From b4b96d9338c1dda1c060f982bfe0d7afb0dfa63e Mon Sep 17 00:00:00 2001 From: Salvatore Filippone Date: Tue, 6 Apr 2021 13:32:03 +0200 Subject: [PATCH 1/2] Change level%csetc to use 'DEC' & friends --- amgprec/impl/level/amg_c_base_onelev_csetc.F90 | 6 +++--- amgprec/impl/level/amg_d_base_onelev_csetc.F90 | 6 +++--- amgprec/impl/level/amg_s_base_onelev_csetc.F90 | 6 +++--- amgprec/impl/level/amg_z_base_onelev_csetc.F90 | 6 +++--- 4 files changed, 12 insertions(+), 12 deletions(-) diff --git a/amgprec/impl/level/amg_c_base_onelev_csetc.F90 b/amgprec/impl/level/amg_c_base_onelev_csetc.F90 index 3b75263f..732f334c 100644 --- a/amgprec/impl/level/amg_c_base_onelev_csetc.F90 +++ b/amgprec/impl/level/amg_c_base_onelev_csetc.F90 @@ -242,10 +242,10 @@ subroutine amg_c_base_onelev_csetc(lv,what,val,info,pos,idx) end if end if - select case(ival) - case(amg_dec_aggr_) + select case(val) + case('DEC') allocate(amg_c_dec_aggregator_type :: lv%aggr, stat=info) - case(amg_sym_dec_aggr_) + case('SYMDEC') allocate(amg_c_symdec_aggregator_type :: lv%aggr, stat=info) case default info = psb_err_internal_error_ diff --git a/amgprec/impl/level/amg_d_base_onelev_csetc.F90 b/amgprec/impl/level/amg_d_base_onelev_csetc.F90 index 1cc62a3d..75eae432 100644 --- a/amgprec/impl/level/amg_d_base_onelev_csetc.F90 +++ b/amgprec/impl/level/amg_d_base_onelev_csetc.F90 @@ -262,10 +262,10 @@ subroutine amg_d_base_onelev_csetc(lv,what,val,info,pos,idx) end if end if - select case(ival) - case(amg_dec_aggr_) + select case(val) + case('DEC') allocate(amg_d_dec_aggregator_type :: lv%aggr, stat=info) - case(amg_sym_dec_aggr_) + case('SYMDEC') allocate(amg_d_symdec_aggregator_type :: lv%aggr, stat=info) case default info = psb_err_internal_error_ diff --git a/amgprec/impl/level/amg_s_base_onelev_csetc.F90 b/amgprec/impl/level/amg_s_base_onelev_csetc.F90 index 7f8a82c8..b7727e4e 100644 --- a/amgprec/impl/level/amg_s_base_onelev_csetc.F90 +++ b/amgprec/impl/level/amg_s_base_onelev_csetc.F90 @@ -242,10 +242,10 @@ subroutine amg_s_base_onelev_csetc(lv,what,val,info,pos,idx) end if end if - select case(ival) - case(amg_dec_aggr_) + select case(val) + case('DEC') allocate(amg_s_dec_aggregator_type :: lv%aggr, stat=info) - case(amg_sym_dec_aggr_) + case('SYMDEC') allocate(amg_s_symdec_aggregator_type :: lv%aggr, stat=info) case default info = psb_err_internal_error_ diff --git a/amgprec/impl/level/amg_z_base_onelev_csetc.F90 b/amgprec/impl/level/amg_z_base_onelev_csetc.F90 index 3a49c635..47b76a24 100644 --- a/amgprec/impl/level/amg_z_base_onelev_csetc.F90 +++ b/amgprec/impl/level/amg_z_base_onelev_csetc.F90 @@ -262,10 +262,10 @@ subroutine amg_z_base_onelev_csetc(lv,what,val,info,pos,idx) end if end if - select case(ival) - case(amg_dec_aggr_) + select case(val) + case('DEC') allocate(amg_z_dec_aggregator_type :: lv%aggr, stat=info) - case(amg_sym_dec_aggr_) + case('SYMDEC') allocate(amg_z_symdec_aggregator_type :: lv%aggr, stat=info) case default info = psb_err_internal_error_ From 53747b85344895343d271a77eb4d337da67f4783 Mon Sep 17 00:00:00 2001 From: Salvatore Filippone Date: Tue, 6 Apr 2021 14:37:34 +0200 Subject: [PATCH 2/2] Add GPU references and example to docs: first round. --- docs/amg4psblas_1.0-guide.pdf | Bin 1814672 -> 1819190 bytes docs/html/index.html | 39 +- docs/html/userhtml.css | 50 +- docs/html/userhtml.html | 39 +- docs/html/userhtml0x.png | Bin 905 -> 892 bytes docs/html/userhtml1x.png | Bin 2101 -> 2060 bytes docs/html/userhtmlli1.html | 8 +- docs/html/userhtmlli2.html | 47 +- docs/html/userhtmlli3.html | 4 +- docs/html/userhtmlli4.html | 37 +- docs/html/userhtmlli5.html | 8 +- docs/html/userhtmlse1.html | 14 +- docs/html/userhtmlse2.html | 6 +- docs/html/userhtmlse3.html | 4 +- docs/html/userhtmlse4.html | 54 +- docs/html/userhtmlse5.html | 36 +- docs/html/userhtmlse6.html | 60 +- docs/html/userhtmlse7.html | 6 +- docs/html/userhtmlse8.html | 224 ++- docs/html/userhtmlse9.html | 26 +- docs/html/userhtmlsu1.html | 37 +- docs/html/userhtmlsu10.html | 193 +-- docs/html/userhtmlsu11.html | 166 +-- docs/html/userhtmlsu12.html | 407 +++--- docs/html/userhtmlsu13.html | 318 +++- docs/html/userhtmlsu14.html | 165 +-- docs/html/userhtmlsu15.html | 461 ++---- docs/html/userhtmlsu16.html | 457 +++++- docs/html/userhtmlsu2.html | 14 +- docs/html/userhtmlsu3.html | 51 +- docs/html/userhtmlsu4.html | 14 +- docs/html/userhtmlsu5.html | 10 +- docs/html/userhtmlsu6.html | 200 +-- docs/html/userhtmlsu7.html | 170 +-- docs/html/userhtmlsu8.html | 2582 +------------------------------- docs/html/userhtmlsu9.html | 2589 +++++++++++++++++++++++++++++++-- docs/src/building.tex | 14 +- docs/src/gettingstarted.tex | 39 + 38 files changed, 4315 insertions(+), 4234 deletions(-) diff --git a/docs/amg4psblas_1.0-guide.pdf b/docs/amg4psblas_1.0-guide.pdf index 6bba698e37ac4ee8b0409a0fec323536470b5734..6e6f8b214e5be7ba20ba086853d3d32ca138b8fd 100644 GIT binary patch delta 124950 zcmbSU2b>f|*8gpq4Qyh%t7kT`vn*j3*x5-vK~Y#G$0Z6#T3~^dg# 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 4.2 GPU example
5 User Interface
 5.1 Method init
 5.2 Method set
 5.3 Method hierarchy_build
 5.4 Method smoothers_build
 5.5 Method build
 5.6 Method apply
 5.7 Method free
 5.8 Method descr
 5.9 Auxiliary Methods
6 Adding new smoother and solver objects to AMG4PSBLAS
7 Error Handling
A License
B Contributor Covenant Code of Conduct
References diff --git a/docs/html/userhtml.css b/docs/html/userhtml.css index 02a4674d..a5ede259 100644 --- a/docs/html/userhtml.css +++ b/docs/html/userhtml.css @@ -13,33 +13,35 @@ .cmbx-12{font-size:109%; font-weight: bold;} .cmbx-12{ font-weight: bold;} .cmbx-12{ font-weight: bold;} -.cmtt-12{font-size:109%;font-family: monospace;} -.cmtt-12{font-family: monospace;} -.cmtt-12{font-family: monospace;} +.cmtt-12{font-size:109%;font-family: monospace,monospace;} +.cmtt-12{font-family: monospace,monospace;} +.cmtt-12{font-family: monospace,monospace;} .cmcsc-10x-x-120{font-size:109%;} .cmr-8{font-size:72%;} .cmmi-12{font-size:109%;font-style: italic;} .cmmi-8{font-size:72%;font-style: italic;} .cmsy-10x-x-120{font-size:109%;} .cmsy-8{font-size:72%;} +.tctt-1200{font-size:109%;font-family: monospace,monospace;} .cmmi-10x-x-109{font-style: italic;} .cmsy-10x-x-109{} -.cmtt-10x-x-109{font-family: monospace;} -.cmtt-10x-x-109{font-family: monospace;} -.cmtt-10x-x-109{font-family: monospace;} +.cmtt-10x-x-109{font-family: monospace,monospace;} +.cmtt-10x-x-109{font-family: monospace,monospace;} +.cmtt-10x-x-109{font-family: monospace,monospace;} .cmcsc-10x-x-109{} -.cmtt-10{font-size:90%;font-family: monospace;} -.cmtt-10{font-family: monospace;} -.cmtt-10{font-family: monospace;} +.cmtt-10{font-size:90%;font-family: monospace,monospace;} +.cmtt-10{font-family: monospace,monospace;} +.cmtt-10{font-family: monospace,monospace;} .cmbx-10x-x-109{ font-weight: bold;} .cmbx-10x-x-109{ font-weight: bold;} .cmbx-10x-x-109{ font-weight: bold;} .cmcsc-10{font-size:90%;} .small-caps{font-variant: small-caps; } -p.noindent { text-indent: 0em } -td p.noindent { text-indent: 0em; margin-top:0em; } -p.nopar { text-indent: 0em; } -p.indent{ text-indent: 1.5em } +p{margin-top:0;margin-bottom:0} +p.indent{text-indent:0;} +p + p{margin-top:1em;} +p + div, p + pre {margin-top:1em;} +div + p, pre + p {margin-top:1em;} @media print {div.crosslinks {visibility:hidden;}} a img { border-top: 0; border-left: 0; border-right: 0; } center { margin-top:1em; margin-bottom:1em; } @@ -62,7 +64,7 @@ div.obeylines-v p { margin-top:0; margin-bottom:0; } td.displaylines {text-align:center; white-space:nowrap;} .centerline {text-align:center;} .rightline {text-align:right;} -div.verbatim {font-family: monospace; white-space: nowrap; text-align:left; clear:both; } +pre.verbatim {font-family: monospace,monospace; text-align:left; clear:both; } .fbox {padding-left:3.0pt; padding-right:3.0pt; text-indent:0pt; border:solid black 0.4pt; } div.fbox {display:table} div.center div.fbox {text-align:center; clear:both; padding-left:3.0pt; padding-right:3.0pt; text-indent:0pt; border:solid black 0.4pt; } @@ -95,18 +97,16 @@ td.td01{ padding-left:0pt; padding-right:5pt; } td.td10{ padding-left:5pt; padding-right:0pt; } td.td11{ padding-left:5pt; padding-right:5pt; } table[rules] {border-left:solid black 0.4pt; border-right:solid black 0.4pt; } -.hline hr, .cline hr{ height : 1px; margin:0px; } +.hline hr, .cline hr{ height : 0px; margin:0px; } +.hline td, .cline td{ padding: 0; } +.hline hr, .cline hr{border:none;border-top:1px solid black;} .tabbing-right {text-align:right;} -span.TEX {letter-spacing: -0.125em; } -span.TEX span.E{ position:relative;top:0.5ex;left:-0.0417em;} -a span.TEX span.E {text-decoration: none; } -span.LATEX span.A{ position:relative; top:-0.5ex; left:-0.4em; font-size:85%;} -span.LATEX span.TEX{ position:relative; left: -0.4em; } div.float, div.figure {margin-left: auto; margin-right: auto;} div.float img {text-align:center;} div.figure img {text-align:center;} -.marginpar {width:20%; float:right; text-align:left; margin-left:auto; margin-top:0.5em; font-size:85%; text-decoration:underline;} -.marginpar p{margin-top:0.4em; margin-bottom:0.4em;} +.marginpar,.reversemarginpar {width:20%; float:right; text-align:left; margin-left:auto; margin-top:0.5em; font-size:85%; text-decoration:underline;} +.marginpar p,.reversemarginpar p{margin-top:0.4em; margin-bottom:0.4em;} +.reversemarginpar{float:left;} table.equation {width:100%;} .equation td{text-align:center; } td.equation { margin-top:1em; margin-bottom:1em; } @@ -149,10 +149,10 @@ div.abstract {width:100%;} .Ovalbox-thick { padding-left:3pt; padding-right:3pt; border:solid thick; } .shadowbox { padding-left:3pt; padding-right:3pt; border:solid thin; border-right:solid thick; border-bottom:solid thick; } .doublebox { padding-left:3pt; padding-right:3pt; border-style:double; border:solid thick; } -.figure img.graphics {margin-left:10%;} +.rotatebox{display: inline-block;} .lstlisting .label{margin-right:0.5em; } -div.lstlisting{font-family: monospace; white-space: nowrap; margin-top:0.5em; margin-bottom:0.5em; } -div.lstinputlisting{ font-family: monospace; white-space: nowrap; } +div.lstlisting{font-family: monospace,monospace; white-space: nowrap; margin-top:0.5em; margin-bottom:0.5em; } +div.lstinputlisting{ font-family: monospace,monospace; white-space: nowrap; } .lstinputlisting .label{margin-right:0.5em;} #TBL-1 colgroup{border-left: 1px solid black;border-right:1px solid black;} #TBL-1{border-collapse:collapse;} diff --git a/docs/html/userhtml.html b/docs/html/userhtml.html index 43741db1..18ae1e4d 100644 --- a/docs/html/userhtml.html +++ b/docs/html/userhtml.html @@ -3,8 +3,8 @@ - - + + @@ -105,75 +105,80 @@ class="cmr-12"> 4.1 Examples +
 4.2 GPU example
5 User Interface
 5.1 Method init
 5.2 Method set
 5.3 Method hierarchy_build
 5.4 Method smoothers_build
 5.5 Method build
 5.6 Method apply
 5.7 Method free
 5.8 Method descr
 5.9 Auxiliary Methods
6 Adding new smoother and solver objects to AMG4PSBLAS
7 Error Handling
A License
B Contributor Covenant Code of Conduct
References diff --git a/docs/html/userhtml0x.png b/docs/html/userhtml0x.png index 96c5cb9beb75e4e632a48b47125e66cf3a369f55..f004430adb9751a9610cd765fec671d3449e8614 100644 GIT binary patch delta 862 zcmV-k1EKth2mA(*7YY^#1^@s6g+LL6ks%m=E=fc|R9Fe^nDI?pF%XAePzOM;LAn7I z8^8usouG6BqD~OO2G9v2x&ds^CL1&xkY0gA=c>-A1hzJxy(8|}CvN&1G11Nac0l(_qU zqNK6lkGN>RWbrqo6XGF(k0m}ACk>Q|uu)vpU3pJ*PB29%Gw7nEkua0w!gm@$?+s~Z z#8iYbgD*-Nde`s(_|7$gj-H#h{~7DFfjpE(^I@A}Ty##trcu|#Z9JaXT%dCr^|T$t zb-o~bf{&Ha?gEK2X@-x2L-HgI@v;4X$TG3<$${}hU5D`)UciTSdFmrKVHdTr`qsm1 zWzNBNPLfWSEq;iw?75+D%GUX{5ou)JVDI5N&Emk_$aVsK5qQd%)lnouecPpHiU@o} zC$mM?AlAD==#$_zG~qiw7Z`?mhVD($)i+}?e)_47r)jo)1JcmSP^KcBt=b|p z$^E*Vu}EvIQ`hOLk6$8cT`bCP+k9Jl5s+n*Q%4NLKzAi)=Fb zPi?4Y_?+FG#GYdFmqLSDk7qP;!9M*}qqJZ;ZmaXlF}A@e1esGyh3-4+-e+#K)LKGX zlZLXl$R~Cnp~?jU#YBjljW=k2RM#m>KZN3NAQ#roQLbNh(+b)75R%$zf`hBxD2TUw40~AHi zeOU_F_6gE>QXva}&!hu7f!NiM zFb1P2YHbKE9oY(lFY8aA9ww&2_wr0R2FOTO|?Y%(oRTcnNgYfzNw|3c6J%>14!9lg^4jNdnD-1ruPk zA>`)ca-F#+;>X=?$&az}w1Z-^1U~i;v2-nvy|!rQL_mSwG;QYX@$*sZ5V8QvZ6TT-i==tIr6 z_^qlQb|=z^B$IFXi81R^oQhX(5gGn1qtLIR=Dn&xrNV5>*OIry_=b0c^L^X4S%@Gg zWwiSn`@`3AEk!|-=vdLAR`p|JvmRq)Op*^Vj~<@6D-{TOb#;;{Jac7#wUmdRm+G;@ z&yADvec8Uw=Y}@ZQo(2d$xJIao{UM-J(8h)g>0&@tP7GawMhJc zf1i0wliu5!UKdwIIR!*kQPVFApcu3WIfFouFGdKo7B`dm2nh1le38v+4S`Lh)lli- z5oM;Z$4#X50Mx@iN_l#d(|X{UVH0H*fqU?p`~}DbB-Ei%jfMaK002ovPDHLkV1f?3 Bt2Y1u diff --git a/docs/html/userhtml1x.png b/docs/html/userhtml1x.png index 4c10c20075b681e0d62521cc8482758089c58c31..20f909a776854ab70e034e7242792bd12175c9e3 100644 GIT binary patch delta 2025 zcmVzd6=ZM+ zI29zg1Dpyl?f}oEfY@|EzMs&y(du^hw0pNVw|L)-PSTU~{y#}8*t@^K|6zvRvcTTn z-i0K3F5f)aEy<=W&6MoAKW$S#TIr9Z*^vV2;L&Or6_bv~Du1_I(seR+T|9QjPfxvQ%q{JfMb7IxY09$q)pghB@2W2b$rZmbPh|94 z6+SpAH!9~U2aLO@f2G2_H!7DZ-&DYH<>I?2^gTbVH3kppn*OQU&@j)-bbd)&Yo90U zq4Uk_)J|zLc7N_M*TNyQ^+vW+kGU2Ooh)OZuReUO3uDkY@*3B|VMEjRyuj0QTx(t~ zFMMnE_gvSEt5^r-L*v-vu7$(a$U$K~Clr1|Ce~ee?z**Tt<+g_j#X^aw)!TQMQeKd zLTifbs(EYKNb5Hm-y!J|g%OT|^X#-LIO3R%gOf>6&wm3?pSqR=5zjn~1pPE9=!0K! 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 4.2 GPU example
5 User Interface
 5.1 Method init
 5.2 Method set
 5.3 Method hierarchy_build
 5.4 Method smoothers_build
 5.5 Method build
 5.6 Method apply
 5.7 Method free
 5.8 Method descr
 5.9 Auxiliary Methods
  5.9.1 Method: dump
  5.9.2 Method: clone
  5.9.3 Method: sizeof
  5.9.4 Method: allocate_wrk
  5.9.5 Method: free_wrk
6 Adding new smoother and solver objects to AMG4PSBLAS
7 Error Handling
A License
B Contributor Covenant Code of Conduct diff --git a/docs/html/userhtmlli3.html b/docs/html/userhtmlli3.html index a102ce70..e358a8db 100644 --- a/docs/html/userhtmlli3.html +++ b/docs/html/userhtmlli3.html @@ -3,8 +3,8 @@ Contributors - - + + diff --git a/docs/html/userhtmlli4.html b/docs/html/userhtmlli4.html index dba92584..2a339025 100644 --- a/docs/html/userhtmlli4.html +++ b/docs/html/userhtmlli4.html @@ -3,8 +3,8 @@ Citing AMG4PSBLAS - - + + @@ -32,24 +32,23 @@ class="cmr-12">When use the library, please cite the following: -
+ 
 @article{DDF2021,
- 
       author = {D’Ambra, Pasqua and Durastante, Fabio and Filippone, Salvatore},
- 
       title = {{{AMG Preconditioners for Linear Solvers towards Extreme Scale}},
- 
       journal = {arXiv e-preprints},
- 
       eprint = {2006.16147v3},
- 
       archivePrefix = {arXiv},
- 
       year={2021}
- 
     }
- 

- 
@Misc{psctoolkit-web-page,
- 
       author = {D’Ambra, Pasqua and Durastante, Fabio and Filippone, Salvatore},
- 
       title =  {{PSCToolkit} {W}eb page},
- 
       url =    {https://psctoolkit.github.io/},
- 
       howpublished = {\url{https://psctoolkit.github.io/}},
- 
       year = {2021}
- 
     }
-
+       author = {D’Ambra, Pasqua and Durastante, Fabio and Filippone, Salvatore}, +       title = {{{AMG Preconditioners for Linear Solvers towards Extreme Scale}}, +       journal = {arXiv e-preprints}, +       eprint = {2006.16147v3}, +       archivePrefix = {arXiv}, +       year={2021} +     } +@Misc{psctoolkit-web-page, +       author = {D’Ambra, Pasqua and Durastante, Fabio and Filippone, Salvatore}, +       title =  {{PSCToolkit} {W}eb page}, +       url =    {https://psctoolkit.github.io/}, +       howpublished = {\url{https://psctoolkit.github.io/}}, +       year = {2021} +     } +

diff --git a/docs/html/userhtmlli5.html b/docs/html/userhtmlli5.html index 7203781c..d712d8cf 100644 --- a/docs/html/userhtmlli5.html +++ b/docs/html/userhtmlli5.html @@ -3,8 +3,8 @@ References - - + + @@ -25,7 +25,7 @@ href="userhtml.html#userhtmlli5.html" >up]

References

@@ -211,7 +211,7 @@ class="cmr-12"> Pothen, Distributed-memory parallel algorithms for matching and coloring, in PCO11 New Trends in Parallel Computing and Optimization, +class="cmr-12">, in PCO’11 New Trends in Parallel Computing and Optimization, IEEE International Symposium on Parallel and Distributed Processing General Overview - - + + @@ -299,7 +299,7 @@ class="cmr-12">smoothers and solvers for building new versions of the preconditi Section 6).

, where the Fortran codes of a few sample programs are also shown A reference guide for the user interface routines is provided in Section 5. Information on the extension of the package through the addition smoothers and solvers is reported in Section 6. The error handling mechanism used by the package is briefly described in Section 7. The copyright terms concerning the distribution and modification of AMG4PSBLAS are re Appendix A. diff --git a/docs/html/userhtmlse2.html b/docs/html/userhtmlse2.html index 474befde..03862797 100644 --- a/docs/html/userhtmlse2.html +++ b/docs/html/userhtmlse2.html @@ -3,8 +3,8 @@ Code Distribution - - + + @@ -42,7 +42,7 @@ class="cmr-12">where contact points for further information can be also found.

The software is available under a modified BSD license, as specified in Appendix A; Configuring and Building AMG4PSBLAS - - + + diff --git a/docs/html/userhtmlse4.html b/docs/html/userhtmlse4.html index f57cede2..0a78b57d 100644 --- a/docs/html/userhtmlse4.html +++ b/docs/html/userhtmlse4.html @@ -3,8 +3,8 @@ Getting Started - - + + @@ -131,14 +131,14 @@ class="cmr-12">list of all the preconditioner parameters and their allowed and d is provided in Section 5, Tables 2-8. @@ -208,7 +208,7 @@ class="cmr-12">All the previous routines are available as methods of the precond detailed description of them is given in Section 5. Examples showing the basic use of type e

string g

der

No preconditioner No preconditioner

’NONE’ ’

Considered to use the PSBLAS Krylov solvers with no preconditioner.

Diagonal Diagonal

’DIAG’L1-JACOBI’ ’

Diagonal preconditioner. For any zero diagonal entry of the matrix to be preconditioned, the corresponding entry @@ -309,7 +309,7 @@ of the preconditioner is set to 1.

Gauss-Seidel Gauss-Seidel

’GS’L1-GS’ ’

Hybrid Gauss-Seidel (forward), that is, global block Jacobi with Gauss-Seidel as local solver.

Symmetrized Gauss-SeidelSymmetrized Gauss-Seidel

’FBGS’L1-FBGS’ ’

Symmetrized hybrid Gauss-Seidel, that is, forward Gauss-Seidel followed by backward Gauss-Seidel.

Block Jacobi Block Jacobi

’BJAC’L1-BJAC’ ’

Block-Jacobi with ILU(0) on the local blocks.

Additive Schwarz Additive Schwarz

’AS’ ’

Additive Schwarz (AS), with overlap 1 and ILU(0) on the local blocks.

Multilevel Multilevel

’ML’ ’

V-cycle with one hybrid forward Gauss-Seidel (GS) sweep as pre-smoother and one hybrid backward @@ -382,8 +382,8 @@ smoothed aggregation as coarsening algorithm, and LU (plus triangular solve) as coarsest-level solver. See the default values in Tables 2-8 for further details of +href="userhtmlsu9.html#x19-18009r2">2-8 for further details of the preconditioner.

 4.1 Examples +
 4.2 GPU example
+ diff --git a/docs/html/userhtmlse5.html b/docs/html/userhtmlse5.html index b4a1075b..a7e1fb0e 100644 --- a/docs/html/userhtmlse5.html +++ b/docs/html/userhtmlse5.html @@ -3,8 +3,8 @@ User Interface - - + + @@ -29,7 +29,7 @@ class="cmr-12">up]

5 User Interface

The basic user interface of AMG4PBLAS consists of eight methods. The six methods @@ -151,7 +151,7 @@ class="cmr-12">the precision of the sparse matrix and preconditioner data struct Section 5.2).

A description of each method is given in the remainder of this se  5.1 Method init
 5.2 Method set
 5.3 Method hierarchy_build
 5.4 Method smoothers_build
 5.5 Method build
 5.6 Method apply
 5.7 Method free
 5.8 Method descr
 5.9 Auxiliary Methods
  5.9.1 Method: dump
  5.9.2 Method: clone
  5.9.3 Method: sizeof
  5.9.4 Method: allocate_wrk
  5.9.5 Method: free_wrk diff --git a/docs/html/userhtmlse6.html b/docs/html/userhtmlse6.html index 8364d568..a9fefe86 100644 --- a/docs/html/userhtmlse6.html +++ b/docs/html/userhtmlse6.html @@ -3,8 +3,8 @@ Adding new smoother and solver objects to AMG4PSBLAS - - + + @@ -29,7 +29,7 @@ class="cmr-12">up]

6 Adding new smoother and solver objects to AMG4PSBLAS

Developers can add completely new smoother and/or solver classes derived from the @@ -37,7 +37,7 @@ class="cmr-12">Developers can add completely new smoother and/or solver classes class="cmr-12">base objects in the library (see Remark 2 in Section 5.2), without recompiling the

smoother smoother

class(amg_x_base_smoother_type)

The user-defined new smoother to be employed in the preconditioner.

solver solver

class(amg_x_base_solver_type)

The user-defined new solver to be employed in the preconditioner.

The other arguments are defined in the way described in Sec. 5.2. As an example, in the pass it as follows: -

- 
  ! sparse matrix and preconditioner - 
  type(psb_dspmat_type) :: a - 
  type(amg_dprec_type)  :: prec - 
  type(amg_d_tlu_solver_type) :: tlusv - 
- 
...... - 
  ! - 
  !  prepare the preconditioner: an ML with defaults, but with TLU solver at - 
  !  intermediate levels. All other parameters are at default values. - 
  ! - 
  call prec%init(’ML’,       info) - 
  call prec%hierarchy_build(a,desc_a,info) - 
  nlv = prec%get_nlevs() - 
  call prec%set(tlusv,   info,ilev=1,ilmax=max(1,nlv-1)) - 
  call prec%smoothers_build(a,desc_a,info) - 
-
+ 
+  ! sparse matrix and preconditioner
+  type(psb_dspmat_type) :: a
+  type(amg_dprec_type)  :: prec
+  type(amg_d_tlu_solver_type) :: tlusv
+......
+  !
+  !  prepare the preconditioner: an ML with defaults, but with TLU solver at
+  !  intermediate levels. All other parameters are at default values.
+  !
+  call prec%init(’ML’,       info)
+  call prec%hierarchy_build(a,desc_a,info)
+  nlv = prec%get_nlevs()
+  call prec%set(tlusv,   info,ilev=1,ilmax=max(1,nlv-1))
+  call prec%smoothers_build(a,desc_a,info)
+

diff --git a/docs/html/userhtmlse7.html b/docs/html/userhtmlse7.html index be3f3a40..df4dc649 100644 --- a/docs/html/userhtmlse7.html +++ b/docs/html/userhtmlse7.html @@ -3,8 +3,8 @@ Error Handling - - + + @@ -29,7 +29,7 @@ class="cmr-12">up]

7 Error Handling

The error handling in AMG4PSBLAS is based on the PSBLAS error handling. Error diff --git a/docs/html/userhtmlse8.html b/docs/html/userhtmlse8.html index 7be9a287..b840cd20 100644 --- a/docs/html/userhtmlse8.html +++ b/docs/html/userhtmlse8.html @@ -3,8 +3,8 @@ License - - + + @@ -29,49 +29,44 @@ class="cmr-12">up]

A License

AMG4PSBLAS is freely distributable under the following copyright terms: -

- 
                           AMG4PSBLAS  version 1.0 - 
              Algebraic MultiGrid Preconditioners Package - 
             based on PSBLAS (Parallel Sparse BLAS version 3.7) - 
- 
  (C) Copyright 2021 - 
- 
  Pasqua D’Ambra         IAC-CNR, IT - 
  Fabio Durastante       University of Pisa and IAC-CNR, IT - 
  Salvatore Filippone    University of Rome Tor-Vergata and IAC-CNR, IT - 
- 
  Redistribution and use in source and binary forms, with or without - 
  modification, are permitted provided that the following conditions - 
  are met: - 
    1. Redistributions of source code must retain the above copyright - 
       notice, this list of conditions and the following disclaimer. - 
    2. Redistributions in binary form must reproduce the above copyright - 
       notice, this list of conditions, and the following disclaimer in the - 
       documentation and/or other materials provided with the distribution. - 
    3. The name of the MLD2P4 group or the names of its contributors may - 
       not be used to endorse or promote products derived from this - 
       software without specific written permission. - 
- 
  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS - 
  ‘‘AS IS’’ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED - 
  TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR - 
  PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE MLD2P4 GROUP OR ITS CONTRIBUTORS - 
  BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR - 
  CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF - 
  SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS - 
  INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN - 
  CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) - 
  ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE - 
  POSSIBILITY OF SUCH DAMAGE. - 
-
+ 
+                           AMG4PSBLAS  version 1.0
+              Algebraic MultiGrid Preconditioners Package
+             based on PSBLAS (Parallel Sparse BLAS version 3.7)
+  (C) Copyright 2021
+  Pasqua D’Ambra         IAC-CNR, IT
+  Fabio Durastante       University of Pisa and IAC-CNR, IT
+  Salvatore Filippone    University of Rome Tor-Vergata and IAC-CNR, IT
+  Redistribution and use in source and binary forms, with or without
+  modification, are permitted provided that the following conditions
+  are met:
+    1. Redistributions of source code must retain the above copyright
+       notice, this list of conditions and the following disclaimer.
+    2. Redistributions in binary form must reproduce the above copyright
+       notice, this list of conditions, and the following disclaimer in the
+       documentation and/or other materials provided with the distribution.
+    3. The name of the MLD2P4 group or the names of its contributors may
+       not be used to endorse or promote products derived from this
+       software without specific written permission.
+  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+  ‘‘AS IS’’ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
+  TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+  PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE MLD2P4 GROUP OR ITS CONTRIBUTORS
+  BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+  CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+  SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+  INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+  CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+  ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+  POSSIBILITY OF SUCH DAMAGE.
+

@@ -83,44 +78,37 @@ class="cmr-12">abide by its terms: -

- 
- 
                           MLD2P4  version 2.2 - 
  MultiLevel Domain Decomposition Parallel Preconditioners Package - 
             based on PSBLAS (Parallel Sparse BLAS version 3.5) - 
- 
  (C) Copyright 2008-2018 - 
- 
      Salvatore Filippone - 
      Pasqua D’Ambra - 
      Daniela di Serafino - 
- 
- 
  Redistribution and use in source and binary forms, with or without - 
  modification, are permitted provided that the following conditions - 
  are met: - 
    1. Redistributions of source code must retain the above copyright - 
       notice, this list of conditions and the following disclaimer. - 
    2. Redistributions in binary form must reproduce the above copyright - 
       notice, this list of conditions, and the following disclaimer in the - 
       documentation and/or other materials provided with the distribution. - 
    3. The name of the MLD2P4 group or the names of its contributors may - 
       not be used to endorse or promote products derived from this - 
       software without specific written permission. - 
- 
  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS - 
  ‘‘AS IS’’ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED - 
  TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR - 
  PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE MLD2P4 GROUP OR ITS CONTRIBUTORS - 
  BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR - 
  CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF - 
  SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS - 
  INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN - 
  CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) - 
  ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE - 
  POSSIBILITY OF SUCH DAMAGE. - 
-
+ 
+                           MLD2P4  version 2.2
+  MultiLevel Domain Decomposition Parallel Preconditioners Package
+             based on PSBLAS (Parallel Sparse BLAS version 3.5)
+  (C) Copyright 2008-2018
+      Salvatore Filippone
+      Pasqua D’Ambra
+      Daniela di Serafino
+  Redistribution and use in source and binary forms, with or without
+  modification, are permitted provided that the following conditions
+  are met:
+    1. Redistributions of source code must retain the above copyright
+       notice, this list of conditions and the following disclaimer.
+    2. Redistributions in binary form must reproduce the above copyright
+       notice, this list of conditions, and the following disclaimer in the
+       documentation and/or other materials provided with the distribution.
+    3. The name of the MLD2P4 group or the names of its contributors may
+       not be used to endorse or promote products derived from this
+       software without specific written permission.
+  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+  ‘‘AS IS’’ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
+  TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+  PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE MLD2P4 GROUP OR ITS CONTRIBUTORS
+  BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+  CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+  SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+  INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+  CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+  ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+  POSSIBILITY OF SUCH DAMAGE.
+

AMG4PSBLAS is distributed together with (a small part) of the graph-matching @@ -139,48 +127,48 @@ class="cmr-12">here. -

+ 
 // ***********************************************************************
- 
//
- 
//        MatchboxP: A C++ library for approximate weighted matching
- 
//               Mahantesh Halappanavar (hala@pnnl.gov)
- 
//               Pacific Northwest National Laboratory
- 
//
- 
// ***********************************************************************
- 
//
- 
//       Copyright (2021) Battelle Memorial Institute
- 
//                      All rights reserved.
- 
//
- 
// Redistribution and use in source and binary forms, with or without
- 
// modification, are permitted provided that the following conditions
- 
// are met:
- 
//
- 
// 1. Redistributions of source code must retain the above copyright
- 
// notice, this list of conditions and the following disclaimer.
- 
//
- 
// 2. Redistributions in binary form must reproduce the above copyright
- 
// notice, this list of conditions and the following disclaimer in the
- 
// documentation and/or other materials provided with the distribution.
- 
//
- 
// 3. Neither the name of the copyright holder nor the names of its
- 
// contributors may be used to endorse or promote products derived from
- 
// this software without specific prior written permission.
- 
//
- 
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
- 
// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
- 
// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
- 
// FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
- 
// COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
- 
// INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
- 
// BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
- 
// LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
- 
// CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
- 
// LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
- 
// ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
- 
// POSSIBILITY OF SUCH DAMAGE.
- 
//
- 
// ************************************************************************
-
+// +//        MatchboxP: A C++ library for approximate weighted matching +//               Mahantesh Halappanavar (hala@pnnl.gov) +//               Pacific Northwest National Laboratory +// +// *********************************************************************** +// +//       Copyright (2021) Battelle Memorial Institute +//                      All rights reserved. +// +// Redistribution and use in source and binary forms, with or without +// modification, are permitted provided that the following conditions +// are met: +// +// 1. Redistributions of source code must retain the above copyright +// notice, this list of conditions and the following disclaimer. +// +// 2. Redistributions in binary form must reproduce the above copyright +// notice, this list of conditions and the following disclaimer in the +// documentation and/or other materials provided with the distribution. +// +// 3. Neither the name of the copyright holder nor the names of its +// contributors may be used to endorse or promote products derived from +// this software without specific prior written permission. +// +// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS +// FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE +// COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, +// INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, +// BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; +// LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +// CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT +// LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN +// ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE +// POSSIBILITY OF SUCH DAMAGE. +// +// ************************************************************************ +

diff --git a/docs/html/userhtmlse9.html b/docs/html/userhtmlse9.html index 220606fb..3db740b8 100644 --- a/docs/html/userhtmlse9.html +++ b/docs/html/userhtmlse9.html @@ -3,8 +3,8 @@ Contributor Covenant Code of Conduct - - + + @@ -29,12 +29,12 @@ class="cmr-12">up]

B Contributor Covenant Code of Conduct

Our Pledge We as members, contributors, and leaders pledge to make participation in @@ -91,7 +91,7 @@ class="cmr-12">Trolling, insulting or derogatory comments, and personal or polit class="cmr-12">Public or private harassment

  • Publishing others private information, such as a physical or email address, +class="cmr-12">Publishing others’ private information, such as a physical or email address, without their explicit permission
    • @@ -100,7 +100,7 @@ class="cmr-12">Other conduct which could reasonably be considered inappro professional setting

    Enforcement Responsibilities Community leaders are responsible for clarifying and enforcing our standards of @@ -138,7 +138,7 @@ class="cmr-12">leaders are obligated to respect the privacy and security of the incident.

    Enforcement Guidelines Community leaders will follow these Community Impact Guidelines in @@ -148,7 +148,7 @@ class="cmr-12">determining the consequences for any action they deem in violatio class="cmr-12">Conduct:

    1. Correction

      Community Impact: clarity around the nature of the violation and an explanation of class="cmr-12">behavior was inappropriate. A public apology may be requested.

    2. Warning

      Community Impact: channels like social media. Violating these terms may lead to a t class="cmr-12">or permanent ban.

    3. Temporary Ban

      Community Impact: interaction with those enforcing the Code of Conduct, is allowed class="cmr-12">period. Violating these terms may lead to a permanent ban.

    4. Permanent Ban

      Community Impact: A permanent ban from any sort of public interaction within the community.

    Attribution This Code of Conduct is adapted from the Contributor Covenant, version 2.0, @@ -234,7 +234,7 @@ class="cmr-12">_of_conduct .html. Community Impact Guidelines were inspired by Mozillas code of conduct +class="cmr-12">. Community Impact Guidelines were inspired by Mozilla’s code of conduct enforcement ladder. For answers to common questions about this code of conduct, see Prerequisites - - + + @@ -124,10 +124,39 @@ class="cmr-12">Please note that the four previous libraries must have Fortran in class="cmr-12">AMG4PSBLAS; usually this means that they should all be built with the same compiler being used for AMG4PSBLAS. +

    If you want to use the PSBLAS support for NVIDIA GPUs, you will also +need: +

    +PSBLAS-EXT
    Parallel Sparse BLAS (PSBLAS) Extensions, available from + psctoolkit.github.io/products/psblasext/; version 1.3.0 (or later). +
    +SPGPU
    Sparse CUDA kernels for NVIDIA GPUs; available from GitHub, see + also psctoolkit.github.io/products/psblasext/.
    +

    See also Sec 4.2. -

    [next] [up]

    -

    diff --git a/docs/html/userhtmlsu10.html b/docs/html/userhtmlsu10.html index 657513ff..ebbb87aa 100644 --- a/docs/html/userhtmlsu10.html +++ b/docs/html/userhtmlsu10.html @@ -1,16 +1,16 @@ -Method smoothers_build +Method hierarchy_build - - + + -

    [nextup]

    5.4 Method smoothers5.3 Method hierarchy_build

    -

    -

    +

    call p%smoothers_buildhierarchy_build(a,desc_a,p,info[,amold,vmold,imold])
    +class="cmtt-12">)

    -

    This method builds the smoothers and the coarsest-level solvers for the multilevel +

    This method builds the hierarchy of matrices and restriction/prolongation operators for preconditioner the multilevel preconditioner p, according to the requirements made by the user through the methods -, according to the requirements made by the user +through the methods init and set, and based on the aggregation hierarchy produced by a previous call to -hierarchy_build (see Section 5.3). -

    . +

    Arguments -

    - - - - - -

    a

    a

    type(psb_in).

    The sparse matrix structure containing the local part of the matrix to be preconditioned. Note that 20].

    desc_a

    desc_a

    type(psb_desc_typein).

    The communication descriptor of a. See the PSBLAS User’s Guide @@ -149,10 +135,10 @@ class="cmr-12">20].

    info

    info

    integer, out).

    Error code. If no error, 0 is returned. See Section 7 for details.

    amold

    class(psb_x_base_sparse_mat), intent(in), optional.

    The desired dynamic type for internal matrix components; this -allows e.g. running on GPUs; it needs not be the same on all -processes. See the PSBLAS User’s Guide for details [20].

    vmold

    class(psb_x_base_vect_type), intent(in), optional.

    The desired dynamic type for internal vector components; this -allows e.g. running on GPUs.

    imold

    class(psb_i_base_vect_type), intent(in), optional.

    The desired dynamic type for internal integer vector components; -this allows e.g. running on GPUs.

    @@ -262,7 +165,7 @@ class="td11">
    -

    [next] [up]

    -

    diff --git a/docs/html/userhtmlsu11.html b/docs/html/userhtmlsu11.html index 7805ef65..f8a6b1e8 100644 --- a/docs/html/userhtmlsu11.html +++ b/docs/html/userhtmlsu11.html @@ -1,16 +1,16 @@ -Method build +Method smoothers_build - - + + -

    [nextup]

    5.5 Method build

    +class="cmr-12">5.4 Method smoothers_build
    -

    -

    +

    call p%buildsmoothers_build(a,desc_a,p,info[,amold,imold])

    -

    This method builds the preconditioner p according to the requirements made by the +

    This method builds the smoothers and the coarsest-level solvers for the multilevel user through the methods preconditioner p, according to the requirements made by the user through the methods +init and set (see Sections 5.3 and 5.4 for multilevel -preconditioners). It is mostly provided for backward compatibility; indeed, it is -internally implemented by invoking the two previous methods hierarchy_build and +class="cmtt-12">set, and based on the aggregation hierarchy produced by a previous call to smoothers_build, whose nomenclature would however be somewhat unnatural when -dealing with simple one-level preconditioners. -

    hierarchy_build (see Section 5.3). +

    Arguments -

    a

    a

    type(psb_in).

    The sparse matrix structure containing the local part of the matrix to be preconditioned. Note that 20].

    desc_a

    desc_a

    type(psb_desc_typein).

    The communication descriptor of a. See the PSBLAS User’s Guide @@ -157,10 +149,10 @@ class="cmr-12">20].

    info

    info

    integer, out).

    Error code. If no error, 0 is returned. See Section 7 for details.

    amold

    amold

    class(psb_ optional.

    The desired dynamic type for internal matrix components; this allows e.g. running on GPUs; it needs not be the same on all @@ -212,10 +204,10 @@ class="cmr-12">20].

    vmold

    vmold

    class(psb_ optional.

    The desired dynamic type for internal vector components; this allows e.g. running on GPUs.

    imold

    imold

    class(psb_i_base_vect_type optional.

    The desired dynamic type for internal integer vector components; this allows e.g. running on GPUs.

    -

    The method can be used to build multilevel preconditioners too. -

    [next] [up]

    -

    diff --git a/docs/html/userhtmlsu12.html b/docs/html/userhtmlsu12.html index a13c92a3..6c3a5807 100644 --- a/docs/html/userhtmlsu12.html +++ b/docs/html/userhtmlsu12.html @@ -1,16 +1,16 @@ -Method apply +Method build - - + + -

    [nextup]

    5.6 Method apply

    +class="cmr-12">5.5 Method build
    -

    -

    +

    call p%applybuild(x,ya,desc_a,info [,transamold,workvmold,imold])

    -

    This method computes y = op(B-1) x, where B is a previously built preconditioner, +

    This method builds the preconditioner p according to the requirements made by the stored into p, and op denotes the preconditioner itself or its transpose, according to the +class="cmr-12">user through the methods init and set (see Sections 5.3 and 5.4 for multilevel value of trans. Note that, when AMG4PSBLAS is used with a Krylov solver from +class="cmr-12">preconditioners). It is mostly provided for backward compatibility; indeed, it is PSBLAS, p%apply is called within the PSBLAS method psb_krylov and hence it is +class="cmr-12">internally implemented by invoking the two previous methods hierarchy_build and +smoothers_build, whose nomenclature would however be somewhat unnatural when completely transparent to the user. -

    dealing with simple one-level preconditioners. +

    Arguments -

    - - +class="cmr-12">. +class="cmr-12">under use. See the PSBLAS User’s Guide for details [20]. +class="cmr-12">for details [20]. +class="cmtt-12">), optional. +class="cmr-12">processes. See the PSBLAS User’s Guide for details [20]. - + + + +class="cmr-12">this allows e.g. running on GPUs.

    x

    type

    a

    type(kind_parameter), dimension(:), intent(in)—.

    The local part of the vector x. Note that type and kind_parameter -must be chosen according to the real/complex, single/double -precision version of AMG4PSBLAS under use.

    y

    typepsb_xspmat_type), intent(kind_parameterin), dimension(:), intent(out)—.

    The local part of the vector y. Note that type and kind_parameter + style="vertical-align:baseline;" id="TBL-13-2-">

    The sparse matrix structure containing the local part of the matrix must be chosen according to the to be preconditioned. Note that x must be chosen according to the +real/complex, single/double +class="cmr-12">, single/double precision version of AMG4PSBLAS precision version of AMG4PSBLAS under use.

    desc_a

    desc_a

    type(psb_desc_typein).

    The communication descriptor associated to the matrix to be + style="vertical-align:baseline;" id="TBL-13-4-">

    The communication descriptor of a. See the PSBLAS User’s Guide preconditioned.

    info

    info

    integer, out).

    Error code. If no error, 0 is returned. See Section 7 for details.

    trans

    character

    amold

    class(len=1), optional,psb_x_base_sparse_mat), intent(in).

    If trans = ’N’,’n’ then op(B-1) = B-1; if trans = ’T’,’t’ + style="vertical-align:baseline;" id="TBL-13-8-">

    The desired dynamic type for internal matrix components; this then op(B-1) = B-T (transpose of B-1); if trans = ’C’,’c’ then +class="cmr-12">allows e.g. running on GPUs; it needs not be the same on all op(B-1) = B-C (conjugate transpose of B-1).

    work

    type

    vmold

    class(kind_parameter), dimension(:), optional, target—.

    Workspace. Its size should be at least 4 *psb_x_base_vect_type), psb_cd_get_local_ -colsintent(desc_a) (see the PSBLAS User’s Guide). Note that type and +class="cmtt-12">in), optional.

    The desired dynamic type for internal vector components; this kind_parameter must be chosen according to the real/complex, +class="cmr-12">allows e.g. running on GPUs.

    imold

    class(psb_i_base_vect_type), intent(in), optional.

    The desired dynamic type for internal integer vector components; single/double precision version of AMG4PSBLAS under use.

    +

    The method can be used to build multilevel preconditioners too. - - - -

    [next] [up]

    -

    diff --git a/docs/html/userhtmlsu13.html b/docs/html/userhtmlsu13.html index 37404324..815098fd 100644 --- a/docs/html/userhtmlsu13.html +++ b/docs/html/userhtmlsu13.html @@ -1,16 +1,16 @@ -Method free +Method apply - - + + -

    [nextup]

    5.7 Method free

    +class="cmr-12">5.6 Method apply
    -

    -

    +

    call p%freeapply(px,y,desc_a,info)
    +class="cmtt-12"> [,trans,work])

    -

    This method deallocates the preconditioner data structure

    This method computes y = op(B-1) x, where B is a previously built preconditioner, +stored into p. -

    , and op denotes the preconditioner itself or its transpose, according to the +value of trans. Note that, when AMG4PSBLAS is used with a Krylov solver from +PSBLAS, p%apply is called within the PSBLAS method psb_krylov and hence it is +completely transparent to the user. +

    Arguments -

    + + + + + + +class="cmr-12">. + + + + +class="cmti-12">kind_parameter must be chosen according to the real/complex, +single/double precision version of AMG4PSBLAS under use.

    info

    x

    type(kind_parameter), dimension(:), intent(in)—.

    The local part of the vector x. Note that type and kind_parameter +must be chosen according to the real/complex, single/double +precision version of AMG4PSBLAS under use.

    y

    type(kind_parameter), dimension(:), intent(out)—.

    The local part of the vector y. Note that type and kind_parameter +must be chosen according to the real/complex, single/double +precision version of AMG4PSBLAS under use.

    desc_a

    type(psb_desc_type), intent(in).

    The communication descriptor associated to the matrix to be +preconditioned.

    info

    integer, intent(out).

    Error code. If no error, 0 is returned. See Section 7 for +class="cmr-12">for details.

    trans

    character(len=1), optional, intent(in).

    If trans = ’N’,’n’ then op(B-1) = B-1; if trans = ’T’,’t’ +then op(B-1) = B-T (transpose of B-1); if trans = ’C’,’c’ then +op(B-1) = B-C (conjugate transpose of B-1).

    work

    type(kind_parameter), dimension(:), optional, target—.

    Workspace. Its size should be at least 4 * psb_cd_get_local_ +cols(desc_a) (see the PSBLAS User’s Guide). Note that type and details.

    @@ -89,7 +336,10 @@ class="td11">
    -

    [next] [up]

    -

    diff --git a/docs/html/userhtmlsu14.html b/docs/html/userhtmlsu14.html index 3cd6c9be..9a39d0ce 100644 --- a/docs/html/userhtmlsu14.html +++ b/docs/html/userhtmlsu14.html @@ -1,16 +1,16 @@ -Method descr +Method free - - + + -

    [nextup]

    5.8 Method descr

    +class="cmr-12">5.7 Method free
    -

    -

    +

    call p%descrfree(info, [iout, rootp, verbosity])
    +class="cmtt-12">info)

    -

    This method prints a description of the preconditioner p to the standard output or to a -file. It must be called after hierachy_build and smoothers_build, or build, have -been called. -

    This method deallocates the preconditioner data structure p. +

    Arguments -

    +class="cmr-12">. - - - - - - +class="cmr-12">details.

    info

    info

    integer, intent(out).

    Error code. If no error, 0 is returned. See Section 7 for details.

    iout

    integer, intent(in), optional.

    The id of the file where the preconditioner description will be -printed; the default is the standard output.

    root

    integer, intent(in), optional.

    The id of the process where the preconditioner description -will be printed; the default is psb_root_.

    verbosity

    integer, intent(in), optional.

    The verbosity level of the description. Default value is 0. For -values higher than 0, it prints out further information, e.g., for +class="cmr-12">for a distributed multilevel preconditioner the size of the coarse -matrices on every process.

    + style="vertical-align:baseline;" id="TBL-15-3-">
    -

    [next] [up]

    -

    diff --git a/docs/html/userhtmlsu15.html b/docs/html/userhtmlsu15.html index 78bf0798..5a45e88f 100644 --- a/docs/html/userhtmlsu15.html +++ b/docs/html/userhtmlsu15.html @@ -1,17 +1,20 @@ -Auxiliary Methods +Method descr - - + + -

    [next] [prev] [up]

    5.9 Auxiliary Methods

    -

    Various functionalities are implemented as additional methods of the preconditioner -object. -

    -

    5.9.1 Method: dump
    +class="cmr-12">5.8 Method descr
    -

    -

    +

    call p%dumpdescr(info[,istart,iend,prefix,head,ac,rp,smoother [iout,solver root,global_num verbosity])

    -

    Dump on file. -

    This method prints a description of the preconditioner p to the standard output or to a +file. It must be called after hierachy_build and smoothers_build, or build, have +been called. +

    Arguments -

    +class="cmr-12">. +class="cmr-12">for details. +class="cmr-12">. +class="cmr-12">printed; the default is the standard output.

    info

    info

    integer, intent(out).

    Error code. If no error, 0 is returned. See Section 7 for details.

    amold

    class(psb_x_base_sparse_mat),

    iout

    integer, intent(in), optional.

    The desired dynamic type for internal matrix components; this + style="vertical-align:baseline;" id="TBL-16-4-">

    The id of the file where the preconditioner description will be allows e.g. running on GPUs; it needs not be the same on all -processes. See the PSBLAS User’s Guide for details [20].

    -

    -

    5.9.2 Method: clone
    -
    -

    -

    call p%clone(pout,info)
    -

    - - - -

    Create a (deep) copy of the preconditioner object. -

    Arguments -

    - - - -

    pout

    type(amg_xprec_type), intent(out).

    The copy of the preconditioner data structure. Note that x must -be chosen according to the real/complex, single/double precision -version of AMG4PSBLAS under use.

    info

    root

    integer, intent(out).

    Error code. If no error, 0 is returned. See Section 7 for details.

    -

    -

    5.9.3 Method: sizeof
    -
    -

    -

    sz = p%sizeof([global])
    -

    -
    +class="cmr-12">. +class="cmr-12">will be printed; the default is psb_root_.

    global

    logical,in), optional.

    Whether the global or local preconditioner memory occupation is + style="vertical-align:baseline;" id="TBL-16-6-">

    The id of the process where the preconditioner description desired. Default: .false..

    -
    Return memory footprint in bytes. -

    -

    5.9.4 Method: allocate_wrk
    -
    -

    -

    call p%allocate_wrk(info[, vmold])
    -

    -

    Allocate internal work vectors. Each application of the preconditioner uses a number of -work vectors which are allocated internally as necessary; therefore allocation and -deallocation of memory occurs multiple times during the execution of a Krylov method. -In most cases this strategy is perfectly acceptable, but on some platforms, most -notably GPUs, memory allocation is a slow operation, and the default behaviour would -lead to a slowdown. This method allows to trade space for time by preallocating -the internal workspace outside of the invocation of a Krylov method. When - - - -using GPUs or other specialized devices, the vmold argument is also necessary -to ensure the internal work vectors are of the appropriate dynamic type to -exploit the accelerator hardware; when allocation occurs internally this is -taken care of based on the dynamic type of the x argument to the apply -method. -

    Arguments -

    - - +class="cmr-12">. -

    info

    verbosity

    integer, intent(out).

    Error code. If no error, 0 is returned. See Section 7 for details.

    vmold

    class(psb_x_base_vect_type), intent(in), optional.

    The desired dynamic type for internal vector components; this + style="vertical-align:baseline;" id="TBL-16-8-">

    The verbosity level of the description. Default value is 0. For allows e.g. running on GPUs.

    -

    -

    5.9.5 Method: free_wrk
    -
    -

    -

    call p%free_wrk(info)
    -

    -

    Deallocate internal work vectors. -

    Arguments -

    - +class="cmr-12">values higher than 0, it prints out further information, e.g., for +a distributed multilevel preconditioner the size of the coarse +matrices on every process.

    info

    integer, intent(out).

    Error code. If no error, 0 is returned. See Section 7 for details.

    + style="vertical-align:baseline;" id="TBL-16-9-">
    - - - - - - -

    [next] [prev] [] [up]

    -

    +

    diff --git a/docs/html/userhtmlsu16.html b/docs/html/userhtmlsu16.html index 97965c2b..99eaf060 100644 --- a/docs/html/userhtmlsu16.html +++ b/docs/html/userhtmlsu16.html @@ -1,20 +1,17 @@ -Method free +Auxiliary Methods - - + + -

    [next] [prev] [] [tail] [up]

    6.7 Method free

    +class="cmr-12">5.9 Auxiliary Methods +

    Various functionalities are implemented as additional methods of the preconditioner +object. +

    +

    5.9.1 Method: dump
    -

    -

    +

    call p%free(p,info)
    +class="cmtt-12"> p%dump(info[,istart,iend,prefix,head,ac,rp,smoother,solver,global_num])

    -

    This method deallocates the preconditioner data structure p. -

    Dump on file. +

    Arguments -

    - + + + +class="cmr-12">allows e.g. running on GPUs; it needs not be the same on all +processes. See the PSBLAS User’s Guide for details [20].

    info

    integer, intent(out).

    info

    integer, intent(out).

    Error code. If no error, 0 is returned. See Section 8 for +href="userhtmlse7.html#x28-320007">7 for details.

    amold

    class(psb_x_base_sparse_mat), intent(in), optional.

    The desired dynamic type for internal matrix components; this details.

    +

    +

    5.9.2 Method: clone
    +
    +

    +

    call p%clone(pout,info)
    +

    +

    Create a (deep) copy of the preconditioner object. +

    Arguments +

    + + + +

    pout

    type(amg_xprec_type), intent(out).

    The copy of the preconditioner data structure. Note that x must +be chosen according to the real/complex, single/double precision +version of AMG4PSBLAS under use.

    info

    integer, intent(out).

    Error code. If no error, 0 is returned. See Section 7 for details.

    +

    +

    5.9.3 Method: sizeof
    +
    +

    +

    sz = p%sizeof([global])
    +

    +
    + +

    global

    logical, optional.

    Whether the global or local preconditioner memory occupation is +desired. Default: .false..

    +
    Return memory footprint in bytes. +

    +

    5.9.4 Method: allocate_wrk
    +
    +

    +

    call p%allocate_wrk(info[, vmold])
    +

    +

    Allocate internal work vectors. Each application of the preconditioner uses a number of +work vectors which are allocated internally as necessary; therefore allocation and +deallocation of memory occurs multiple times during the execution of a Krylov method. +In most cases this strategy is perfectly acceptable, but on some platforms, most +notably GPUs, memory allocation is a slow operation, and the default behaviour would +lead to a slowdown. This method allows to trade space for time by preallocating +the internal workspace outside of the invocation of a Krylov method. When -

    using GPUs or other specialized devices, the vmold argument is also necessary +to ensure the internal work vectors are of the appropriate dynamic type to +exploit the accelerator hardware; when allocation occurs internally this is +taken care of based on the dynamic type of the x argument to the apply +method. +

    Arguments +

    + + + +

    info

    integer, intent(out).

    Error code. If no error, 0 is returned. See Section 7 for details.

    vmold

    class(psb_x_base_vect_type), intent(in), optional.

    The desired dynamic type for internal vector components; this +allows e.g. running on GPUs.

    +

    +

    5.9.5 Method: free_wrk
    +
    +

    +

    call p%free_wrk(info)
    +

    +

    Deallocate internal work vectors. +

    Arguments +

    + +

    info

    integer, intent(out).

    Error code. If no error, 0 is returned. See Section 7 for details.

    + + + + + + + + + +

    [next] [prev] [] [front] [up]

    -

    +

    diff --git a/docs/html/userhtmlsu2.html b/docs/html/userhtmlsu2.html index 4a2ae192..e73a0092 100644 --- a/docs/html/userhtmlsu2.html +++ b/docs/html/userhtmlsu2.html @@ -3,14 +3,14 @@ Optional third party libraries - - + + -

    [next]

    class="cmr-12">3.2 Optional third party libraries -

    We provide interfaces to the following third-party software libraries; note that these are optional, but if you enable them some defaults for multilevel preconditioners may change to reflect their presence. -

    +

    UMFPACK
    .
    -

    [next] [up]

    -

    diff --git a/docs/html/userhtmlsu3.html b/docs/html/userhtmlsu3.html index 51d8fdca..571c0588 100644 --- a/docs/html/userhtmlsu3.html +++ b/docs/html/userhtmlsu3.html @@ -3,14 +3,14 @@ Configuration options - - + + -

    [next]

    class="cmr-12">3.3 Configuration options -

    In order to build AMG4PSBLAS, the first step is to use the configure script in the main directory to generate the necessary makefile. -

    As a minimal example consider the following: -

    + 
     ./configure --with-psblas=PSB-INSTALL-DIR
-
    -

    +

    which assumes that the various MPI compilers and support libraries are available in the standard directories on the system, and specifies only the PSBLAS install directory @@ -59,7 +59,7 @@ class="cmtt-12">./configure --help, which produces:

    +class="cmr-12">produces:
     ‘--prefix=$HOME$HOME’. 
    issues>.
    -

    For instance, if a user has built and installed PSBLAS 3.7 under the /opt directory and is @@ -4246,11 +4247,11 @@ class="cmr-12">might be configured with: -

    + 
     ./configure --with-psblas=/opt/psblas-3.7/ \
- 
    --with-umfpackincdir=/usr/include/suitesparse/
-
    -

    +

    Once the configure script has completed execution, it will have generated the file Make.inc which will then be used by all Makefiles in the directory tree; t class="cmr-12">copied in the install directory under the name Make.inc.AMG4PSBLAS. -

    To use the MUMPS solver package, the user has to add the appropriate options to the configure script; by default we are looking for the libraries --with-extra-libs configure option. -

    To build the library the user will now enter -

    + 
     make
-
    -

    +

    followed (optionally) by -

    + 
     make install
-
    -

    + +

    -

    [next] [up]

    -

    diff --git a/docs/html/userhtmlsu4.html b/docs/html/userhtmlsu4.html index 6c25a03f..3d45cd22 100644 --- a/docs/html/userhtmlsu4.html +++ b/docs/html/userhtmlsu4.html @@ -3,14 +3,14 @@ Bug reporting - - + + -

    [next]

    class="cmr-12">3.4 Bug reporting -

    If you find any bugs in our codes, please report them through our issues page on
    https://github.com/psctoolkit/amg4psblas/issues
    -

    To enable us to track the bug, please provide a log from the failing application, the test conditions, and ideally a self-contained test program reproducing the @@ -48,7 +48,7 @@ class="cmr-12">issue. -

    [next] [up]

    -

    diff --git a/docs/html/userhtmlsu5.html b/docs/html/userhtmlsu5.html index 4c6aecdd..bbbed858 100644 --- a/docs/html/userhtmlsu5.html +++ b/docs/html/userhtmlsu5.html @@ -3,14 +3,14 @@ Example and test programs - - + + -

    [prev]

    class="cmr-12">3.5 Example and test programs -

    The package contains the examples and runs subdirectories, to experiment with the full range of preconditioners implemented in the package. -

    The fileread directories contain sample programs that read sparse matrices from files, diff --git a/docs/html/userhtmlsu6.html b/docs/html/userhtmlsu6.html index 6adab472..c0eb1e37 100644 --- a/docs/html/userhtmlsu6.html +++ b/docs/html/userhtmlsu6.html @@ -3,8 +3,8 @@ Examples - - + + @@ -12,6 +12,9 @@ >

    [next] [tail] [].

    The setup and application of the default multilevel preconditioner for the real single -precision and the complex, single and double precision, versions are obtained +precision and the complex, single and double precision, versions are obtained with straightforward modifications of the previous example (see Section 5 for . -

    +
       use psb_base_mod
- 
      use amg_prec_mod
- 
      use psb_krylov_mod
- 
    ... ...
- 
    !
- 
    ! sparse matrix
- 
      type(psb_dspmat_type) :: A
- 
    ! sparse matrix descriptor
- 
      type(psb_desc_type)   :: desc_A
- 
    ! preconditioner
- 
      type(amg_dprec_type)  :: P
- 
    ! right-hand side and solution vectors
- 
      type(psb_d_vect_type) :: b, x
- 
    ... ...
- 
    !
- 
    ! initialize the parallel environment
- 
      call psb_init(ctxt)
- 
      call psb_info(ctxt,iam,np)
- 
    ... ...
- 
    !
- 
    ! read and assemble the spd matrix A and the right-hand side b
- 
    ! using PSBLAS routines for sparse matrix / vector management
- 
    ... ...
- 
    !
- 
    ! initialize the default multilevel preconditioner, i.e. V-cycle
- 
    ! with basic smoothed aggregation, 1 hybrid forward/backward
- 
    ! GS sweep as pre/post-smoother and UMFPACK as coarsest-level
- 
    ! solver
- 
      call P%init(’ML’,info)
- 
    !
- 
    ! build the preconditioner
- 
      call P%hierarchy_build(A,desc_A,info)
- 
      call P%smoothers_build(A,desc_A,info)
- 
    
- 
    !
- 
    ! set the solver parameters and the initial guess
- 
      ... ...
- 
    !
- 
    ! solve Ax=b with preconditioned CG
- 
      call psb_krylov(’CG’,A,P,b,x,tol,desc_A,info)
- 
      ... ...
- 
    !
- 
    ! deallocate the preconditioner
- 
      call P%free(info)
- 
    !
- 
    ! deallocate other data structures
- 
      ... ...
- 
    !
- 
    ! exit the parallel environment
- 
      call psb_exit(ctxt)
- 
      stop
-
    +  use amg_prec_mod +  use psb_krylov_mod +... ... +! +! sparse matrix +  type(psb_dspmat_type) :: A +! sparse matrix descriptor +  type(psb_desc_type)   :: desc_A +! preconditioner +  type(amg_dprec_type)  :: P +! right-hand side and solution vectors +  type(psb_d_vect_type) :: b, x +... ... +! +! initialize the parallel environment +  call psb_init(ctxt) +  call psb_info(ctxt,iam,np) +... ... +! +! read and assemble the spd matrix A and the right-hand side b +! using PSBLAS routines for sparse matrix / vector management +... ... +! +! initialize the default multilevel preconditioner, i.e. V-cycle +! with basic smoothed aggregation, 1 hybrid forward/backward +! GS sweep as pre/post-smoother and UMFPACK as coarsest-level +! solver +  call P%init(’ML’,info) +! +! build the preconditioner +  call P%hierarchy_build(A,desc_A,info) +  call P%smoothers_build(A,desc_A,info) +! +! set the solver parameters and the initial guess +  ... ... +! +! solve Ax=b with preconditioned CG +  call psb_krylov(’CG’,A,P,b,x,tol,desc_A,info) +  ... ... +! +! deallocate the preconditioner +  call P%free(info) +! +! deallocate other data structures +  ... ... +! +! exit the parallel environment +  call psb_exit(ctxt) +  stop +

    @@ -289,19 +291,19 @@ class="cmr-12">.

    -

    +
     ... ...
- 
    ! build a V-cycle preconditioner with 1 block-Jacobi sweep (with
- 
    ! ILU(0) on the blocks) as pre- and post-smoother, and 8  block-Jacobi
- 
    ! sweeps (with ILU(0) on the blocks) as coarsest-level solver
- 
      call P%init(’ML’,info)
- 
      call P%set(’SMOOTHER_TYPE’,’BJAC’,info)
- 
      call P%set(’COARSE_SOLVE’,’BJAC’,info)
- 
      call P%set(’COARSE_SWEEPS’,8,info)
- 
      call P%hierarchy_build(A,desc_A,info)
- 
      call P%smoothers_build(A,desc_A,info)
- 
    ... ...
-
    +! build a V-cycle preconditioner with 1 block-Jacobi sweep (with +! ILU(0) on the blocks) as pre- and post-smoother, and 8  block-Jacobi +! sweeps (with ILU(0) on the blocks) as coarsest-level solver +  call P%init(’ML’,info) +  call P%set(’SMOOTHER_TYPE’,’BJAC’,info) +  call P%set(’COARSE_SOLVE’,’BJAC’,info) +  call P%set(’COARSE_SWEEPS’,8,info) +  call P%hierarchy_build(A,desc_A,info) +  call P%smoothers_build(A,desc_A,info) +... ... +


    Listing 2: setup of a multilevel preconditioner based on the default decoup

    -

    +
     ... ...
- 
    ! build a W-cycle preconditioner with 2 hybrid Gauss-Seidel sweeps
- 
    ! as pre- and post-smoother, a distributed coarsest
- 
    ! matrix, and MUMPS as coarsest-level solver
- 
      call P%init(’ML’,info)
- 
      call P%set(’PAR_AGGR_ALG’,’COUPLED’,info)
- 
    call P%set(’AGGR_TYPE’,’MATCHBOXP’,info)
- 
    call P%set(’AGGR_SIZE’,8,info)
- 
      call P%set(’ML_CYCLE’,’WCYCLE’,info)
- 
      call P%set(’SMOOTHER_TYPE’,’FBGS’,info)
- 
      call P%set(’SMOOTHER_SWEEPS’,2,info)
- 
      call P%set(’COARSE_SOLVE’,’KRM’,info)
- 
      call P%hierarchy_build(A,desc_A,info)
- 
      call P%smoothers_build(A,desc_A,info)
- 
    ... ...
-
    +! build a W-cycle preconditioner with 2 hybrid Gauss-Seidel sweeps +! as pre- and post-smoother, a distributed coarsest +! matrix, and MUMPS as coarsest-level solver +  call P%init(’ML’,info) +  call P%set(’PAR_AGGR_ALG’,’COUPLED’,info) +call P%set(’AGGR_TYPE’,’MATCHBOXP’,info) +call P%set(’AGGR_SIZE’,8,info) +  call P%set(’ML_CYCLE’,’WCYCLE’,info) +  call P%set(’SMOOTHER_TYPE’,’FBGS’,info) +  call P%set(’SMOOTHER_SWEEPS’,2,info) +  call P%set(’COARSE_SOLVE’,’KRM’,info) +  call P%hierarchy_build(A,desc_A,info) +  call P%smoothers_build(A,desc_A,info) +... ... +


    Listing 3:

    -

    +
     ... ...
- 
    ! set RAS with overlap 2 and ILU(0) on the local blocks
- 
      call P%init(’AS’,info)
- 
      call P%set(’SUB_OVR’,2,info)
- 
      call P%bld(A,desc_A,info)
- 
    ... ...
- 
    ! solve Ax=b with preconditioned BiCGSTAB
- 
      call psb_krylov(’BICGSTAB’,A,P,b,x,tol,desc_A,info)
-
    +! set RAS with overlap 2 and ILU(0) on the local blocks +  call P%init(’AS’,info) +  call P%set(’SUB_OVR’,2,info) +  call P%bld(A,desc_A,info) +... ... +! solve Ax=b with preconditioned BiCGSTAB +  call psb_krylov(’BICGSTAB’,A,P,b,x,tol,desc_A,info) +


    Listing 4: setup of a one-level Schwarz preconditioner.

    [next] [front] [up]

    -

    diff --git a/docs/html/userhtmlsu7.html b/docs/html/userhtmlsu7.html index 828ca2bd..93848cfa 100644 --- a/docs/html/userhtmlsu7.html +++ b/docs/html/userhtmlsu7.html @@ -1,148 +1,90 @@ -Method init +GPU example - - + + -

    [nextprev] [prev-tail] [tail] [up]

    5.1 Method init

    +class="cmr-12">4.2 GPU example +

    The code reported in Figure 5 shows how to set up a program exploiting the combined +GPU capabilities of PSBLAS and AMG4PSBLAS. + + + +

    + + +
    -

    -

    call p%init(contxt,ptype,info)

    -

    This method allocates and initializes the preconditioner p, according to the -preconditioner type chosen by the user. -

    Arguments -

    - - - - - -

    contxt

    type(psb_ctxt_type), intent(in).

    The communication context.

    ptype

    character(len=*), intent(in) .

    The type of preconditioner. Its values are specified in Table 1.

    Note that strings are case insensitive.

    info

    integer, intent(out).

    Error code. If no error, 0 is returned. See Section 7 for details.

    +

    +

    +! build a one-level RAS with overlap 2 and ILU(0) on the local blocks.
+call P%init(’AS’,info)
+call P%set(’SUB_OVR’,2,info)
+call P%build(A,desc_A,info)
+... ...
+! solve Ax=b with preconditioned BiCGSTAB
+  call psb_krylov(’BICGSTAB’,A,P,b,x,tol,desc_A,info)
+
    +

    +
    Listing 5: setup of a one-level Schwarz preconditioner.
    +
    -

    [nextprev] [prev-tail] [front] [up]

    -

    diff --git a/docs/html/userhtmlsu8.html b/docs/html/userhtmlsu8.html index 83ccf1fd..11ce3ca9 100644 --- a/docs/html/userhtmlsu8.html +++ b/docs/html/userhtmlsu8.html @@ -1,26 +1,20 @@ -Method set +Method init - - + + -

    [next] [prev] [prev-tail] [tail] [up]

    5.2 Method set

    +class="cmr-12">5.1 Method init
    -

    -

    +

    call p%setinit(whatcontxt,valptype,info [,ilev, ilmax, pos, idx])

    -

    This method sets the parameters defining the preconditioner )

    +

    This method allocates and initializes the preconditioner p. More precisely, the +class="cmr-12">, according to the parameter identified by what is assigned the value contained in val. -

    preconditioner type chosen by the user. +

    Arguments - - - -

    - - - - - - - - - - + - +class="cmtt-12">). + + +class="cmr-12">. -

    what

    character(len=*).

    The parameter to be set. It can be specified through its name; the -string is case-insensitive. See Tables 2-8.

    val 

    integer or character(len=*) or real(psb_spk_) or -real(psb_dpk_), intent(in).

    The value of the parameter to be set. The list of allowed values and -the corresponding data types is given in Tables 2-8. When the value -is of type character(len=*), it is also treated as case insensitive.

    info

    integer, intent(out).

    Error code. If no error, 0 is returned. See Section 7 for details.

    ilev

    integer, optional, intent

    contxt

    type(in).

    For the multilevel preconditioner, the level at which the -preconditioner parameter has to be set. The levels are numbered -in increasing order starting from the finest one, i.e., level 1 is the -finest level. If ilev is not present, the parameter identified by what -is set at all levels that are appropriate (see Tables 2-8).

    ilmax

    integer, optional,psb_ctxt_type), intent(in).

    For the multilevel preconditioner, when both ilev and ilmax are -present, the settings are applied at all levels ilev:ilmax. When -ilev is present but ilmax is not, then the default is ilmax=ilev. -The levels are numbered in increasing order starting from the finest -one, i.e., level 1 is the finest level.

    pos

    .

    The communication context.

    ptype

    character(len=*), optional, intent(in).

    Whether the other arguments apply only to the pre-smoother -(’PRE’) or to the post-smoother (’POST’). If pos is not present, -the other arguments are applied to both smoothers. If the -preconditioner is one-level or the parameter identified by what does -not concern the smoothers, pos is ignored.

    idx

    The type of preconditioner. Its values are specified in Table 1.

    Note that strings are case insensitive.

    info

    integer, optional, intent(inout).

    An auxiliary input argument that can be passed to the underlying -objects.

    -

    -

    A variety of preconditioners can be obtained by setting the appropriate -preconditioner parameters. These parameters can be logically divided into four groups, -i.e., parameters defining -

      -
    1. the type of multilevel cycle and how many cycles must be applied; -
      2. -
    2. the coarsening algorithm; -
      3. -
    3. the solver at the coarsest level (for multilevel preconditioners only); -
      4. -
    4. the smoother of the multilevel preconditioners, or the one-level - - - - preconditioner.
    -

    A list of the parameters that can be set, along with their allowed and default values, is -given in Tables 2-8.
    -

    Remark 2. A smoother is usually obtained by combining two objects: a -smoother (’SMOOTHER_TYPE’) and a local solver (’SUB_SOLVE’), as specified in -Tables 7-8. For example, the block-Jacobi smoother using ILU(0) on the blocks is -obtained by combining the block-Jacobi smoother object with the ILU(0) solver -object. Similarly, the hybrid Gauss-Seidel smoother (see Note in Table 7) is -obtained by combining the block-Jacobi smoother object with a single sweep of -the Gauss-Seidel solver object, while the point-Jacobi smoother is the result -of combining the block-Jacobi smoother object with a single sweep of the -point-Jacobi solver object. In the same way are obtained the ℓ1-versions of the -smoothers. However, for simplicity, shortcuts are provided to set all versions of -point-Jacobi, hybrid (forward) Gauss-Seidel, and hybrid backward Gauss-Seidel, i.e., -the previous smoothers can be defined just by setting ’SMOOTHER_TYPE’ to -certain specific values (see Tables 7), without the need to set ’SUB_SOLVE’ as -well. -

    The smoother and solver objects are arranged in a hierarchical manner. When -specifying a smoother object, its parameters, including the local solver, are set to -their default values, and when a solver object is specified, its defaults are also -set, overriding in both cases any previous settings even if explicitly specified. -Therefore if the user sets a smoother, and wishes to use a solver different from -the default one, the call to set the solver must come after the call to set the -smoother. -

    Similar considerations apply to the point-Jacobi, Gauss-Seidel and block-Jacobi -coarsest-level solvers, and shortcuts are available in this case too (see Table 5). -
    -

    Remark 3. Many of the coarsest-level solvers cannot be used with both replicated -and distributed coarsest-matrix layouts; therefore, setting the solver after the layout -may change the layout. Similarly, setting the layout after the solver may change the -solver. -

    More precisely, UMFPACK and SuperLU require the coarsest-level matrix to be -replicated, while SuperLU_Dist and KRM require it to be distributed. In these cases, -setting the coarsest-level solver implies that the layout is redefined according to the -solver, ovverriding any previous settings. MUMPS, point-Jacobi, hybrid Gauss-Seidel -and block-Jacobi can be applied to replicated and distributed matrices, thus their -choice does not modify any previously specified layout. It is worth noting that, when -the matrix is replicated, the point-Jacobi, hybrid Gauss-Seidel and block-Jacobi solvers -and their ℓ1- versions reduce to the corresponding local solver objects (see Remark 2). -For the point-Jacobi and Gauss-Seidel solvers, these objects correspond to a single - - - -point-Jacobi sweep and a single Gauss-Seidel sweep, respectively, which are very poor -solvers. -

    On the other hand, the distributed layout can be used with any solver but -UMFPACK and SuperLU; therefore, if any of these two solvers has already been -selected, the coarsest-level solver is changed to block-Jacobi, with the previously chosen -solver applied to the local blocks. Likewise, the replicated layout can be used with any -solver but SuperLu_Dist and KRM; therefore, if SuperLu_Dist or KRM have been -previously set, the coarsest-level solver is changed to the default sequential -solver. -

    Remark 4. The argument idx can be used to allow finer control for those solvers; -for instance, by specifying the keyword ’MUMPS_IPAR_ENTRY’ and an appropriate value -for idx, it is possible to set any entry in the MUMPS integer control array. See also -Sec.

    Error code. If no error, 0 is returned. See Section 6. -

    - - - -

    - - - -
    -

    -

    - -

    what

    		data type

    val

    default

    comments

    ’ML_CYCLE’

    character(len=*)

    ’VCYCLE’ -

    ’WCYCLE’ -

    ’KCYCLE’ -

    ’ADD’

    ’VCYCLE’

    Multilevel cycle: V-cycle, W-cycle, K-cycle, -and additive composition.

    ’CYCLE_SWEEPS’

    integer

    Any integer -

    number ≥ 1

    1

    Number of multilevel cycles.

    -
    Table 2: Parameters defining the multilevel cycle and the number of cycles to be -applied.
    - - - -
    -
    -
    - - - -

    - - - -
    -

    - - - -

    - - - - - - - -
    Note. The aggregation algorithm stops when at least one of the following criteria is met: the coarse size threshold,
    -
    the minimum coarsening ratio, or the maximum number of levels is reached.
    -
    Therefore, the actual number of levels may be smaller than the specified maximum number of levels.
    -

    what

    		data type

    val

    default

    comments

    ’MIN_COARSE_SIZE_PER_PROCESS’

    integer

    Any number -

    > 0

    200

    Coarse size threshold per process. The -aggregation stops if the global number of -variables of the computed coarsest matrix -is lower than or equal to this threshold -multiplied by the number of processes -(see Note).

    ’MIN_COARSE_SIZE’

    integer

    Any number -

    > 0

    -1

    Coarse size threshold. The aggregation -stops if the global number of variables -of the computed coarsest matrix is lower -than or equal -to this threshold (see Note). If negative, -it is ignored in favour of the default for -’MIN_COARSE_SIZE_PER_PROCESS’.

    ’MIN_CR_RATIO’

    real

    Any number -

    > 1

    1.5

    Minimum coarsening -ratio. The aggregation stops if the ratio -between the global matrix dimensions at -two consecutive levels is lower than or -equal to this threshold (see Note).

    ’MAX_LEVS’

    integer

    Any integer -

    number > 1

    20

    Maximum number of levels. The -aggregation stops if the number of levels -reaches this value (see Note).

    ’PAR_AGGR_ALG’

    character(len=*)

    ’DEC’, -’SYMDEC’, -’COUPLED’

    ’DEC’

    Parallel aggregation algorithm. -

    the SYMDEC option applies decoupled -aggregation to the sparsity pattern of -A + AT .

    ’AGGR_TYPE’

    character(len=*)

    ’SOC1’, -’SOC2’, -’MATCHBOXP’

    ’SOC1’

    Type of aggregation algorithm: currently, -for the -decoupled aggregation we implement two -measures of strength of connection, the -one by Vaněk, Mandel and Brezina [33], -and the one by Gratton et al [23]. The -coupled aggregation is based on a parallel -version of the half-approximate matching -implemented in the MatchBox-P software -package [9].

    ’AGGR_SIZE’

    integer

    Any integer -

    power of 2, -with -aggr_size ≥ -2

    4

    Maximum size of aggregates when the -coupled aggregation based on matching -is applied. For aggressive coarsening -with size of aggregate larger than 8 -we recommend the use of smoothed -prolongators. Used only with ’COUPLED’ -and ’MATCHBOXP’

    ’AGGR_PROL’

    character(len=*)

    ’SMOOTHED’, -’UNSMOOTHED’

    ’SMOOTHED’

    Prolongator used by the aggregation -algorithm: smoothed or unsmoothed (i.e., -tentative prolongator).

    - - - -
    -
    Table 3: Parameters defining the aggregation algorithm.
    -
    - - - -
    -
    -
    - - - -

    - - - -
    -

    -

    - - -
    Note. Different thresholds at different levels, such as those used in [33, Section 5.1], can be easily set by invoking the rou-
    -
    tine set with the parameter ilev.
    -

    what

    		data type

    val

    default

    comments

    ’AGGR_ORD’

    character(len=*)

    ’NATURAL’ -

    ’DEGREE’

    ’NATURAL’

    Initial ordering of indices for -the decoupled aggregation algorithm: -either natural ordering or sorted by -descending degrees of the nodes in the -matrix graph.

    ’AGGR_THRESH’

    real(kind_parameter)

    Any real -

    number ∈ -[0,1]

    0.01

    The threshold θ in the strength of -connection algorithm. See also the note -at the bottom of this table.

    ’AGGR_FILTER’

    character(len=*)

    ’FILTER’ -

    ’NOFILTER’

    ’NOFILTER’

    Matrix used in computing the smoothed -prolongator: filtered or unfiltered.

    -
    Table 4: Parameters defining the aggregation algorithm (continued).
    - - - -
    -
    -
    - - - -

    - - - -
    -

    - - - -

    - - -
    Note. Defaults for COARSE_SOLVE and COARSE_SUBSOLVE are chosen in the following order:
    -
    single precision version – MUMPS if installed, then SLU if installed, ILU otherwise;
    -
    double precision version – UMF if installed, then MUMPS if installed, then SLU if installed, ILU otherwise.
    - - - - -
    Note. Further options for coarse solvers are contained in Table 6.
    +href="userhtmlse7.html#x28-320007">7for details.
    For a first use it is suggested to use the default options obtained by simply selecting the solver type.
    -

    what

    		data type

    val

    default

    comments

    ’COARSE_MAT’

    character(len=*)

    ’DIST’ -

    ’REPL’

    ’REPL’

    Coarsest matrix layout: distributed among the -processes or replicated on each of them.

    ’COARSE_SOLVE’

    character(len=*)

    ’MUMPS’ -

    ’UMF’ -

    ’SLU’ -

    ’SLUDIST’ -

    ’JACOBI’ -

    ’GS’ -

    ’BJAC’ -

    ’KRM’ -’L1-JACOBI’ -

    ’L1-BJAC’ -

    ’L1-FBGS’

    See Note.

    Solver used at the coarsest level: sequential -LU from MUMPS, UMFPACK, or SuperLU -(plus triangular solve); distributed LU from -MUMPS or SuperLU_Dist (plus triangular solve); -point-Jacobi, hybrid Gauss-Seidel or block-Jacobi -and related ℓ1-versions; Krylov Method (flexible -Conjugate Gradient) coupled with the block-Jacobi -preconditioner with ILU(0) on the blocks. Note -that UMF and SLU require the coarsest matrix to -be replicated, SLUDIST, JACOBI, GS, BJAC and KRM -require it to be distributed, MUMPS can be used with -either a replicated or a distributed matrix. When -any of the previous solvers is specified, the matrix -layout is set to a default value which allows the use -of the solver (see Remark 3, p. 24). Note also that -UMFPACK and SuperLU_Dist are available only in -double precision.

    ’COARSE_SUBSOLVE’

    character(len=*)

    ’ILU’ -

    ’ILUT’ -

    ’MILU’ -

    ’MUMPS’ -

    ’SLU’ -

    ’UMF’ -

    ’INVT’ -

    ’INVK’ -

    ’AINV’

    See Note.

    Solver for the diagonal blocks of the coarsest -matrix, in case the block Jacobi solver is chosen -as coarsest-level solver: ILU(p), ILU(p,t), MILU(p), -LU from MUMPS, SuperLU or UMFPACK -(plus triangular solve), Approximate Inverses -INVK(p,q), INVT(p1,p2,t1,t2) and AINV(t); note -that approximate inverses are specifically suited -for GPUs since they do not employ triangular -system solve kernels, see [3]. Note that UMFPACK -and SuperLU_Dist are available only in double -precision.

    what

    		data type

    val

    default

    comments

    ’COARSE_SWEEPS’

    integer

    Any -integer -

    number > -0

    10

    Number of sweeps when JACOBI, GS or BJAC is -chosen as coarsest-level solver.

    ’COARSE_FILLIN’

    integer

    Any -integer -

    number ≥ -0

    0

    Fill-in level p of the ILU factorizations and first -fill-in for the approximate inverses.

    ’COARSE_ILUTHRS’

    real(kind_parameter)

    Any real -

    number ≥ -0

    0

    Drop tolerance t in the ILU(p,t) factorization and -first drop-tolerance for the approximate inverses.

    - - - -
    -
    Table 5: Parameters defining the solver at the coarsest level (continued).
    + style="vertical-align:baseline;" id="TBL-2-8-">
    -
    -
    -
    -

    - - - -
    -

    - - - -

    - - - - - - - - - - - - - - -

    what

    		data type

    val

    default

    comments

    ’BJAC_STOP’

    character(len=*)

    ’FALSE’ -

    ’TRUE’

    ’FALSE’

    Select whether to use a stopping criterion for -the Block-Jacobi method used as a coarse -solver.

    ’BJAC_TRACE’

    character(len=*)

    ’FALSE’ -

    ’TRUE’

    ’FALSE’

    Select whether to print a trace for the -calculated residual for the Block-Jacobi -method used as a coarse solver.

    ’BJAC_ITRACE’

    integer

    Any integer -

    > 0

    -1

    Number of iterations after which a trace is to -be printed.

    ’BJAC_RESCHECK’

    integer

    Any integer -

    > 0

    -1

    Number of iterations after which a residual is -to be calculated.

    ’BJAC_STOPTOL’

    real(kind_parameter)

    Any real -

    < 1

    0

    Tolerance for the stopping criterion on the -residual.

    ’KRM_METHOD’

    character(len=*)

    ’CG’ -

    ’FCG’ -

    ’CGS’ -

    ’CGR’ -

    ’BICG’ -

    ’BICGSTAB’ -

    ’BICGSTABL’ -

    ’RGMRES’

    ’FCG’

    A string that defines the iterative method to -be used when employing a Krylov method -’KRM’ as a coarse solver. CG the Conjugate -Gradient method; FCG the Flexible Conjugate -Gradient method; CGS the Conjugate Gradient -Stabilized -method; GCR the Generalized Conjugate -Residual method; FCG the Flexible Conjugate -Gradient method; BICG the Bi-Conjugate -Gradient method; BICGSTAB the Bi-Conjugate -Gradient Stabilized method; BICGSTABL the -Bi-Conjugate Gradient Stabilized method -with restarting; RGMRES the Generalized -Minimal Residual method with restarting. -Refer to the PSBLAS guide [20] for further -information.

    ’KRM_KPREC’

    character(len=*)

    Table 1

    ’BJAC’

    The one-level -preconditioners from the Table 1 can be used -for the coarse Krylov solver.

    ’KRM_SUB_SOLVE’

    character(len=*)

    Table 5

    ’ILU’

    Solver for the diagonal blocks of the coarsest -matrix preconditioner, in case the block Jacobi -solver is chosen -as ’KRM_KPREC’: ILU(p), ILU(p,t), MILU(p), -LU from MUMPS, SuperLU or UMFPACK -(plus triangular solve), Approximate Inverses -INVK(p,q), INVT(p1,p2,t1,t2) and AINV(t); -The same caveat from Table 5 applies here.

    ’KRM_GLOBAL’

    character(len=*)

    ’TRUE’, -’FALSE’

    ’FALSE’

    Choose between a global Krylov solver, all -unknowns on a single node, or a distributed -one. The default choice is the distributed -solver.

    ’KRM_EPS’

    real(kind_parameter)

    Real < 1

    10-6

    The stopping tolerance.

    ’KRM_IRST’

    integer

    Integer -

    ≥ 1

    30

    An integer specifying the restart parameter. -This is employed for the BiCGSTABL or RGMRES -methods, otherwise it is ignored.

    ’KRM_ISTOPC’

    integer

    Integers -1,2,3

    2

    If 1 then the method uses the normwise -backward error in the infinity norm; if 2, the -it uses the relative residual in the 2-norm; if 3 -the relative residual reduction in the 2-norm is -used instead; refer to the PSBLAS [20] guide -for the details.

    ’KRM_ITMAX’

    integer

    Integer -

    ≥ 1

    40

    The maximum number of iterations to -perform.

    ’KRM_ITRACE’

    integer

    Integer -

    ≥ 0

    -1

    If > 0 print out -an informational message about convergence -every ’KRM_ITRACE’ iterations. If = 0 print a -message in case of convergence failure.

    ’KRM_FILLIN’

    integer

    Integer -

    ≥ 0

    0

    Fill-in level p of the ILU factorizations and -first fill-in for the approximate inverses.

    - - -
    -
    Table 6: Additional parameters defining the solver at the coarsest level.
    - - - -
    -
    -
    - - - -

    - - - -
    -

    -

    - - - -

    what

    		data type

    val

    default

    comments

    ’SMOOTHER_TYPE’

    character(len=*)

    ’JACOBI’ -

    ’GS’ -

    ’BGS’ -

    ’BJAC’ -

    ’AS’ -

    ’L1-JACOBI’ -

    ’L1-BJAC’ -

    ’L1-FBGS’

    ’FBGS’

    Type of smoother used in the multilevel -preconditioner: point-Jacobi, hybrid -(forward) Gauss-Seidel, hybrid backward -Gauss-Seidel, block-Jacobi, ℓ1-Jacobi, -ℓ1–hybrid (forward) Gauss-Seidel, -ℓ1-point-Jacobi and Additive Schwarz. -

    It is ignored by one-level preconditioners.

    ’SUB_SOLVE’

    character(len=*)

    ’JACOBI’ -’GS’ -

    ’BGS’ -

    ’ILU’ -

    ’ILUT’ -

    ’MILU’ -

    ’MUMPS’ -

    ’SLU’ -

    ’UMF’ -

    ’INVT’ -

    ’INVK’ -

    ’AINV’

    GS and BGS for pre- -and post-smoothers of -multilevel -preconditioners, -respectively -

    ILU for block-Jacobi -and Additive Schwarz -one-level -preconditioners

    The local solver to be used with the -smoother or one-level preconditioner (see -Remark 2, page 24): point-Jacobi, hybrid -(forward) Gauss-Seidel, hybrid backward -Gauss-Seidel, ILU(p), ILU(p,t), MILU(p), -LU from MUMPS, -SuperLU or UMFPACK (plus triangular -solve), Approximate Inverses INVK(p,q), -INVT(p1,p2,t1,t2) and AINV(t); note -that approximate inverses are specifically -suited for GPUs since they do not employ -triangular system solve kernels, see [3]. See -Note for details on hybrid Gauss-Seidel.

    ’SMOOTHER_SWEEPS’

    integer

    Any integer -

    number ≥ 0

    1

    Number of sweeps of the smoother or -one-level preconditioner. In the multilevel -case, no pre-smother or post-smoother -is used if this parameter is set to 0 -together with pos=’PRE’ or pos=’POST’, -respectively.

    ’SUB_OVR’

    integer

    Any integer -

    number ≥ 0

    1

    Number of overlap layers, for Additive -Schwarz only.

    -
    Table 7: Parameters defining the smoother or the details of the one-level -preconditioner.
    - - - -
    -
    -
    - - - -

    - - - -
    -

    -

    - - - - - - -

    what

    		data type

    val

    default

    comments

    ’SUB_RESTR’

    character(len=*)

    ’HALO’ -

    ’NONE’

    ’HALO’

    Type of restriction operator, for Additive -Schwarz only: HALO for taking into account -the overlap, ’NONE’ for neglecting it. -

    Note that HALO must be chosen for the -classical Addditive Schwarz smoother and -its RAS variant.

    ’SUB_PROL’

    character(len=*)

    ’SUM’ -

    ’NONE’

    ’NONE’

    Type of prolongation operator, for Additive -Schwarz only: ’SUM’ for adding the -contributions from the overlap, ’NONE’ for -neglecting them. -

    Note that ’SUM’ must be chosen for the -classical Additive Schwarz smoother, and -’NONE’ for its RAS variant.

    ’SUB_FILLIN’

    integer

    Any integer -

    number ≥ 0

    0

    Fill-in level p of the incomplete LU -factorizations.

    ’SUB_ILUTHRS’

    real(kind_parameter)

    Any real -number ≥ 0

    0

    Drop tolerance t in the ILU(p,t) -factorization.

    ’MUMPS_LOC_GLOB’

    character(len=*)

    ’LOCAL_SOLVER’ -

    ’GLOBAL_SOLVER’

    ’GLOBAL_SOLVER’

    Whether MUMPS should be used as a -distributed solver, or as a serial solver acting -only on the part of the matrix local to each -process.

    ’MUMPS_IPAR_ENTRY’

    integer

    Any integer -number

    0

    Set an entry in the MUMPS integer control -array, as chosen via the idx optional -argument.

    ’MUMPS_RPAR_ENTRY’

    real

    Any real number

    0

    Set an entry in the MUMPS real control -array, as chosen via the idx optional -argument.

    -
    Table 8: Parameters defining the smoother or the details of the one-level preconditioner -(continued).
    - - - -
    -
    - - - - - - -

    [next] [prev] [prev-tail] [front] [up]

    -

    diff --git a/docs/html/userhtmlsu9.html b/docs/html/userhtmlsu9.html index 5da8538c..17335fac 100644 --- a/docs/html/userhtmlsu9.html +++ b/docs/html/userhtmlsu9.html @@ -1,16 +1,16 @@ -Method hierarchy_build +Method set - - + + -

    [nextup]

    5.3 Method hierarchy_build

    +class="cmr-12">5.2 Method set
    -

    -

    +

    call p%hierarchy_buildset(awhat,desc_aval,info)
    -

    -

    This method builds the hierarchy of matrices and restriction/prolongation operators for -the multilevel preconditioner  [,ilev, ilmax, pos, idx])

    +

    This method sets the parameters defining the preconditioner p, according to the requirements made by the user +class="cmr-12">. More precisely, the through the methods init and setparameter identified by what is assigned the value contained in val. -

    Arguments -

    + + + + + + +class="cmr-12">. + + - + +class="cmr-12">. - + +class="cmr-12">. +

    a

    type

    what

    character(len=*).

    The parameter to be set. It can be specified through its name; the +string is case-insensitive. See Tables 2-8.

    val 

    integer or character(len=*) or real(psb_spk_) or +real(psb_xspmat_type),psb_dpk_), intent(in).

    The value of the parameter to be set. The list of allowed values and +the corresponding data types is given in Tables 2-8. When the value +is of type character(len=*), it is also treated as case insensitive.

    info

    integer, intent(out).

    Error code. If no error, 0 is returned. See Section 7 for details.

    ilev

    integer, optional, intent(in).

    The sparse matrix structure containing the local part of the matrix + style="vertical-align:baseline;" id="TBL-3-8-">

    For the multilevel preconditioner, the level at which the +preconditioner parameter has to be set. The levels are numbered to be preconditioned. Note that x must be chosen according to the +class="cmr-12">in increasing order starting from the finest one, i.e., level 1 is the +finest level. If ilev is not present, the parameter identified by what +is set at all levels that are appropriate (see Tables 2-8).

    ilmax

    integer, optional, intent(in).

    For the multilevel preconditioner, when both ilev and ilmax are +present, the settings are applied at all levels ilev:ilmax. When real/complex, single/double precision version of AMG4PSBLAS +class="cmtt-12">ilev is present but ilmax is not, then the default is ilmax=ilev. under use. See the PSBLAS User’s Guide for details [20].

    desc_a

    typeThe levels are numbered in increasing order starting from the finest +one, i.e., level 1 is the finest level.

    pos

    character(psb_desc_type),len=*), optional, intent(in).

    The communication descriptor of a. See the PSBLAS User’s Guide + style="vertical-align:baseline;" id="TBL-3-12-">

    Whether the other arguments apply only to the pre-smoother for details [20].

    info

    (’PRE’) or to the post-smoother (’POST’). If pos is not present, +the other arguments are applied to both smoothers. If the +preconditioner is one-level or the parameter identified by what does +not concern the smoothers, pos is ignored.

    idx

    integer, optional, intent(outin).

    Error code. If no error, 0 is returned. See Section

    An auxiliary input argument that can be passed to the underlying +objects.

    +

    +

    A variety of preconditioners can be obtained by setting the appropriate +preconditioner parameters. These parameters can be logically divided into four groups, +i.e., parameters defining +

      +
    1. the type of multilevel cycle and how many cycles must be applied; +
      2. +
    2. the coarsening algorithm; +
      3. +
    3. the solver at the coarsest level (for multilevel preconditioners only); +
      4. +
    4. the smoother of the multilevel preconditioners, or the one-level + + + + preconditioner.
    +

    A list of the parameters that can be set, along with their allowed and default values, is +given in Tables 7 for details. +href="#x19-18009r2">2-8.
    +

    Remark 2. A smoother is usually obtained by combining two objects: a +smoother (’SMOOTHER_TYPE’) and a local solver (’SUB_SOLVE’), as specified in +Tables 7-8. For example, the block-Jacobi smoother using ILU(0) on the blocks is +obtained by combining the block-Jacobi smoother object with the ILU(0) solver +object. Similarly, the hybrid Gauss-Seidel smoother (see Note in Table 7) is +obtained by combining the block-Jacobi smoother object with a single sweep of +the Gauss-Seidel solver object, while the point-Jacobi smoother is the result +of combining the block-Jacobi smoother object with a single sweep of the +point-Jacobi solver object. In the same way are obtained the ℓ1-versions of the +smoothers. However, for simplicity, shortcuts are provided to set all versions of +point-Jacobi, hybrid (forward) Gauss-Seidel, and hybrid backward Gauss-Seidel, i.e., +the previous smoothers can be defined just by setting ’SMOOTHER_TYPE’ to +certain specific values (see Tables 7), without the need to set ’SUB_SOLVE’ as +well. +

    The smoother and solver objects are arranged in a hierarchical manner. When +specifying a smoother object, its parameters, including the local solver, are set to +their default values, and when a solver object is specified, its defaults are also +set, overriding in both cases any previous settings even if explicitly specified. +Therefore if the user sets a smoother, and wishes to use a solver different from +the default one, the call to set the solver must come after the call to set the +smoother. +

    Similar considerations apply to the point-Jacobi, Gauss-Seidel and block-Jacobi +coarsest-level solvers, and shortcuts are available in this case too (see Table 5). +
    +

    Remark 3. Many of the coarsest-level solvers cannot be used with both replicated +and distributed coarsest-matrix layouts; therefore, setting the solver after the layout +may change the layout. Similarly, setting the layout after the solver may change the +solver. +

    More precisely, UMFPACK and SuperLU require the coarsest-level matrix to be +replicated, while SuperLU_Dist and KRM require it to be distributed. In these cases, +setting the coarsest-level solver implies that the layout is redefined according to the +solver, ovverriding any previous settings. MUMPS, point-Jacobi, hybrid Gauss-Seidel +and block-Jacobi can be applied to replicated and distributed matrices, thus their +choice does not modify any previously specified layout. It is worth noting that, when +the matrix is replicated, the point-Jacobi, hybrid Gauss-Seidel and block-Jacobi solvers +and their ℓ1- versions reduce to the corresponding local solver objects (see Remark 2). +For the point-Jacobi and Gauss-Seidel solvers, these objects correspond to a single + + + +point-Jacobi sweep and a single Gauss-Seidel sweep, respectively, which are very poor +solvers. +

    On the other hand, the distributed layout can be used with any solver but +UMFPACK and SuperLU; therefore, if any of these two solvers has already been +selected, the coarsest-level solver is changed to block-Jacobi, with the previously chosen +solver applied to the local blocks. Likewise, the replicated layout can be used with any +solver but SuperLu_Dist and KRM; therefore, if SuperLu_Dist or KRM have been +previously set, the coarsest-level solver is changed to the default sequential +solver. +

    Remark 4. The argument idx can be used to allow finer control for those solvers; +for instance, by specifying the keyword ’MUMPS_IPAR_ENTRY’ and an appropriate value +for idx, it is possible to set any entry in the MUMPS integer control array. See also +Sec. 6. +

    + + + +

    + + + +
    +

    +

    + +

    what

    		data type

    val

    default

    comments

    ’ML_CYCLE’

    character(len=*)

    ’VCYCLE’ +

    ’WCYCLE’ +

    ’KCYCLE’ +

    ’ADD’

    ’VCYCLE’

    Multilevel cycle: V-cycle, W-cycle, K-cycle, +and additive composition.

    ’CYCLE_SWEEPS’

    integer

    Any integer +

    number ≥ 1

    1

    Number of multilevel cycles.

    +
    Table 2: Parameters defining the multilevel cycle and the number of cycles to be +applied.
    + + + +
    +
    +
    + + + +

    + + + +
    +

    + + + +

    + + + + + + + +
    Note. The aggregation algorithm stops when at least one of the following criteria is met: the coarse size threshold,

    what

    		data type

    val

    default

    comments

    ’MIN_COARSE_SIZE_PER_PROCESS’

    integer

    Any number +

    > 0

    200

    Coarse size threshold per process. The +aggregation stops if the global number of +variables of the computed coarsest matrix +is lower than or equal to this threshold +multiplied by the number of processes +(see Note).

    ’MIN_COARSE_SIZE’

    integer

    Any number +

    > 0

    -1

    Coarse size threshold. The aggregation +stops if the global number of variables +of the computed coarsest matrix is lower +than or equal +to this threshold (see Note). If negative, +it is ignored in favour of the default for +’MIN_COARSE_SIZE_PER_PROCESS’.

    ’MIN_CR_RATIO’

    real

    Any number +

    > 1

    1.5

    Minimum coarsening +ratio. The aggregation stops if the ratio +between the global matrix dimensions at +two consecutive levels is lower than or +equal to this threshold (see Note).

    ’MAX_LEVS’

    integer

    Any integer +

    number > 1

    20

    Maximum number of levels. The +aggregation stops if the number of levels +reaches this value (see Note).

    ’PAR_AGGR_ALG’

    character(len=*)

    ’DEC’, +’SYMDEC’, +’COUPLED’

    ’DEC’

    Parallel aggregation algorithm. +

    the SYMDEC option applies decoupled +aggregation to the sparsity pattern of +A + AT .

    ’AGGR_TYPE’

    character(len=*)

    ’SOC1’, +’SOC2’, +’MATCHBOXP’

    ’SOC1’

    Type of aggregation algorithm: currently, +for the +decoupled aggregation we implement two +measures of strength of connection, the +one by Vaněk, Mandel and Brezina [33], +and the one by Gratton et al [23]. The +coupled aggregation is based on a parallel +version of the half-approximate matching +implemented in the MatchBox-P software +package [9].

    ’AGGR_SIZE’

    integer

    Any integer +

    power of 2, +with +aggr_size ≥ +2

    4

    Maximum size of aggregates when the +coupled aggregation based on matching +is applied. For aggressive coarsening +with size of aggregate larger than 8 +we recommend the use of smoothed +prolongators. Used only with ’COUPLED’ +and ’MATCHBOXP’

    ’AGGR_PROL’

    character(len=*)

    ’SMOOTHED’, +’UNSMOOTHED’

    ’SMOOTHED’

    Prolongator used by the aggregation +algorithm: smoothed or unsmoothed (i.e., +tentative prolongator).

    + style="vertical-align:baseline;" id="TBL-5-11-">
    the minimum coarsening ratio, or the maximum number of levels is reached.
    +
    Therefore, the actual number of levels may be smaller than the specified maximum number of levels.
    +
    + + + +
    +
    Table 3: Parameters defining the aggregation algorithm.
    +
    +
    +
    +
    -

    + + + +
    +

    +

    + + +
    Note. Different thresholds at different levels, such as those used in [33, Section 5.1], can be easily set by invoking the rou-
    +
    tine set with the parameter ilev.
    +

    what

    		data type

    val

    default

    comments

    ’AGGR_ORD’

    character(len=*)

    ’NATURAL’ +

    ’DEGREE’

    ’NATURAL’

    Initial ordering of indices for +the decoupled aggregation algorithm: +either natural ordering or sorted by +descending degrees of the nodes in the +matrix graph.

    ’AGGR_THRESH’

    real(kind_parameter)

    Any real +

    number ∈ +[0,1]

    0.01

    The threshold θ in the strength of +connection algorithm. See also the note +at the bottom of this table.

    ’AGGR_FILTER’

    character(len=*)

    ’FILTER’ +

    ’NOFILTER’

    ’NOFILTER’

    Matrix used in computing the smoothed +prolongator: filtered or unfiltered.

    +
    Table 4: Parameters defining the aggregation algorithm (continued).
    + + + +
    +
    +
    + + + +

    + + + +
    +

    + + + +

    + + +
    Note. Defaults for COARSE_SOLVE and COARSE_SUBSOLVE are chosen in the following order:
    +
    single precision version – MUMPS if installed, then SLU if installed, ILU otherwise;
    +
    double precision version – UMF if installed, then MUMPS if installed, then SLU if installed, ILU otherwise.
    + + + + +
    Note. Further options for coarse solvers are contained in Table 6.
    +
    For a first use it is suggested to use the default options obtained by simply selecting the solver type.
    +

    what

    		data type

    val

    default

    comments

    ’COARSE_MAT’

    character(len=*)

    ’DIST’ +

    ’REPL’

    ’REPL’

    Coarsest matrix layout: distributed among the +processes or replicated on each of them.

    ’COARSE_SOLVE’

    character(len=*)

    ’MUMPS’ +

    ’UMF’ +

    ’SLU’ +

    ’SLUDIST’ +

    ’JACOBI’ +

    ’GS’ +

    ’BJAC’ +

    ’KRM’ +’L1-JACOBI’ +

    ’L1-BJAC’ +

    ’L1-FBGS’

    See Note.

    Solver used at the coarsest level: sequential +LU from MUMPS, UMFPACK, or SuperLU +(plus triangular solve); distributed LU from +MUMPS or SuperLU_Dist (plus triangular solve); +point-Jacobi, hybrid Gauss-Seidel or block-Jacobi +and related ℓ1-versions; Krylov Method (flexible +Conjugate Gradient) coupled with the block-Jacobi +preconditioner with ILU(0) on the blocks. Note +that UMF and SLU require the coarsest matrix to +be replicated, SLUDIST, JACOBI, GS, BJAC and KRM +require it to be distributed, MUMPS can be used with +either a replicated or a distributed matrix. When +any of the previous solvers is specified, the matrix +layout is set to a default value which allows the use +of the solver (see Remark 3, p. 24). Note also that +UMFPACK and SuperLU_Dist are available only in +double precision.

    ’COARSE_SUBSOLVE’

    character(len=*)

    ’ILU’ +

    ’ILUT’ +

    ’MILU’ +

    ’MUMPS’ +

    ’SLU’ +

    ’UMF’ +

    ’INVT’ +

    ’INVK’ +

    ’AINV’

    See Note.

    Solver for the diagonal blocks of the coarsest +matrix, in case the block Jacobi solver is chosen +as coarsest-level solver: ILU(p), ILU(p,t), MILU(p), +LU from MUMPS, SuperLU or UMFPACK +(plus triangular solve), Approximate Inverses +INVK(p,q), INVT(p1,p2,t1,t2) and AINV(t); note +that approximate inverses are specifically suited +for GPUs since they do not employ triangular +system solve kernels, see [3]. Note that UMFPACK +and SuperLU_Dist are available only in double +precision.

    what

    		data type

    val

    default

    comments

    ’COARSE_SWEEPS’

    integer

    Any +integer +

    number > +0

    10

    Number of sweeps when JACOBI, GS or BJAC is +chosen as coarsest-level solver.

    ’COARSE_FILLIN’

    integer

    Any +integer +

    number ≥ +0

    0

    Fill-in level p of the ILU factorizations and first +fill-in for the approximate inverses.

    ’COARSE_ILUTHRS’

    real(kind_parameter)

    Any real +

    number ≥ +0

    0

    Drop tolerance t in the ILU(p,t) factorization and +first drop-tolerance for the approximate inverses.

    + + + +
    +
    Table 5: Parameters defining the solver at the coarsest level (continued).
    + + + +
    +
    +
    + + + +

    + + + +
    +

    + + + +

    + + + + + + + + + + + + + + +

    what

    		data type

    val

    default

    comments

    ’BJAC_STOP’

    character(len=*)

    ’FALSE’ +

    ’TRUE’

    ’FALSE’

    Select whether to use a stopping criterion for +the Block-Jacobi method used as a coarse +solver.

    ’BJAC_TRACE’

    character(len=*)

    ’FALSE’ +

    ’TRUE’

    ’FALSE’

    Select whether to print a trace for the +calculated residual for the Block-Jacobi +method used as a coarse solver.

    ’BJAC_ITRACE’

    integer

    Any integer +

    > 0

    -1

    Number of iterations after which a trace is to +be printed.

    ’BJAC_RESCHECK’

    integer

    Any integer +

    > 0

    -1

    Number of iterations after which a residual is +to be calculated.

    ’BJAC_STOPTOL’

    real(kind_parameter)

    Any real +

    < 1

    0

    Tolerance for the stopping criterion on the +residual.

    ’KRM_METHOD’

    character(len=*)

    ’CG’ +

    ’FCG’ +

    ’CGS’ +

    ’CGR’ +

    ’BICG’ +

    ’BICGSTAB’ +

    ’BICGSTABL’ +

    ’RGMRES’

    ’FCG’

    A string that defines the iterative method to +be used when employing a Krylov method +’KRM’ as a coarse solver. CG the Conjugate +Gradient method; FCG the Flexible Conjugate +Gradient method; CGS the Conjugate Gradient +Stabilized +method; GCR the Generalized Conjugate +Residual method; FCG the Flexible Conjugate +Gradient method; BICG the Bi-Conjugate +Gradient method; BICGSTAB the Bi-Conjugate +Gradient Stabilized method; BICGSTABL the +Bi-Conjugate Gradient Stabilized method +with restarting; RGMRES the Generalized +Minimal Residual method with restarting. +Refer to the PSBLAS guide [20] for further +information.

    ’KRM_KPREC’

    character(len=*)

    Table 1

    ’BJAC’

    The one-level +preconditioners from the Table 1 can be used +for the coarse Krylov solver.

    ’KRM_SUB_SOLVE’

    character(len=*)

    Table 5

    ’ILU’

    Solver for the diagonal blocks of the coarsest +matrix preconditioner, in case the block Jacobi +solver is chosen +as ’KRM_KPREC’: ILU(p), ILU(p,t), MILU(p), +LU from MUMPS, SuperLU or UMFPACK +(plus triangular solve), Approximate Inverses +INVK(p,q), INVT(p1,p2,t1,t2) and AINV(t); +The same caveat from Table 5 applies here.

    ’KRM_GLOBAL’

    character(len=*)

    ’TRUE’, +’FALSE’

    ’FALSE’

    Choose between a global Krylov solver, all +unknowns on a single node, or a distributed +one. The default choice is the distributed +solver.

    ’KRM_EPS’

    real(kind_parameter)

    Real < 1

    10-6

    The stopping tolerance.

    ’KRM_IRST’

    integer

    Integer +

    ≥ 1

    30

    An integer specifying the restart parameter. +This is employed for the BiCGSTABL or RGMRES +methods, otherwise it is ignored.

    ’KRM_ISTOPC’

    integer

    Integers +1,2,3

    2

    If 1 then the method uses the normwise +backward error in the infinity norm; if 2, the +it uses the relative residual in the 2-norm; if 3 +the relative residual reduction in the 2-norm is +used instead; refer to the PSBLAS [20] guide +for the details.

    ’KRM_ITMAX’

    integer

    Integer +

    ≥ 1

    40

    The maximum number of iterations to +perform.

    ’KRM_ITRACE’

    integer

    Integer +

    ≥ 0

    -1

    If > 0 print out +an informational message about convergence +every ’KRM_ITRACE’ iterations. If = 0 print a +message in case of convergence failure.

    ’KRM_FILLIN’

    integer

    Integer +

    ≥ 0

    0

    Fill-in level p of the ILU factorizations and +first fill-in for the approximate inverses.

    + + +
    +
    Table 6: Additional parameters defining the solver at the coarsest level.
    + + + +
    +
    +
    + + + +

    + + + +
    +

    +

    + + + +

    what

    		data type

    val

    default

    comments

    ’SMOOTHER_TYPE’

    character(len=*)

    ’JACOBI’ +

    ’GS’ +

    ’BGS’ +

    ’BJAC’ +

    ’AS’ +

    ’L1-JACOBI’ +

    ’L1-BJAC’ +

    ’L1-FBGS’

    ’FBGS’

    Type of smoother used in the multilevel +preconditioner: point-Jacobi, hybrid +(forward) Gauss-Seidel, hybrid backward +Gauss-Seidel, block-Jacobi, ℓ1-Jacobi, +ℓ1–hybrid (forward) Gauss-Seidel, +ℓ1-point-Jacobi and Additive Schwarz. +

    It is ignored by one-level preconditioners.

    ’SUB_SOLVE’

    character(len=*)

    ’JACOBI’ +’GS’ +

    ’BGS’ +

    ’ILU’ +

    ’ILUT’ +

    ’MILU’ +

    ’MUMPS’ +

    ’SLU’ +

    ’UMF’ +

    ’INVT’ +

    ’INVK’ +

    ’AINV’

    GS and BGS for pre- +and post-smoothers of +multilevel +preconditioners, +respectively +

    ILU for block-Jacobi +and Additive Schwarz +one-level +preconditioners

    The local solver to be used with the +smoother or one-level preconditioner (see +Remark 2, page 24): point-Jacobi, hybrid +(forward) Gauss-Seidel, hybrid backward +Gauss-Seidel, ILU(p), ILU(p,t), MILU(p), +LU from MUMPS, +SuperLU or UMFPACK (plus triangular +solve), Approximate Inverses INVK(p,q), +INVT(p1,p2,t1,t2) and AINV(t); note +that approximate inverses are specifically +suited for GPUs since they do not employ +triangular system solve kernels, see [3]. See +Note for details on hybrid Gauss-Seidel.

    ’SMOOTHER_SWEEPS’

    integer

    Any integer +

    number ≥ 0

    1

    Number of sweeps of the smoother or +one-level preconditioner. In the multilevel +case, no pre-smother or post-smoother +is used if this parameter is set to 0 +together with pos=’PRE’ or pos=’POST’, +respectively.

    ’SUB_OVR’

    integer

    Any integer +

    number ≥ 0

    1

    Number of overlap layers, for Additive +Schwarz only.

    +
    Table 7: Parameters defining the smoother or the details of the one-level +preconditioner.
    + + + +
    +
    +
    + + + +

    + + + +
    +

    +

    + + + + + + +

    what

    		data type

    val

    default

    comments

    ’SUB_RESTR’

    character(len=*)

    ’HALO’ +

    ’NONE’

    ’HALO’

    Type of restriction operator, for Additive +Schwarz only: HALO for taking into account +the overlap, ’NONE’ for neglecting it. +

    Note that HALO must be chosen for the +classical Addditive Schwarz smoother and +its RAS variant.

    ’SUB_PROL’

    character(len=*)

    ’SUM’ +

    ’NONE’

    ’NONE’

    Type of prolongation operator, for Additive +Schwarz only: ’SUM’ for adding the +contributions from the overlap, ’NONE’ for +neglecting them. +

    Note that ’SUM’ must be chosen for the +classical Additive Schwarz smoother, and +’NONE’ for its RAS variant.

    ’SUB_FILLIN’

    integer

    Any integer +

    number ≥ 0

    0

    Fill-in level p of the incomplete LU +factorizations.

    ’SUB_ILUTHRS’

    real(kind_parameter)

    Any real +number ≥ 0

    0

    Drop tolerance t in the ILU(p,t) +factorization.

    ’MUMPS_LOC_GLOB’

    character(len=*)

    ’LOCAL_SOLVER’ +

    ’GLOBAL_SOLVER’

    ’GLOBAL_SOLVER’

    Whether MUMPS should be used as a +distributed solver, or as a serial solver acting +only on the part of the matrix local to each +process.

    ’MUMPS_IPAR_ENTRY’

    integer

    Any integer +number

    0

    Set an entry in the MUMPS integer control +array, as chosen via the idx optional +argument.

    ’MUMPS_RPAR_ENTRY’

    real

    Any real number

    0

    Set an entry in the MUMPS real control +array, as chosen via the idx optional +argument.

    +
    Table 8: Parameters defining the smoother or the details of the one-level preconditioner +(continued).
    + + + +
    +
    + + + + + + +

    [next] [up]

    -

    diff --git a/docs/src/building.tex b/docs/src/building.tex index 06b0b836..cc54f95c 100644 --- a/docs/src/building.tex +++ b/docs/src/building.tex @@ -48,7 +48,7 @@ work in the expected way. Our advice is first to download the LAPACK tarfile fro \href{http://www.netlib.org/lapack}{www.netlib.org/lapack} and install it independently of ATLAS. In this case, you need to modify the OPTS and NOOPT definitions for including -fPIC compilation option in the make.inc file of the LAPACK library. -\item[MPI] \cite{MPI2,MPI1} A version of MPI is available on most + \item[MPI] \cite{MPI2,MPI1} A version of MPI is available on most high-performance computing systems. \item[PSBLAS] \cite{PSBLASGUIDE,psblas_00} Parallel Sparse BLAS (PSBLAS) is available from @@ -61,6 +61,18 @@ Please note that the four previous libraries must have Fortran interfaces compatible with AMG4PSBLAS; usually this means that they should all be built with the same compiler being used for AMG4PSBLAS. +If you want to use the PSBLAS support for NVIDIA GPUs, you will also +need: +\begin{description} + \item[PSBLAS-EXT] Parallel Sparse BLAS (PSBLAS) Extensions, + available from + \href{https://psctoolkit.github.io/products/psblasext/}{psctoolkit.github.io/products/psblasext/}; version 1.3.0 (or later). + \item[SPGPU] Sparse CUDA kernels for NVIDIA GPUs; available from + GitHub, see also + \href{https://psctoolkit.github.io/products/psblasext/}{psctoolkit.github.io/products/psblasext/}. + \end{description} + See also Sec~\ref{sec:gpu-example}. + \subsection{Optional third party libraries\label{sec:third-party}} We provide interfaces to the following third-party software libraries; diff --git a/docs/src/gettingstarted.tex b/docs/src/gettingstarted.tex index 42399ee6..e4322ce0 100644 --- a/docs/src/gettingstarted.tex +++ b/docs/src/gettingstarted.tex @@ -416,6 +416,45 @@ call P%build(A,desc_A,info) \end{listing} + +\subsection{GPU example\label{sec:gpu-example}} + +The code reported in Figure~\ref{fig:gpu-ex1} shows how to set up a +program exploiting the combined GPU capabilities of PSBLAS and +AMG4PSBLAS. +\begin{listing}[h!] +\ifpdf +\begin{minted}[breaklines=true,bgcolor=bg,fontsize=\small]{fortran} +! build a one-level RAS with overlap 2 and ILU(0) on the local blocks. +call P%init('AS',info) +call P%set('SUB_OVR',2,info) +call P%build(A,desc_A,info) +... ... +! solve Ax=b with preconditioned BiCGSTAB + call psb_krylov('BICGSTAB',A,P,b,x,tol,desc_A,info) +\end{minted} +\else +\begin{center} +\begin{minipage}{.90\textwidth} +{\small +\begin{verbatim} +! build a one-level RAS with overlap 2 and ILU(0) on the local blocks. +call P%init('AS',info) +call P%set('SUB_OVR',2,info) +call P%build(A,desc_A,info) +... ... +! solve Ax=b with preconditioned BiCGSTAB + call psb_krylov('BICGSTAB',A,P,b,x,tol,desc_A,info) +\end{verbatim} +} +\end{minipage} +\end{center} +\fi +\caption{setup of a one-level Schwarz preconditioner.\label{fig:gpu-ex1}} +\end{listing} + + + %%% Local Variables: %%% mode: latex %%% TeX-master: "userguide"