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psblas3/test/serial/d_coo_matgen.f03

477 lines
14 KiB
Fortran

!
program d_coo_matgen
use psb_sparse_mod
use psb_prec_mod
use psb_krylov_mod
use psb_d_base_mat_mod
use psb_d_csr_mat_mod
implicit none
! input parameters
character(len=20) :: kmethd, ptype
character(len=5) :: afmt
integer :: idim
! miscellaneous
real(psb_dpk_), parameter :: one = 1.d0
real(psb_dpk_) :: t1, t2, tprec
! sparse matrix and preconditioner
type(psb_d_sparse_mat) :: a
type(psb_dprec_type) :: prec
! descriptor
type(psb_desc_type) :: desc_a
! dense matrices
real(psb_dpk_), allocatable :: b(:), x(:)
! blacs parameters
integer :: ictxt, iam, np
! solver parameters
integer :: iter, itmax,itrace, istopc, irst
integer(psb_long_int_k_) :: amatsize, precsize, descsize
real(psb_dpk_) :: err, eps
! other variables
integer :: info, err_act
character(len=20) :: name,ch_err
info=0
call psb_init(ictxt)
call psb_info(ictxt,iam,np)
if (iam < 0) then
! This should not happen, but just in case
call psb_exit(ictxt)
stop
endif
if(psb_get_errstatus() /= 0) goto 9999
call psb_set_errverbosity(2)
!
! get parameters
!
call get_parms(ictxt,idim)
!
! allocate and fill in the coefficient matrix, rhs and initial guess
!
call psb_barrier(ictxt)
t1 = psb_wtime()
call create_matrix(idim,a,b,x,desc_a,ictxt,afmt,info)
call psb_barrier(ictxt)
t2 = psb_wtime() - t1
if(info /= 0) then
call psb_error(ictxt)
end if
call psb_exit(ictxt)
stop
9999 continue
call psb_erractionrestore(err_act)
if (err_act == psb_act_abort_) then
call psb_error(ictxt)
end if
stop
contains
!
! get iteration parameters from standard input
!
subroutine get_parms(ictxt,idim)
integer :: ictxt
integer :: idim
integer :: np, iam
integer :: intbuf(10), ip
call psb_info(ictxt, iam, np)
read(*,*) idim
return
end subroutine get_parms
!
! print an error message
!
subroutine pr_usage(iout)
integer :: iout
write(iout,*)'incorrect parameter(s) found'
write(iout,*)' usage: pde90 methd prec dim &
&[istop itmax itrace]'
write(iout,*)' where:'
write(iout,*)' methd: cgstab cgs rgmres bicgstabl'
write(iout,*)' prec : bjac diag none'
write(iout,*)' dim number of points along each axis'
write(iout,*)' the size of the resulting linear '
write(iout,*)' system is dim**3'
write(iout,*)' istop stopping criterion 1, 2 '
write(iout,*)' itmax maximum number of iterations [500] '
write(iout,*)' itrace <=0 (no tracing, default) or '
write(iout,*)' >= 1 do tracing every itrace'
write(iout,*)' iterations '
end subroutine pr_usage
!
! subroutine to allocate and fill in the coefficient matrix and
! the rhs.
!
subroutine create_matrix(idim,a,b,xv,desc_a,ictxt,afmt,info)
!
! discretize the partial diferential equation
!
! b1 dd(u) b2 dd(u) b3 dd(u) a1 d(u) a2 d(u) a3 d(u)
! - ------ - ------ - ------ - ----- - ------ - ------ + a4 u
! dxdx dydy dzdz dx dy dz
!
! with Dirichlet boundary conditions, on the unit cube 0<=x,y,z<=1.
!
! Boundary conditions are set in a very simple way, by adding
! equations of the form
!
! u(x,y) = exp(-x^2-y^2-z^2)
!
! Note that if a1=a2=a3=a4=0., the PDE is the well-known Laplace equation.
!
use psb_sparse_mod
implicit none
integer :: idim
integer, parameter :: nb=20
real(psb_dpk_), allocatable :: b(:),xv(:)
type(psb_desc_type) :: desc_a
integer :: ictxt, info
character :: afmt*5
type(psb_d_sparse_mat) :: a
real(psb_dpk_) :: zt(nb),glob_x,glob_y,glob_z
integer :: m,n,nnz,glob_row,nlr,i,ii,ib,k
integer :: x,y,z,ia,indx_owner
integer :: np, iam, nr, nt,nz,isz
integer :: element
integer, allocatable :: irow(:),icol(:),myidx(:)
real(psb_dpk_), allocatable :: val(:)
type(psb_d_coo_sparse_mat) :: acoo
type(psb_d_csr_sparse_mat) :: acsr
! deltah dimension of each grid cell
! deltat discretization time
real(psb_dpk_) :: deltah
real(psb_dpk_),parameter :: rhs=0.d0,one=1.d0,zero=0.d0
real(psb_dpk_) :: t0, t1, t2, t3, tasb, talc, ttot, tgen, tcpy, tmov
real(psb_dpk_) :: a1, a2, a3, a4, b1, b2, b3
external :: a1, a2, a3, a4, b1, b2, b3
integer :: err_act
character(len=20) :: name, ch_err, asbfmt
info = 0
name = 'create_matrix'
call psb_erractionsave(err_act)
call psb_info(ictxt, iam, np)
deltah = 1.d0/(idim-1)
! initialize array descriptor and sparse matrix storage. provide an
! estimate of the number of non zeroes
m = idim*idim*idim
n = m
nnz = ((n*9)/(np))
if(iam == psb_root_) write(0,'("Generating Matrix (size=",i0,")...")')n
!
! Using a simple BLOCK distribution.
!
nt = (m+np-1)/np
nr = max(0,min(nt,m-(iam*nt)))
nt = nr
call psb_sum(ictxt,nt)
if (nt /= m) write(0,*) iam, 'Initialization error ',nr,nt,m
write(0,*) iam, 'Initialization ',nr,nt,m
nlr = nt
call psb_barrier(ictxt)
t0 = psb_wtime()
call acoo%allocate(nr,nr)
talc = psb_wtime()-t0
!!$ write(*,*) 'Test get size:',d_coo_get_size(acoo)
!!$ write(*,*) 'Test 2 get size:',acoo%get_size(),acoo%get_nzeros()
if (info /= 0) then
info=4010
ch_err='allocation rout.'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
! we build an auxiliary matrix consisting of one row at a
! time; just a small matrix. might be extended to generate
! a bunch of rows per call.
!
allocate(val(20*nb),irow(20*nb),&
&icol(20*nb),myidx(nlr),stat=info)
if (info /= 0 ) then
info=4000
call psb_errpush(info,name)
goto 9999
endif
! loop over rows belonging to current process in a block
! distribution.
call psb_barrier(ictxt)
t1 = psb_wtime()
do ii=1, nlr,nb
ib = min(nb,nlr-ii+1)
!!$ write(0,*) 'Row ',ii,ib
element = 1
do k=1,ib
i=ii+k-1
! local matrix pointer
glob_row=i
! compute gridpoint coordinates
if (mod(glob_row,(idim*idim)) == 0) then
x = glob_row/(idim*idim)
else
x = glob_row/(idim*idim)+1
endif
if (mod((glob_row-(x-1)*idim*idim),idim) == 0) then
y = (glob_row-(x-1)*idim*idim)/idim
else
y = (glob_row-(x-1)*idim*idim)/idim+1
endif
z = glob_row-(x-1)*idim*idim-(y-1)*idim
! glob_x, glob_y, glob_x coordinates
glob_x=x*deltah
glob_y=y*deltah
glob_z=z*deltah
! check on boundary points
zt(k) = 0.d0
! internal point: build discretization
!
! term depending on (x-1,y,z)
!
if (x==1) then
val(element)=-b1(glob_x,glob_y,glob_z)&
& -a1(glob_x,glob_y,glob_z)
val(element) = val(element)/(deltah*&
& deltah)
zt(k) = exp(-glob_y**2-glob_z**2)*(-val(element))
else
val(element)=-b1(glob_x,glob_y,glob_z)&
& -a1(glob_x,glob_y,glob_z)
val(element) = val(element)/(deltah*&
& deltah)
icol(element) = (x-2)*idim*idim+(y-1)*idim+(z)
irow(element) = glob_row
element = element+1
endif
! term depending on (x,y-1,z)
if (y==1) then
val(element)=-b2(glob_x,glob_y,glob_z)&
& -a2(glob_x,glob_y,glob_z)
val(element) = val(element)/(deltah*&
& deltah)
zt(k) = exp(-glob_y**2-glob_z**2)*exp(-glob_x)*(-val(element))
else
val(element)=-b2(glob_x,glob_y,glob_z)&
& -a2(glob_x,glob_y,glob_z)
val(element) = val(element)/(deltah*&
& deltah)
icol(element) = (x-1)*idim*idim+(y-2)*idim+(z)
irow(element) = glob_row
element = element+1
endif
! term depending on (x,y,z-1)
if (z==1) then
val(element)=-b3(glob_x,glob_y,glob_z)&
& -a3(glob_x,glob_y,glob_z)
val(element) = val(element)/(deltah*&
& deltah)
zt(k) = exp(-glob_y**2-glob_z**2)*exp(-glob_x)*(-val(element))
else
val(element)=-b3(glob_x,glob_y,glob_z)&
& -a3(glob_x,glob_y,glob_z)
val(element) = val(element)/(deltah*&
& deltah)
icol(element) = (x-1)*idim*idim+(y-1)*idim+(z-1)
irow(element) = glob_row
element = element+1
endif
! term depending on (x,y,z)
val(element)=2*b1(glob_x,glob_y,glob_z)&
& +2*b2(glob_x,glob_y,glob_z)&
& +2*b3(glob_x,glob_y,glob_z)&
& +a1(glob_x,glob_y,glob_z)&
& +a2(glob_x,glob_y,glob_z)&
& +a3(glob_x,glob_y,glob_z)
val(element) = val(element)/(deltah*&
& deltah)
icol(element) = (x-1)*idim*idim+(y-1)*idim+(z)
irow(element) = glob_row
element = element+1
! term depending on (x,y,z+1)
if (z==idim) then
val(element)=-b1(glob_x,glob_y,glob_z)
val(element) = val(element)/(deltah*&
& deltah)
zt(k) = exp(-glob_y**2-glob_z**2)*exp(-glob_x)*(-val(element))
else
val(element)=-b1(glob_x,glob_y,glob_z)
val(element) = val(element)/(deltah*&
& deltah)
icol(element) = (x-1)*idim*idim+(y-1)*idim+(z+1)
irow(element) = glob_row
element = element+1
endif
! term depending on (x,y+1,z)
if (y==idim) then
val(element)=-b2(glob_x,glob_y,glob_z)
val(element) = val(element)/(deltah*&
& deltah)
zt(k) = exp(-glob_y**2-glob_z**2)*exp(-glob_x)*(-val(element))
else
val(element)=-b2(glob_x,glob_y,glob_z)
val(element) = val(element)/(deltah*&
& deltah)
icol(element) = (x-1)*idim*idim+(y)*idim+(z)
irow(element) = glob_row
element = element+1
endif
! term depending on (x+1,y,z)
if (x<idim) then
val(element)=-b3(glob_x,glob_y,glob_z)
val(element) = val(element)/(deltah*&
& deltah)
icol(element) = (x)*idim*idim+(y-1)*idim+(z)
irow(element) = glob_row
element = element+1
endif
end do
call acoo%csput(element-1,irow,icol,val,1,nr,1,nr,info)
end do
tgen = psb_wtime()-t1
if(info /= 0) then
info=4010
ch_err='insert rout.'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
!!$ call acoo%print(19)
t1 = psb_wtime()
!!$ write(0,*) 'out of loop ',acoo%get_nzeros()
call acoo%fix(info)
!!$ write(0,*) '2 out of loop ',acoo%get_nzeros()
if(info /= 0) then
info=4010
ch_err='asb rout.'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
tasb = psb_wtime()-t1
!!$ call acoo%print(20)
t1 = psb_wtime()
call acsr%cp_from_coo(acoo,info)
if(info /= 0) then
info=4010
ch_err='cp rout.'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
tcpy = psb_wtime()-t1
!!$ call acsr%print(21)
t1 = psb_wtime()
call acsr%mv_from_coo(acoo,info)
if(info /= 0) then
info=4010
ch_err='mv rout.'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
tmov = psb_wtime()-t1
!!$ call acsr%print(22)
if(iam == psb_root_) then
asbfmt = a%get_fmt()
write(*,'("The matrix has been generated and assembled in ",a3," format.")')&
& asbfmt
write(*,'("-allocation time : ",es12.5)') talc
write(*,'("-coeff. gen. time : ",es12.5)') tgen
write(*,'("-assembly time : ",es12.5)') tasb
write(*,'("-copy time : ",es12.5)') tcpy
write(*,'("-move time : ",es12.5)') tmov
!!$ write(*,'("-total time : ",es12.5)') ttot
end if
call psb_erractionrestore(err_act)
return
9999 continue
call psb_erractionrestore(err_act)
if (err_act == psb_act_abort_) then
call psb_error(ictxt)
return
end if
return
end subroutine create_matrix
end program d_coo_matgen
!
! functions parametrizing the differential equation
!
function a1(x,y,z)
use psb_sparse_mod, only : psb_dpk_
real(psb_dpk_) :: a1
real(psb_dpk_) :: x,y,z
a1=1.d0
end function a1
function a2(x,y,z)
use psb_sparse_mod, only : psb_dpk_
real(psb_dpk_) :: a2
real(psb_dpk_) :: x,y,z
a2=2.d1*y
end function a2
function a3(x,y,z)
use psb_sparse_mod, only : psb_dpk_
real(psb_dpk_) :: a3
real(psb_dpk_) :: x,y,z
a3=1.d0
end function a3
function a4(x,y,z)
use psb_sparse_mod, only : psb_dpk_
real(psb_dpk_) :: a4
real(psb_dpk_) :: x,y,z
a4=1.d0
end function a4
function b1(x,y,z)
use psb_sparse_mod, only : psb_dpk_
real(psb_dpk_) :: b1
real(psb_dpk_) :: x,y,z
b1=1.d0
end function b1
function b2(x,y,z)
use psb_sparse_mod, only : psb_dpk_
real(psb_dpk_) :: b2
real(psb_dpk_) :: x,y,z
b2=1.d0
end function b2
function b3(x,y,z)
use psb_sparse_mod, only : psb_dpk_
real(psb_dpk_) :: b3
real(psb_dpk_) :: x,y,z
b3=1.d0
end function b3