This directory contains  the PSBLAS library, version 2.1.0
  

Version 1.0 of the library was described in:
S. Filippone, M. Colajanni
PSBLAS: A library for parallel linear algebra computation on sparse matrices
ACM Trans. on Math. Software, 26(4), Dec. 2000, pp. 527-550.

PLATFORMS: 

The compilation process relies on the choice of an appropriate
Make.inc file; we have tested with AIX XLF, Intel ifc/Linux, Lahey
F95/Linux,  Nag f95/Linux, GNU Fortran/Linux. If you succeed in compiling with 
other compiler/operating systems please let us know. 


LINUX:

There finally exist a GNU Fortran 95 implementation: we are using the
development snapshots from GCC 3.5.0, later 4.1 and 4.2  since July
2004, and it appears  to work. The 4.2 version of GNU compilers is now
our reference platform; the official 4.2.0 release is due pretty
soon. It now includes  support for ALLOCATABLES. 


The Lahey version we got access to (6.0 and 6.1) seems to suffer from
spurious extra copies problem; this is most apparent in the matrix
build process.  

For the Intel compilers, we recommend moving to version 9; previous
versions of the library have been compiled with version 7 and 8 of
ifort. 

IBM SP.
The library has been tested on an IBM SP2, SP4 and SP5, with XLC and XLF
compilers, and a version of the BLACS based on MPI.
The  setting 
 F90=xlf90 -qsuffix=f=f90
in Make.inc.rs6k takes care of the f90 extension. 
WARNING: xlf 8.1 introduced a performance bug, whereas a Fortan 90
code calling a  Fortan 77 code would incur spurious array copies;
please make sure your system has the PTF xlf 8102 installed. 



UTILITIES
The TEST/Fileread directory contains some utilities to convert to/from
Harwell-Boeing and MatrixMarket file formats. 


DOCUMENTATION

See userguide.pdf 
Please consult the sample programs, especially TEST/pargen/ppde90.f90. 


OTHER SOFTWARE CREDITS 

We include our modified implementation of some of the Sparker (serial
sparse BLAS)  material,  e.g. Jagged diagonal, plus a number of
extensions of our own design. The original file spblas.f can be
downloaded from matisa.cc.rl.ac.uk; of course any bugs in our
implementation are our own to fix.  The main reference for the serial
sparse BLAS is: 
Duff, I., Marrone, M., Radicati, G., and Vittoli, C.
Level 3 basic linear algebra subprograms for sparse matrices: a user 
level interface
ACM Trans. Math. Softw., 23(3), 379-401, 1997.

In the multilevel preconditioners we use SMMP by Randolph E. Bank and
Craig C. Douglas  na.bank@na-net.ornl.gov and
na.cdouglas@na-net.ornl.gov;  we wrapped  it in a Fortran 95 interface
with dynamic memory allocation. 

To compile and run our software you will need 

1. A working version of MPI

2. The MPI version of the BLACS  from
   http://www.netlib.org/blacs/index.html

3. A version of the BLAS; if you don't have a specific version for
   your platform you may try ATLAS available from
   http://math-atlas.sourceforge.net/ 

4. We have had good results with  the METIS library, from 
   http://www-users.cs.umn.edu/~karypis/metis/metis/main.html 
   This is not necessary to compile our library, but the test program
   in test/Fileread assumes you have it installed.  

5. For our preconditioners we include interfaces to the following
   software  packages:
   --  SuperLU 3.0        http://crd.lbl.gov/~xiaoye/SuperLU/
   --  UMFPACK 4.4        http://www.cise.ufl.edu/research/sparse/umfpack/ 
   These are optional, you only need to install them if you actually
   want to use them. 


TODO:
-  As soon as TR 15581 and MOVE_ALLOC become available in GNU Fortran
   we shall move from POINTERS to ALLOCATABLE for both vectors and
   derived data types components. 
-  The GLOB_TO_LOC array should be changed for large test cases. 


The PSBLAS team. 


Contact: Salvatore Filippone     salvatore.filippone@uniroma2.it

Credits for version 2.0:
Salvatore  Filippone
Alfredo    Buttari

The MD2P4 multilevel parallel preconditioners contained in directory
src/prec were developed with the contribution of:  
Pasqua     D'Ambra
Daniela    di Serafino
They are still in an early experimental stage, use at your own risk!

Credits for version 1.0:
Salvatore  Filippone
Michele    Colajanni
Fabio      Cerioni
Stefano    Maiolatesi
Dario      Pascucci