Initial population
Salvatore Filippone
18 years ago
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This directory contains the PSBLAS library, version 2.1.0
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Version 1.0 of the library was described in:
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S. Filippone, M. Colajanni
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PSBLAS: A library for parallel linear algebra computation on sparse matrices
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ACM Trans. on Math. Software, 26(4), Dec. 2000, pp. 527-550.
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PLATFORMS:
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The compilation process relies on the choice of an appropriate
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Make.inc file; we have tested with AIX XLF, Intel ifc/Linux, Lahey
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F95/Linux, Nag f95/Linux, GNU Fortran/Linux. If you succeed in compiling with
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other compiler/operating systems please let us know.
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LINUX:
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There finally exist a GNU Fortran 95 implementation: we are using the
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development snapshots from GCC 3.5.0, later 4.1 and 4.2 since July
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2004, and it appears to work. The 4.2 version of GNU compilers is now
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our reference platform; the official 4.2.0 release is due pretty
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soon. It now includes support for ALLOCATABLES.
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The Lahey version we got access to (6.0 and 6.1) seems to suffer from
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spurious extra copies problem; this is most apparent in the matrix
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build process.
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For the Intel compilers, we recommend moving to version 9; previous
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versions of the library have been compiled with version 7 and 8 of
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ifort.
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IBM SP.
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The library has been tested on an IBM SP2, SP4 and SP5, with XLC and XLF
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compilers, and a version of the BLACS based on MPI.
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The setting
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F90=xlf90 -qsuffix=f=f90
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in Make.inc.rs6k takes care of the f90 extension.
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WARNING: xlf 8.1 introduced a performance bug, whereas a Fortan 90
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code calling a Fortan 77 code would incur spurious array copies;
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please make sure your system has the PTF xlf 8102 installed.
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UTILITIES
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The TEST/Fileread directory contains some utilities to convert to/from
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Harwell-Boeing and MatrixMarket file formats.
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DOCUMENTATION
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See userguide.pdf
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Please consult the sample programs, especially TEST/pargen/ppde90.f90.
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OTHER SOFTWARE CREDITS
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We include our modified implementation of some of the Sparker (serial
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sparse BLAS) material, e.g. Jagged diagonal, plus a number of
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extensions of our own design. The original file spblas.f can be
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downloaded from matisa.cc.rl.ac.uk; of course any bugs in our
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implementation are our own to fix. The main reference for the serial
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sparse BLAS is:
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Duff, I., Marrone, M., Radicati, G., and Vittoli, C.
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Level 3 basic linear algebra subprograms for sparse matrices: a user
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level interface
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ACM Trans. Math. Softw., 23(3), 379-401, 1997.
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In the multilevel preconditioners we use SMMP by Randolph E. Bank and
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Craig C. Douglas na.bank@na-net.ornl.gov and
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na.cdouglas@na-net.ornl.gov; we wrapped it in a Fortran 95 interface
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with dynamic memory allocation.
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To compile and run our software you will need
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1. A working version of MPI
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2. The MPI version of the BLACS from
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http://www.netlib.org/blacs/index.html
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3. A version of the BLAS; if you don't have a specific version for
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your platform you may try ATLAS available from
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http://math-atlas.sourceforge.net/
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4. We have had good results with the METIS library, from
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http://www-users.cs.umn.edu/~karypis/metis/metis/main.html
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This is not necessary to compile our library, but the test program
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in test/Fileread assumes you have it installed.
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5. For our preconditioners we include interfaces to the following
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software packages:
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-- SuperLU 3.0 http://crd.lbl.gov/~xiaoye/SuperLU/
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-- UMFPACK 4.4 http://www.cise.ufl.edu/research/sparse/umfpack/
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These are optional, you only need to install them if you actually
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want to use them.
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TODO:
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- As soon as TR 15581 and MOVE_ALLOC become available in GNU Fortran
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we shall move from POINTERS to ALLOCATABLE for both vectors and
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derived data types components.
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- The GLOB_TO_LOC array should be changed for large test cases.
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The PSBLAS team.
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Contact: Salvatore Filippone salvatore.filippone@uniroma2.it
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Credits for version 2.0:
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Salvatore Filippone
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Alfredo Buttari
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The MD2P4 multilevel parallel preconditioners contained in directory
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src/prec were developed with the contribution of:
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Pasqua D'Ambra
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Daniela di Serafino
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They are still in an early experimental stage, use at your own risk!
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Credits for version 1.0:
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Salvatore Filippone
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Michele Colajanni
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Fabio Cerioni
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Stefano Maiolatesi
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Dario Pascucci
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