SuperLU_DIST (version 2.1)
==========================
Copyright (c) 2003, The Regents of the University of California, through
Lawrence Berkeley National Laboratory (subject to receipt of any required
approvals from U.S. Dept. of Energy)
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SuperLU_DIST contains a set of subroutines to solve a sparse linear system
A*X=B. It uses Gaussian elimination with static pivoting (GESP).
Static pivoting is a technique that combines the numerical stability of
partial pivoting with the scalability of Cholesky (no pivoting),
to run accurately and efficiently on large numbers of processors.
SuperLU_DIST is a parallel extension to the serial SuperLU library.
It is targeted for the distributed memory parallel machines.
SuperLU_DIST is implemented in ANSI C, and MPI for communications.
Currently, the LU factorization and triangular solution routines,
which are the most time-consuming part of the solution process,
are parallelized. The other routines, such as static pivoting and
column preordering for sparsity are performed sequentially.
This "alpha" release contains double-precision real and double-precision
complex data types.
The distribution contains the following directory structure:
SuperLU_DIST/README instructions on installation
SuperLU_DIST/CBLAS/ needed BLAS routines in C, not necessarily fast
SuperLU_DIST/DOC/ the Users' Guide
SuperLU_DIST/EXAMPLE/ example programs
SuperLU_DIST/INSTALL/ test machine dependent parameters
SuperLU_DIST/SRC/ C source code, to be compiled into libsuperlu_dist.a
SuperLU_DIST/lib/ contains library archive libsuperlu_dist.a
SuperLU_DIST/Makefile top level Makefile that does installation and testing
SuperLU_DIST/make.inc compiler, compiler flags, library definitions and C
preprocessor definitions, included in all Makefiles.
(You may need to edit it to suit for your system
before compiling the whole package.)
SuperLU_DIST/MAKE_INC/ sample machine-specific make.inc files
Before installing the package, please examine the three things dependent
on your system setup:
1. Edit the make.inc include file.
This make include file is referenced inside each of the Makefiles
in the various subdirectories. As a result, there is no need to
edit the Makefiles in the subdirectories. All information that is
machine specific has been defined in this include file.
Sample machine-specific {\tt make.inc} are provided in the MAKE_INC/
directory for several platforms, such as Cray T3E and IBM SP.
When you have selected the machine to which you wish to install
SuperLU_DIST, copy the appropriate sample include file (if one is present)
into make.inc. For example, if you wish to run SuperLU_DIST on a
Cray T3E, you can do
cp MAKE_INC/make.t3e make.inc
For the systems other than listed above, some porting effort is needed
for parallel factorization routines. Please refer to the Users' Guide
for detailed instructions on porting.
2. The BLAS library.
The parallel routines in SuperLU_DIST uses some sequential BLAS routines
on each process. If there is BLAS library available on your machine,
you may define the following in the file make.inc:
BLASDEF = -DUSE_VENDOR_BLAS
BLASLIB = <BLAS library you wish to link with>
The CBLAS/ subdirectory contains the part of the C BLAS needed by
SuperLU_DIST package. However, these codes are intended for use only if
there is no faster implementation of the BLAS already available on your
machine. In this case, you should go to the top-level SuperLU_DIST/
directory and do the following:
1) In make.inc, undefine (comment out) BLASDEF, and define:
BLASLIB = ../lib/libblas$(PLAT).a
2) Type:
make blaslib
to make the BLAS library from the routines in the CBLAS/ subdirectory.
3. External libraries: Metis and ParMetis.
If you will use Metis or ParMetis ordering, or parallel
symbolic factorization (which depends on ParMetis), you will
need to install them yourself. Since ParMetis package already
contains the source code for the Metis library, you can just
download ParMetis at:
http://glaros.dtc.umn.edu/gkhome/metis/parmetis/download
After you have installed it, you should define the following in make.inc:
METISLIB = -L<metis directory> -lmetis
PARMETISLIB = -L<parmetis directory> -lparmetis
4. C preprocessor definition CDEFS.
In the header file SRC/Cnames.h, we use macros to determine how
C routines should be named so that they are callable by Fortran.
(Some vendor-supplied BLAS libraries do not have C interfaces. So the
re-naming is needed in order for the SuperLU BLAS calls (in C) to
interface with the Fortran-style BLAS.)
The possible options for CDEFS are:
o -DAdd_: Fortran expects a C routine to have an underscore
postfixed to the name;
o -DNoChange: Fortran expects a C routine name to be identical to
that compiled by C;
o -DUpCase: Fortran expects a C routine name to be all uppercase.
A Makefile is provided in each subdirectory. The installation can be done
completely automatically by simply typing "make" at the top level.
REFERENCES
[1] SuperLU_DIST: A Scalable Distributed-Memory Sparse Direct Solver for
Unsymmetric Linear Systems. Xiaoye S. Li and James W. Demmel.
ACM Trans. on Math. Solftware, Vol. 29, No. 2, June 2003, pp. 110-140.
[2] Parallel Symbolic Factorization for Sparse LU with Static Pivoting.
L. Grigori, J. Demmel and X.S. Li. SIAM J. Sci. Comp., Vol. 29, Issue 3,
1289-1314, 2007.
Xiaoye S. Li Lawrence Berkeley National Lab, xsli@lbl.gov
James Demmel Univ. of California Berkeley, demmel@cs.berkeley.edu
Laura Grigori INRIA, France, Laura.Grigori@inria.fr
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| RELEASE NOTES |
-----------------
* Version 2.0, 10-15-2003
- "set_default_options" is renamed to "set_default_options_dist",
because sequential SuperLU now uses set_default_options.
- add a field in input "options" argument to control whether to
print the solver's statistics.
- add Fortran 90 wrapper in FORTRAN/ directory.
- fixed a bug in triangular solve, which is related to the unfreed
MPI_Irecv request handles.
* Version 2.1, 10-01-2007
- include parallel symbolic factorization capability.
- include Metis or ParMetis ordering algorithms.
