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Performance testing for sparse matrix solvers
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boyle/meagre-crowd
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Compiling and Installing ------------------------ If checking out code from a repository, run ./autogen to regenerate the configure scripts. You will need m4 and the autoconf tools installed to regenerate these scripts. If these are not available then download the tar ball which has the configure scripts pre-generated for you. (meagre-crowd-X.Y.Z.tar.gz) Make sure the prerequists are available, including MPI. You may need to add the MPI bin directory to the path. The script get_dependencies is a good starting point, though it will likely need to be modified. A proper dependency system via Gentoo, Ubuntu, or RedHat should be able to provide most of the dependencies. Run the following commands to compile this program ./configure make make install Run ./configure --prefix=<dir> to have the files installed in a different location from the default /usr/local (i.e. if you don't have root permission and would like to install it in your home directory) If you've used the get_dependancies script then you probably want to run configure with ./configure LDFLAGS="-L$PWD/$(gcc -dumpmachine)/lib -Wl,-rpath,$PWD/$(gcc -dumpmachine)/lib" CPPFLAGS="-I $PWD/$(gcc -dumpmachine)/include" --prefix=$PWD/installed --enable-debug=yes --with-all-solvers or something similar. The -L and -I directories should be current locations for the files, while the -rpath should be the final installed location. Running the Tests ----------------- To execute the test suite run make check Preparing for Distribution -------------------------- To tar the archive, then expand, compile and run the test suite make distcheck or, for local dependencies make distcheck DISTCHECK_CONFIGURE_FLAGS="LDFLAGS=\"-L$PWD/$(gcc -dumpmachine)/lib -Wl,-rpath,$PWD/$(gcc -dumpmachine)/lib\" CPPFLAGS=\"-I $PWD/$(gcc -dumpmachine)/include\"" Running the Program ------------------- You can get test matrices from the University of Florida Sparse Matrix collection. The first 292 matrices of the Univesity of Florida collection are the Harwell-Boeing Sparse Matrix collection, so you don't need to download both. http://www.cise.ufl.edu/research/sparse/matrices For usage information, run without any options meagre-crowd For help indicating what the program can do, run meagre-crowd --help To load a matrix 'A' to solve using the default solver, using 2 MPI processes, show some info on the matrix and time the solving of it: mpirun -n 2 ./meagre-crowd -i tests/test.mm -v -t Note that you probably also need to submit a job to a scheduler if you are on a larger multicore system. (bsub, qsub, sqsub?) File types: Currently, meagre-crowd determines file type from extensions, it can only handle MatrixMarket format which it expects to have a .mm extension. Rutherford-Boeing and Harwell-Boeing would be .rb and .hb respectively. Matrix Sizes: The equation 'Ax=b' is solved for 'x', where 'A' is a m-by-n matrix (m rows, n columns), then the right-hand side 'b' is m-by-p, where having more than a single column in 'b' (p columns) is equivilant to requesting multiple solutions to the equation, once per-column. The result 'x' will be an n-by-p matrix. Right-hand Sides: The right-hand side of the equation (the 'b' in 'Ax=b') is selected based on (in priority order) 1. if a right-hand side is specified on the command-line (--rhs, -b), 2. if the input matrix file has a right-hand side stored in the file (a warning is produced if one is specified on the command-line as well) or, 3. as a last resort a right-hand side is generated. A right-hand side is generated by creating a single vector (1 column, and with number of rows matching the matrix A). The values of the vector match the row index, starting at 1 for the first row. Contact Us ---------- Discussion and announcements regarding Meagre-Crowd are via the mailing list (http://groups.google.com/group/meagre-crowd) Patches, discussion, and suggestions are welcome! Software is available at http://github.com/boyle/meagre-crowd. Issues and bugs can be logged in the github issue tracker. Publications and a couple of academic presentations are also available. (http://www.sce.carleton.ca/~boyle/software.html) See the AUTHORS file, for a list of contributors.
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Performance testing for sparse matrix solvers
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