Watson Sparse Matrix Package (WSMP)       

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Watson Sparse Matrix Package (WSMP) - overview


Note: Please use the "WSMP temporary license files" tab above to download just the license files without upgrading the software.

Watson Sparse Matrix Package (WSMP) is a collection of algorithms for efficiently solving large sparse systems of linear equations. This high-performance, robust, and easy-to-use software can be used as a serial package, or in a shared-memory multiprocessor environment, or as a scalable parallel solver in a message-passing environment, where each process can be either serial or multithreaded.

WSMP Version 18.06.02

What's New and What's Coming Up

  • If you need WSMP and PWSMP libraries for a platform-compiler combination missing here, please send e-mail to (wsmp |AT| us |DOT| ibm |DOT| com).

Software Documentation

Related Papers and Reports

Related Tutorials

Known Bugs and Issues

  • The Linux libraries included in the standard distribution below may not work due to compiler, glibc, or MPI incompatibility. Please send e-mail to (wsmp |AT| us |DOT| ibm |DOT| com) if you are unable to run the example programs.
  • MPI_THREAD_MULTIPLE thread support must be requested from mpi_init_thread for the distributed-memory unsymmetric solver.
  • Please refer to the section titled "Recent Changes and Other Important Notes" in the Users' Guide before upgrading to a newer version of the software.
  • On Linux, setting the environment variables MALLOC_TRIM_THRESHOLD_ and MALLOC_MMAP_MAX_ to -1 and 0, respectively, yields the best performance, especially for the unsymmetric and symmetric indefinite solvers. However, setting MALLOC_TRIM_THRESHOLD_ to -1 can lead to memory problems when multiple processes are running on the same node/machine. In such cases, a reasonable value between 1000000 and 100000000 could be used.

Example Programs

Software Download 

E-mail contact for WSMP: wsmp |AT| us |DOT| ibm |DOT| com