Highly Parallel Sparse Matrix-Matrix Multiplication

Generalized sparse matrix-matrix multiplication is a key primitive for many high performance graph algorithms as well as some linear solvers such as multigrid. The authors present the first parallel algorithms that achieve increasing speedups for an unbounded number of processors. Their algorithms are based on two-dimensional block distribution of sparse matrices where serial sections use a novel hypersparse kernel for scalability. They give a state-of-the-art MPI implementation of one of their algorithms. Their experiments show scaling up to thousands of processors on a variety of test scenarios.

Provided by: UC Regents Topic: Data Centers Date Added: Jun 2010 Format: PDF

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