Exact Sparse Matrix-Vector Multiplication on GPU's and Multicore Architectures

Details Exact Sparse Matrix-Vector Multiplication on GPU's and Multicore Architectures Exact Sparse Matrix-Vector Multiplication on GPU's and Multicore Architectures

2010-04-21

arxiv.org/abs/1004.3719v1

International Symposium on Parallel Symbolic Computation, Grenoble : France (2010)

Computer Science

Distributed, Parallel, and Cluster Computing

Scientific paper

10.1145/1837210.1837224

We propose different implementations of the sparse matrix--dense vector multiplication (\spmv{}) for finite fields and rings $\Zb/m\Zb$. We take advantage of graphic card processors (GPU) and multi-core architectures. Our aim is to improve the speed of \spmv{} in the \linbox library, and henceforth the speed of its black box algorithms. Besides, we use this and a new parallelization of the sigma-basis algorithm in a parallel block Wiedemann rank implementation over finite fields.

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