Exact sparse matrix-vector multiplication on GPU's and multicore architectures

  • Authors:
  • Brice Boyer;Jean-Guillaume Dumas;Pascal Giorgi

  • Affiliations:
  • Université de Grenoble, BP Grenoble, France;Université de Grenoble, BP Grenoble, France;Université Montpellier, Montpellier, France

  • Venue:
  • Proceedings of the 4th International Workshop on Parallel and Symbolic Computation
  • Year:
  • 2010

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Abstract

We propose different implementations of the sparse matrix-dense vector multiplication (SpMV) for finite fields and rings Z /m Z. 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 library and a new parallelisation of the sigma-basis algorithm in a parallel block Wiedemann rank implementation over finite fields.