Parallel Matrix Distributions: Have we been doing it all wrong?

  title={Parallel Matrix Distributions: Have we been doing it all wrong?},
  author={Carter Edwards and Po Geng and Abani Patra and Robert A. van de Geijn},
The basic premise of this report is that traditional matrix distributions for distributing matrices on distributed memory parallel architectures are in practice too restrictive. The primary problem lies with the fact that such distributions start with the matrix, not with the underlying physical problem. Through a series of examples, we show how this hampers convenient interfaces between applications and libraries. In some instances, we show how it hampers performance in general. We propose a… CONTINUE READING

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Publications referenced by this paper.

A Parallel Algorithm for Matrix-Vector Multi- plication

  • B. Hendrickson, R. Leland, S. Plimpton
  • Tech. Rep. SAND 92-2765,
  • 1993
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