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ISPDC
2007
IEEE

On Grid-based Matrix Partitioning for Heterogeneous Processors

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On Grid-based Matrix Partitioning for Heterogeneous Processors
The problem of optimal matrix partitioning for parallel linear algebra on p heterogeneous processors is typically reduced to the geometrical problem of partitioning a unit square into rectangles. In the most general case, the problem has proved NP-complete. Therefore, restrictions of this problem allowing for polynomial solutions should be studied. So far, the only well-studied restriction has been a column-based geometrical partitioning problem obtained from the general problem by imposing the additional restriction that rectangles of the partitioning make up columns. This problem has a solution of the complexity )( 3 pO . This paper studies another restriction - a grid-based partitioning problem obtained from the general problem by imposing the additional restriction that the heterogeneous processors owing the rectangles of the partitioning form a two-dimensional grid. An algorithm of the complexity )( 2/3 pO solving this problem is proposed, proved and experimentally validated.
Alexey L. Lastovetsky
Added 04 Jun 2010
Updated 04 Jun 2010
Type Conference
Year 2007
Where ISPDC
Authors Alexey L. Lastovetsky
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