Experimental Study of Six Different Implementations of Parallel

  • Pedro Alonso
  • Ravi Reddy
  • Alexey Lastovetsky
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Publication date
January 2010

Abstract

Abstract—Two strategies of distribution of computations can be used to implement parallel solvers for dense linear algebra prob-lems for Heterogeneous Computational Clusters of Multicore Processors (HCoMs). These strategies are called Heterogeneous Process Distribution Strategy (HPS) and Heterogeneous Data Distribution Strategy (HDS). They are not novel and have been researched thoroughly. However, the advent of multicores neces-sitates enhancements to them. In this paper, we present these enhancements. Our study is based on experiments using six ap-plications to perform Parallel Matrix-matrix Multiplication (PMM) on an HCoM employing the two distribution strategies. Keywords- Heterogeneous ScaLAPACK; HeteroMPI; multicore clusters; matrix-m...

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