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RESEARCH PRODUCT

Experimental Study of Six Different Implementations of Parallel Matrix Multiplication on Heterogeneous Computational Clusters of Multicore Processors

Alexey LastovetskyRavi ReddyPedro Alonso

subject

Multi-core processorParallel processing (DSP implementation)Computer scienceComputationLinear algebraParallel algorithmConcurrent computingMultiplicationParallel computingMatrix multiplication

description

Two strategies of distribution of computations can be used to implement parallel solvers for dense linear algebra problems 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 necessitates enhancements to them. In this paper, we present these enhancements. Our study is based on experiments using six applications to perform Parallel Matrix-matrix Multiplication (PMM) on an HCoM employing the two distribution strategies.

yearjournalcountryeditionlanguage
2010-02-012010 18th Euromicro Conference on Parallel, Distributed and Network-based Processing
https://doi.org/10.1109/pdp.2010.52