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EUROPAR
2005
Springer

Automatic Tuning of PDGEMM Towards Optimal Performance

9 years 7 months ago
Automatic Tuning of PDGEMM Towards Optimal Performance
Sophisticated parallel matrix multiplication algorithms like PDGEMM exhibit a complex structure and can be controlled by a large set of parameters including blocking factors and block sizes used for the serial execution on one of the participating processors. But it requires a deep understanding of both the parallel algorithm and the execution platform to select the parameters such that a minimum execution time results. In this article, we describe a simple mechanism that automatically selects a suitable set of parameters for PDGEMM which leads to a minimum execution time in most cases.
Sascha Hunold, Thomas Rauber
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where EUROPAR
Authors Sascha Hunold, Thomas Rauber
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