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DGEMM performance is data-dependent

Abstract : The DGEMM function is a widely used implementation of the matrix product. While the asymptotic complexity of the algorithm only depends on the sizes of the matrices, we show that the performance is significantly impacted by the matrices content. Our experiments show that this may be due to bit flips in the CPU causing an energy consumption overhead.
Keywords : DGEMM DVFS Performance BLAS
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Reports (Research report)
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Contributor : Tom Cornebize Connect in order to contact the contributor
Submitted on : Wednesday, December 11, 2019 - 4:08:15 PM
Last modification on : Wednesday, October 26, 2022 - 8:14:57 AM
Long-term archiving on: : Thursday, March 12, 2020 - 1:46:56 PM


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  • HAL Id : hal-02401760, version 1
  • ARXIV : 1912.05381


Tom Cornebize, Arnaud Legrand. DGEMM performance is data-dependent. [Research Report] RR-9310, Université Grenoble Alpes; Inria; CNRS. 2019. ⟨hal-02401760⟩



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