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Computing the sparse matrix vector product using block-based kernels without zero padding on processors with AVX-512 instructions
The sparse matrix-vector product (SpMV) is a fundamental operation in many scientific applications from various fields. The High Performance Computing (HPC) community has therefore continuously invested a lot of effort to provide an efficient SpMV kernel on modern CPU architectures. Although it has...
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| Vydáno v: | PeerJ Comput Sci |
|---|---|
| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
PeerJ Inc.
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7924463/ https://ncbi.nlm.nih.gov/pubmed/33816805 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj-cs.151 |
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