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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924463/ https://www.ncbi.nlm.nih.gov/pubmed/33816805 http://dx.doi.org/10.7717/peerj-cs.151 |