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Sparse Linear Algebra on AMD and NVIDIA GPUs – The Race Is On
Efficiently processing sparse matrices is a central and performance-critical part of many scientific simulation codes. Recognizing the adoption of manycore accelerators in HPC, we evaluate in this paper the performance of the currently best sparse matrix-vector product (SpMV) implementations on high...
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| Veröffentlicht in: | High Performance Computing |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7295357/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50743-5_16 |
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