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HPTMT Parallel Operators for High Performance Data Science and Data Engineering
Data-intensive applications are becoming commonplace in all science disciplines. They are comprised of a rich set of sub-domains such as data engineering, deep learning, and machine learning. These applications are built around efficient data abstractions and operators that suit the applications of...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8860100/ https://www.ncbi.nlm.nih.gov/pubmed/35198971 http://dx.doi.org/10.3389/fdata.2021.756041 |