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...

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Detalles Bibliográficos
Autores principales: Abeykoon, Vibhatha, Kamburugamuve, Supun, Widanage, Chathura, Perera, Niranda, Uyar, Ahmet, Kanewala, Thejaka Amila, von Laszewski, Gregor, Fox, Geoffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Big Data
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

Internet

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

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