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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Bibliographic Details
Main Authors: Vibhatha Abeykoon, Supun Kamburugamuve, Chathura Widanage, Niranda Perera, Ahmet Uyar, Thejaka Amila Kanewala, Gregor von Laszewski, Geoffrey Fox
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Big Data
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2021.756041/full