High Performance Dataframes from Parallel Processing Patterns-Reference-Cited by-同舟云学术

High Performance Dataframes from Parallel Processing Patterns

Published:2023 Issue: Volume: Page:291-304
ISSN:0302-9743
Container-title:Parallel Processing and Applied Mathematics
language:
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Author:

Perera Niranda^ORCID,Kamburugamuve Supun,Widanage Chathura,Abeykoon Vibhatha,Uyar Ahmet,Shan Kaiying,Maithree Hasara,Lenadora Damitha,Kanewala Thejaka Amila,Fox Geoffrey

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-30442-2_22

Reference24 articles.

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2. Abeykoon, V., et al.: Streaming machine learning algorithms with big data systems. In: 2019 IEEE International Conference on Big Data (Big Data), pp. 5661–5666. IEEE (2019)

3. Abeykoon, V., et al.: Hptmt parallel operators for high performance data science & data engineering. arXiv preprint arXiv:2108.06001 (2021)

4. Abeykoon, V., et al.: Data engineering for HPC with python. In: 2020 IEEE/ACM 9th Workshop on Python for High-Performance and Scientific Computing (PyHPC), pp. 13–21. IEEE (2020)

5. Babuji, Y.N., et al.: Parsl: scalable parallel scripting in python. In: IWSG (2018)

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