Hybrid Cloud and HPC Approach to High-Performance Dataframes-Reference-Cited by-同舟云学术

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Hybrid Cloud and HPC Approach to High-Performance Dataframes

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data (Big Data)
language:
Short-container-title:

Author:

Shan Kaiying¹,Perera Niranda²,Lenadora Damitha³,Zhong Tianle¹,Kumar Sarker Arup¹,Kamburugamuve Supun⁴,Amila Kanewela Thejaka⁴,Widanage Chathura⁴,Fox Geoffrey¹

Affiliation:

1. University of Virginia,Charlottesville,VA,USA,22904

2. Indiana University,Luddy School of Informatics, Computing, and Engineering,Bloomington,IN,USA,47408

3. University of Illinois Urbana-Champaign,Urbana,IL,USA,61801

4. Indiana University Alumni,Bloomington,IN,USA,47405

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020958.pdf?arnumber=10020958

Reference24 articles.

1. High performance dataframes from parallel processing patterns;perera,2022

2. cuDFx2019;s documentation! x2014; cudf 22.08.00 documentation — docs.rapids.ai,0

3. Gloo,0

4. PEP 311 x2013; Simplified Global Interpreter Lock Acquisition for Extensions — peps.python.org — peps.python.org;hammond,2003

5. Cylon experiments,0

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