Detecting Performance Variance for Parallel Applications Without Source Code-Reference-Cited by-同舟云学术

Detecting Performance Variance for Parallel Applications Without Source Code

Published:2022-12-01 Issue:12 Volume:33 Page:4239-4255
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Zhai Jidong¹^ORCID,Zheng Liyan¹^ORCID,Zhang Feng²^ORCID,Tang Xiongchao¹,Wang Haojie¹,Yu Teng¹^ORCID,Jin Yuyang¹,Song Shuaiwen Leon³,Chen Wenguang¹^ORCID

Affiliation:

1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

2. Key Laboratory of Data Engineering and Knowledge Engineering, School of Information, Renmin University of China, Beijing, China

3. School of Computer Science, University of Sydney, Sydney, NSW, Australia

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation

SOAR fellowship

University of Sydney faculty startup funding

Australian Research Council

China Postdoctoral Science Foundation

ShuiMu Tsinghua Scholar Fellowship

Tsinghua University-Peking Union Medical College Hospital Initiative Scientific Research Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/71/9790018/09794597.pdf?arnumber=9794597

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