An Efficient Task-Parallel Pipeline Programming Framework-Reference-Cited by-同舟云学术

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An Efficient Task-Parallel Pipeline Programming Framework

Published:2024-01-18 Issue: Volume:33 Page:95-106
ISSN:
Container-title:Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region
language:
Short-container-title:

Author:

Chiu Cheng-Hsiang¹^ORCID,Xiong Zhicheng²^ORCID,Guo Zizheng³^ORCID,Huang Tsung-Wei¹^ORCID,Lin Yibo³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Wisconsin-Madison, United States of America

2. Department of Computer Science and Technology, Tsinghua University, China

3. School of Integrated Circuits, Peking University, China

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3635035.3635037

Reference75 articles.

1. [1] Intel oneTBB. https://github.com/oneapi-src/oneTBB

2. [2] OpenMP. https://www.openmp.org/

3. [3] TAU 2018 Contest. https://sites.google.com/view/taucontest2018/home

4. Marco Aldinucci, Marco Danelutto, Peter Kilpatrick, and Massimo Torquati. 2017. FastFlow: High-Level and Efficient Streaming on Multicore. John Wiley and Sons, Ltd, Chapter 13, 261–280.

5. The PARSEC benchmark suite

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing Storage Efficiency Through Pipelining and Parallelization for Enhanced Data Deduplication;Journal of Circuits, Systems and Computers;2024-07-06

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