Scheduling computations with provably low synchronization overheads-Reference-Cited by-同舟云学术

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Scheduling computations with provably low synchronization overheads

Published:2021-10-21 Issue: Volume: Page:
ISSN:1094-6136
Container-title:Journal of Scheduling
language:en
Short-container-title:J Sched

Author:

Rito Guilherme^ORCID,Paulino Hervé^ORCID

Funder

Fundação para a Ciência e a Tecnologia

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Management Science and Operations Research,General Engineering,Software

Link

https://link.springer.com/content/pdf/10.1007/s10951-021-00706-6.pdf

Reference27 articles.

1. Acar, U. A., Blelloch, G. E., & Blumofe, R. D. (2002). The data locality of work stealing. Theory of Computing Systems, 35(3), 321–347. https://doi.org/10.1007/s00224-002-1057-3

2. Acar, U. A., Charguéraud, A., & Rainey, M. (2013). Scheduling parallel programs by work stealing with private deques. In ACM SIGPLAN symposium on principles and practice of parallel programming, PPoPP’13, February 23–27, 2013 (pp. 219–228). https://doi.org/10.1145/2442516.2442538

3. Agrawal, K., He, Y., Hsu, W., & Leiserson, C. E. (2007). Adaptive scheduling with parallelism feedback. In 21th International parallel and distributed processing symposium (IPDPS 2007), proceedings, 26–30 March 2007 (pp. 1–7). https://doi.org/10.1109/IPDPS.2007.370496

4. Agrawal, K., Leiserson, C. E., He, Y., & Hsu, W. (2008). Adaptive work-stealing with parallelism feedback. ACM Transactions on Computing Systems. https://doi.org/10.1145/1394441.1394443

5. Alon, N., & Spencer, J. (1992). The probabilistic method. Wiley.

Cited by 2 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. Efficient Synchronization-Light Work Stealing;Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures;2023-06-17

2. Synchronization Efficient Scheduling of Fine-grained Irregular Programs;2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP);2023-03

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