PDAWL: Profile-Based Iterative Dynamic Adaptive WorkLoad Balance on Heterogeneous Architectures-Reference-Cited by-同舟云学术

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PDAWL: Profile-Based Iterative Dynamic Adaptive WorkLoad Balance on Heterogeneous Architectures

Published:2020 Issue: Volume: Page:145-162
ISSN:0302-9743
Container-title:Job Scheduling Strategies for Parallel Processing
language:
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Author:

Geng Tongsheng,Amaris Marcos,Zuckerman Stéphane,Goldman Alfredo,Gao Guang R.,Gaudiot Jean-Luc

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-63171-0_8

Reference26 articles.

1. Arteaga, J., Zuckerman, S., Gao, G.R.: Generating fine-grain multithreaded applications using a multigrain approach. ACM Trans. Archit. Code Optim. 14(4), 1–47 (2017). https://doi.org/10.1145/3155288

2. Barnes, B.J., Rountree, B., Lowenthal, D.K., Reeves, J., de Supinski, B., Schulz, M.: A regression-based approach to scalability prediction. In: Proceedings of the 22Nd Annual International Conference on Supercomputing, pp. 368–377. ICS 2008, ACM, New York, USA (2008). https://doi.org/10.1145/1375527.1375580

3. Chen, Q., Guo, M.: Contention and locality-aware work-stealing for iterative applications in multi-socket computers. IEEE Trans. Comput. 67(6), 784–798 (2018). https://doi.org/10.1109/TC.2017.2783932

4. Chow, E., Anzt, H., Scott, J., Dongarra, J.: Using jacobi iterations and blocking for solving sparse triangular systems in incomplete factorization preconditioning. J. Parallel Distrib. Comput. 119, 219–230 (2018)

5. Danalis, A., et al.: The scalable heterogeneous computing (SHOC) benchmark suite. In: Proceedings of the 3rd Workshop on General-Purpose Computation on Graphics Processing Units, pp. 63–74. GPGPU-3, ACM, New York, USA (2010). https://doi.org/10.1145/1735688.1735702, http://doi.acm.org/10.1145/1735688.1735702

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