Optimizing the performance of parallel applications on a 5D torus via task mapping-Reference-Cited by-同舟云学术

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Optimizing the performance of parallel applications on a 5D torus via task mapping

Published:2014-12 Issue: Volume: Page:
ISSN:
Container-title:2014 21st International Conference on High Performance Computing (HiPC)
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Author:

Bhatele Abhinav,Jain Nikhil,Isaacs Katherine E.,Buch Ronak,Gamblin Todd,Langer Steven H.,Kale Laxmikant V.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7113430/7116705/07116706.pdf?arnumber=7116706

Cited by 6 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. Dynamic Resource Management for Machine Learning Pipeline Workloads;SN Computer Science;2023-08-30

2. A Deep Reinforcement Learning Method for Solving Task Mapping Problems with Dynamic Traffic on Parallel Systems;The International Conference on High Performance Computing in Asia-Pacific Region;2021-01-20

3. Network Partitioning and Avoidable Contention;Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures;2020-07-06

4. Topology and computational-power aware tile mapping of perfectly nested loops with dependencies on distributed systems;Journal of Parallel and Distributed Computing;2019-07

5. A new power efficient high performance interconnection network for many-core processors;Journal of Parallel and Distributed Computing;2017-03

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