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Improving Performance of Batch Point-to-Point Communications by Active Contention Reduction Through Congestion-Avoiding Message Scheduling

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Algorithms and Architectures for Parallel Processing (ICA3PP 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11944))

Abstract

Communication performance plays a crucial role in both the scalability and the time-to-solution of parallel applications. The share of links in modern high-performance computer networks inevitably introduces contention for communications involving multiple point-to-point messages, thus hinders their performance. Passive contention reduction such as the congestion control of the networks can mitigate network contention but with extra protocol cost, while application-level active contention reduction such as topology mapping techniques can only reduce contention of applications with static communication patterns. In this paper, we explore a different approach to actively reduce network contention through a congestion-avoiding message scheduling algorithm, namely CAMS. CAMS determines how to inject the messages in groups to reduce contention just in time before injecting them into the network, thus it is useful in applications with dynamic communication patterns. Experiments with a 2D halo-exchange benchmark on the Tianhe-2A supercomputer shows that it can improve communication performance up to 27% when messages get large. The proposed approach can be used in conjunction with topology mapping to further improve communication performance.

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Acknowledgement

The authors would like to thank the National Supercomputer Center in Guangzhou for providing the experimental platform and tremendous help on usage of the Tianhe-2A supercomputer. This research was supported partially by Science Challenge Project (No. TZ2016002), National Key R&D Program (No. 2016YFB0201300) and Defense Industrial Technology Development Program (C1520110002). The authors also thank the reviewers for their helpful comments.

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Authors and Affiliations

  1. Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing, 100088, China

    Jintao Peng, Zhang Yang & Qingkai Liu

  2. CAEP Software Center for High Performance Numerical Simulation, Beijing, 100088, China

    Zhang Yang & Qingkai Liu

Authors
  1. Jintao Peng
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  2. Zhang Yang
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  3. Qingkai Liu
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Corresponding author

Correspondence to Zhang Yang .

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Editors and Affiliations

  1. Department of Computer Science and Software Engineering, Swinburne University of Technology, Hawthorn, Melbourne, VIC, Australia

    Sheng Wen

  2. School of Computer Science, The University of Sydney, Camperdown, NSW, Australia

    Albert Zomaya

  3. Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada

    Laurence T. Yang

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Peng, J., Yang, Z., Liu, Q. (2020). Improving Performance of Batch Point-to-Point Communications by Active Contention Reduction Through Congestion-Avoiding Message Scheduling. In: Wen, S., Zomaya, A., Yang, L. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2019. Lecture Notes in Computer Science(), vol 11944. Springer, Cham. https://doi.org/10.1007/978-3-030-38991-8_27

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