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Orthrus: a framework for implementing high-performance collective I/O in the multicore clusters

Published: 17 June 2013 Publication History

Abstract

This paper presents a framework, Orthrus, that can accommodate multiple collective-I/O implementations, each optimized for some performance aspects, and dynamically select the best performing one accordingly to current workload and system performance bottleneck. We have implemented Orthrus in the ROMIO library. Our experimental results with representative MPI-IO benchmarks show that Orthrus can significantly improve the performance of collective I/O under various workloads and system scenarios.

References

[1]
"FT: Discrete 3D Fast Fourier Transform", URL: http://www.nas.nasa.gov/publications/npb.html
[2]
R. Thakur, W. Gropp, and E. Lusk, "Data Sieving and Collective I/O in ROMIO", In Frontiers'99.
[3]
X. Zhang, S. Jiang, and K. Davis, "Making Resonance a Common Case: A High-Performance Implementation of Collective I/O on Parallel File Systems", In IPDPS'09.

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  1. Orthrus: a framework for implementing high-performance collective I/O in the multicore clusters

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      cover image ACM Conferences
      HPDC '13: Proceedings of the 22nd international symposium on High-performance parallel and distributed computing
      June 2013
      276 pages
      ISBN:9781450319102
      DOI:10.1145/2493123
      • General Chairs:
      • Manish Parashar,
      • Jon Weissman,
      • Program Chairs:
      • Dick Epema,
      • Renato Figueiredo
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      New York, NY, United States

      Publication History

      Published: 17 June 2013

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      Author Tags

      1. collective I/O
      2. parallel I/O
      3. parallel file systems

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      HPDC '13 Paper Acceptance Rate 20 of 131 submissions, 15%;
      Overall Acceptance Rate 166 of 966 submissions, 17%

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