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Demand-Based Scheduling Priorities for Performance Optimisation of Stream Programs on Parallel Platforms

  • Conference paper
Algorithms and Architectures for Parallel Processing (ICA3PP 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8285))

Abstract

This paper introduces a heuristic-based scheduler to optimise the throughput and latency of stream programs with dynamic network structure. The novelty is the utilisation of positive and negative demands of the stream communications. It is a centralised approach to provide load balancing for stream programs with dynamic network structures. The approach is designed for shared-memory multi-core platforms. The experiments show that our scheduler performs significantly better than the reference implementation without demand considerations.

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Author information

Authors and Affiliations

  1. University of Hertfordshire, UK

    Vu Thien Nga Nguyen & Raimund Kirner

Authors
  1. Vu Thien Nga Nguyen
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  2. Raimund Kirner
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Editor information

Editors and Affiliations

  1. Institute of Computer Science, Cracow University of Technology, Warszawska 24, 31-155, Cracow, Poland

    Joanna Kołodziej

  2. Dipartimento di Ingegneria, Seconda Universita’ di Napoli, 81031, Aversa, CE, Italy

    Beniamino Di Martino

  3. DIMES and ICAR-CNR, c/o Università della Calabria, 87036, Rende, CS, Italy

    Domenico Talia

  4. College of Computing and Information Sciences, Rochester Institute of Technology, 14623, Rochester, NY, USA

    Kaiqi Xiong

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© 2013 Springer International Publishing Switzerland

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Nguyen, V.T.N., Kirner, R. (2013). Demand-Based Scheduling Priorities for Performance Optimisation of Stream Programs on Parallel Platforms. In: Kołodziej, J., Di Martino, B., Talia, D., Xiong, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2013. Lecture Notes in Computer Science, vol 8285. Springer, Cham. https://doi.org/10.1007/978-3-319-03859-9_31

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  • DOI: https://doi.org/10.1007/978-3-319-03859-9_31

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03858-2

  • Online ISBN: 978-3-319-03859-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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