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Efficient runtime thread management for the nano-threads programming model

  • Dimitrios S. Nikolopoulos
  • Eleftherios D. Polychronopoulos
  • Theodore S. Papatheodorou
Worshop on Run- Time Systems for Parallel Programming Matthew Haines, University or Wyoming, USA Koen Langendoen, Vrije Universiteit, The Netherlands Greg Benson, University of California at Davis, USA
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1388)

Abstract

The nano-threads programming model was proposed to effectively integrate multiprogramming on shared-memory multiprocessors, with the exploitation of fine-grain parallelism from standard applications. A prerequisite for the applicability of the nano-threads programming model is the ability of the runtime environment to manage parallelism at any level of granularity with minimal overheads. In this paper, we introduce runtime techniques for efficient memory management and user-level scheduling in an experimental runtime system designed to support the nano-threads programming model. We evaluate the exploitation of processor affinity for the management of nano-thread contexts, and the use of hierarchical queues to implement user-level scheduling strategies for applications with inherent multilevel parallelism. The proposed mechanisms attempt to obtain maximum benefits from data locality on cache-coherent NUMA multiprocessors. Through the use of synthetic benchmarks, we find that our mechanism for memory management in the runtime system reduces overheads by 52% on average, compared to other known mechanisms. The use of hierarchical queues gives significant performance improvements between 17% and 40%, compared to scheduling strategies that use local queues.

Keywords

Task Graph Runtime System Parallel Loop Schedule Loop Local Pool 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Dimitrios S. Nikolopoulos
    • 1
  • Eleftherios D. Polychronopoulos
    • 1
  • Theodore S. Papatheodorou
    • 1
  1. 1.High Performance Computing Architectures Laboratory Department of Computer Engineering and InformaticsPatrasGreece

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