A Dynamic Load Balancing Approach with SMPSuperscalar and MPI

  • Marta Garcia
  • Julita Corbalan
  • Rosa Maria Badia
  • Jesus Labarta
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7174)

Abstract

In this paper we are going to compare the performance obtained with the hybrid programming models MPI+SMPSs and MPI+OpenMP, especially when executing with a Dynamic Load Balancing (DLB) library. But first we will describe the SMPSuperscalar programming model and how it hybridizes nicely with MPI. We are also explaining the load balancing algorithm for hybrid applications, LeWI, and how it can improve the performance of hybrid applications. We will also analyze why SMPSs is able to exploit the benefits of LeWI further than OpenMP. The performance results will show not only how the performance of hybrid applications can be improved with LeWI but also the benefit of using a hybrid programming model MPI+SMPSs for load balancing instead of MPI+OpenMP.

Keywords

Task Graph Parallel Region Dynamic Load Balance Shared Memory System Work Thread 
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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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Marta Garcia
    • 1
    • 2
  • Julita Corbalan
    • 1
    • 2
  • Rosa Maria Badia
    • 1
    • 3
  • Jesus Labarta
    • 1
    • 2
  1. 1.Barcelona Supercomputing Center (BSC)BarcelonaSpain
  2. 2.Universitat Politecnica de Catalunya (UPC)BarcelonaSpain
  3. 3.Artificial Intelligence Research Institute (IIIA) Spanish National Research Council (CSIC)Spain

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