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Dynamic Load Partitioning Strategies for Managing Data of Space and Time Heterogeneity in Parallel SAMR Applications

  • Xiaolin Li
  • Manish Parashar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2790)

Abstract

This paper presents the design and experimental evaluation of two dynamic load partitioning and balancing strategies for parallel Structured Adaptive Mesh Refinement (SAMR) applications: the Level-based Partitioning Algorithm (LPA) and the Hierarchical Partitioning Algorithm (HPA). These techniques specifically address the computational and communication heterogeneity across refinement levels of the adaptive grid hierarchy underlying these methods. An experimental evaluation of the partitioning schemes is also presented.

Keywords

Dynamic Load Balancing Parallel and Distributed Computing Structured Adaptive Mesh Refinement Scientific Computing 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Xiaolin Li
    • 1
  • Manish Parashar
    • 1
  1. 1.The Applied Software Systems Laboratory, Department of Electrical & Computer EngineeringRutgers UniversityPiscatawayUSA

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