Run-Time Parallelization Optimization Techniques

  • Hao Yu
  • Lawrence Rauchwerger
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1863)


In this paper we first present several compiler techniques to reduce the overhead of run-time parallelization. We show how to use static control flow information to reduce the number of memory references that need to be traced at run-time. Then we introduce several methods designed specifically for the parallelization of sparse applications. We detail some heuristics on how to speculate on the type and data structures used by the original code and thus reduce the memory requirements for tracing the sparse access patterns without performing any additional work. Optimization techniques for the sparse reduction parallelization and speculative loop distribution conclude the paper.


Access Pattern Sparse Code Memory Reference Reduction Element Data Dependence Analysis 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Hao Yu
    • 1
  • Lawrence Rauchwerger
    • 1
  1. 1.Department of Computer ScienceTexas A&M UniversityCollege StationUSA

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