Performance Instrumentation and Compiler Optimizations for MPI/OpenMP Applications

  • Oscar Hernandez
  • Fengguang Song
  • Barbara Chapman
  • Jack Dongarra
  • Bernd Mohr
  • Shirley Moore
  • Felix Wolf
Conference paper

DOI: 10.1007/978-3-540-68555-5_22

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4315)
Cite this paper as:
Hernandez O. et al. (2008) Performance Instrumentation and Compiler Optimizations for MPI/OpenMP Applications. In: Mueller M.S., Chapman B.M., de Supinski B.R., Malony A.D., Voss M. (eds) OpenMP Shared Memory Parallel Programming. Lecture Notes in Computer Science, vol 4315. Springer, Berlin, Heidelberg

Abstract

This article describes how the integration of the OpenUH OpenMP compiler with the KOJAK performance analysis tool can assist developers of OpenMP and hybrid codes in optimizing their applications with as little user intervention as possible. In particular, we (i) describe how the compiler’s ability to automatically instrument user code down to the flow-graph level can improve the location of performance problems and (ii) outline how the performance feedback provided by KOJAK will direct the compiler’s optimization decisions in the future. To demonstrate our methodology, we present experimental results showing how reasons for the performance slow down of the ASPCG benchmark could be identified.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Oscar Hernandez
    • 1
  • Fengguang Song
    • 2
  • Barbara Chapman
    • 1
  • Jack Dongarra
    • 2
  • Bernd Mohr
    • 3
  • Shirley Moore
    • 2
  • Felix Wolf
    • 3
  1. 1.Computer Science DepartmentUniversity of HoustonHoustonUSA
  2. 2.Computer Science Department KnoxvilleUniversity of TennesseeTennesseeUSA
  3. 3.Forschungszentrum JülichZAMJülichGermany

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