Characterization of scientific workloads on systems with multi-core processors

Sadaf R. Alam, Richard F. Barrett, Jeffery A. Kuehn, Philip C. Roth, Jeffrey S. Vetter

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

95 Scopus citations

Abstract

Multi-core processors are planned for virtually all next-generation HPC systems. In a preliminary evaluation of AMD Opteron Dual-Core processor systems, we investigated the scaling behavior of a set of micro-benchmarks, kernels, and applications. In addition, we evaluated a number of processor affinity techniques for managing memory placement on these multi-core systems. We discovered that an appropriate selection of MPI task and memory placement schemes can result in over 25% performance improvement for key scientific calculations. We collected detailed performance data for several large-scale scientific applications. Analyses of the application performance results confirmed our micro-benchmark and scaling results.

Original languageEnglish
Title of host publicationProceedings of the 2006 IEEE International Symposium on Workload Characterization, IISWC - 2006
Pages225-236
Number of pages12
DOIs
StatePublished - 2006
EventIEEE International Symposium on Workload Characterization, IISWC-2006 - San Jose, CA, United States
Duration: Oct 25 2006Oct 27 2006

Publication series

NameProceedings of the 2006 IEEE International Symposium on Workload Characterization, IISWC - 2006

Conference

ConferenceIEEE International Symposium on Workload Characterization, IISWC-2006
Country/TerritoryUnited States
CitySan Jose, CA
Period10/25/0610/27/06

Keywords

  • AMD opteron
  • Micro-benchmarking
  • Multi-core processor
  • Performance characterization
  • Scientific applications

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