Performance prediction for random write reductions: A case study in modeling shared memory programs

Ruoming Jin, Gagan Agrawal

Research output: Contribution to conferencePaperpeer-review

5 Scopus citations

Abstract

A new application for parallel performance prediction was identified. A detailed analytical model for predicting performance and choosing the best parallelization strategy was developed. The resultant model effectively captures the impact of memory hierarchy as well as the factors that limit parallelism.

Original languageEnglish (US)
Pages117-128
Number of pages12
DOIs
StatePublished - 2002
Externally publishedYes
EventACM SIGMETRICS 2002 International Conference on Measurement and Modeling of Computer Systems - Marina Del Rey, CA, United States
Duration: Jun 15 2002Jun 19 2002

Conference

ConferenceACM SIGMETRICS 2002 International Conference on Measurement and Modeling of Computer Systems
Country/TerritoryUnited States
CityMarina Del Rey, CA
Period6/15/026/19/02

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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