Skip to main navigation Skip to search Skip to main content

Improve simulation efficiency using statistical benchmark subsetting - An ImplantBench case study

  • University of Pittsburgh

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

10 Scopus citations

Abstract

Motivated by excessively high benchmarking efforts caused by rapidly expanding design space and prevailing practices based on ad-hoc and subjective schemes, this paper seeks to improve simulation efficiency by proposing a novel methodology that combines two statistical analyses and one quantitative heuristic capable of subsetting a given benchmark suite based on the targeted processor configuration and desired variance coverage. We demonstrate the usage and effectiveness of the proposed technique by conducting a thorough case study on ImplantBench suite evaluating high/mid/low-end machine configurations modeled after three commercial embedded processors.

Original languageEnglish
Title of host publicationProceedings of the 45th Design Automation Conference, DAC
Pages970-973
Number of pages4
DOIs
StatePublished - 2008
Event45th Design Automation Conference, DAC - Anaheim, CA, United States
Duration: Jun 8 2008Jun 13 2008

Publication series

NameProceedings - Design Automation Conference
ISSN (Print)0738-100X

Conference

Conference45th Design Automation Conference, DAC
Country/TerritoryUnited States
CityAnaheim, CA
Period06/8/0806/13/08

Keywords

  • Benchmark
  • Cluster
  • Multivariate statistical analysis
  • Subset

Fingerprint

Dive into the research topics of 'Improve simulation efficiency using statistical benchmark subsetting - An ImplantBench case study'. Together they form a unique fingerprint.

Cite this