A network contention model for the extreme-scale simulator

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

2 Scopus citations

Abstract

The Extreme-scale Simulator (xSim) is a performance investigation toolkit for high-performance computing (HPC) hardware/software co-design. It permits running a HPC application with millions of concurrent execution threads, while observing its performance in a simulated extreme-scale system. This paper details a newly developed network modeling feature for xSim, eliminating the shortcomings of the existing network modeling capabilities. The approach takes a different path for implementing network contention and bandwidth capacity modeling using a less synchronous and accurate enough model design. With the new network modeling feature, xSim is able to simulate on-chip and on-node networks with reasonable accuracy and overheads.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference Modelling, Identification and Control, MIC 2015
PublisherActa Press
Pages139-146
Number of pages8
ISBN (Electronic)9780889869752
DOIs
StatePublished - 2015
Event2015 IASTED International Conference on Modelling, Identification and Control, MIC 2015 - Innsbruck, Austria
Duration: Feb 16 2015Feb 17 2015

Publication series

NameProceedings of the IASTED International Conference on Modelling, Identification and Control
ISSN (Print)1025-8973

Conference

Conference2015 IASTED International Conference on Modelling, Identification and Control, MIC 2015
Country/TerritoryAustria
CityInnsbruck
Period02/16/1502/17/15

Funding

This work was sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory (ORNL) and the U.S. Department of Energy's Office of Advanced Scientific Computing Research. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). This work was sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory (ORNL) and the U.S. Department of Energy’s Office of Advanced Scientific Computing Research.

FundersFunder number
DOE Public Access Plan
United States Government
U.S. Department of Energy
Advanced Scientific Computing ResearchDE-AC05-00OR22725
Oak Ridge National Laboratory

    Keywords

    • Computer network modeling
    • High-performance computing
    • Parallel discrete event simulation
    • Performance evaluation

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