Simulation planning using component based cost model

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

1 Scopus citations

Abstract

Successful simulations for scientific discovery on high-performance computing platforms require careful planning, including verification of specific application configuration and runtime parameters, estimation of resource requirements, and steering and monitoring of the simulation. However, simulation planning is an aspect of scientific computing that is extremely sparse in available literature or training. In this paper we focus on the resource management aspect of such planning through formulation of a component-based cost model. We illustrate the methodology and formulation through FLASH, a highly configurable simulation code used in multiple scientific domains.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages683-688
Number of pages6
ISBN (Electronic)9781728135106
DOIs
StatePublished - May 2019
Event33rd IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019 - Rio de Janeiro, Brazil
Duration: May 20 2019May 24 2019

Publication series

NameProceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019

Conference

Conference33rd IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019
Country/TerritoryBrazil
CityRio de Janeiro
Period05/20/1905/24/19

Funding

This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research and Office of Nuclear Physics, Scientific Discovery through Advanced Computing (SciDAC) program. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725.

Keywords

  • Application configuration
  • Cost model
  • Scientific computing
  • Simulation planning

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