A performance predictor for ultrascan supercomputer calculations

Haram Kim, Emre H Brookes, Borries Demeler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A performance prediction model for the two-dimensional spectrum analysis algorithm of the UltraScan software was developed to aid in the prediction of calculation times on XSEDE supercomputer infrastructure. The efficiency profiles for various analysis types and analysis parameter combinations when used on Lonestar, Trestles and Stampede were determined by mining performance data from past analyses stored in the UltraScan LIMS database. The resulting model was validated against an analytical performance model. The model can be integrated into the existing UltraScan submission infrastructure to provide improved wall time estimates for the XSEDE supercomputer clusters to increase queuing efficiency.

Original languageEnglish (US)
Title of host publicationACM International Conference Proceeding Series
PublisherAssociation for Computing Machinery
Volume2015-July
ISBN (Print)9781450337205
DOIs
StatePublished - Jul 26 2015
Event4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015 - St. Louis, United States
Duration: Jul 26 2015Jul 30 2015

Other

Other4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015
CountryUnited States
CitySt. Louis
Period7/26/157/30/15

Keywords

  • Performance prediction
  • Science gateway
  • Ultrascan

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Kim, H., Brookes, E. H., & Demeler, B. (2015). A performance predictor for ultrascan supercomputer calculations. In ACM International Conference Proceeding Series (Vol. 2015-July). [a42] Association for Computing Machinery. https://doi.org/10.1145/2792745.2792787