A performance predictor for ultrascan supercomputer calculations

Haram Kim, Emre H. Brookes, Borries Demeler

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


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 publicationProceedings of the XSEDE 2015 Conference
Subtitle of host publicationScientific Advancements Enabled by Enhanced Cyberinfrastructure
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450337205
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

Publication series

NameACM International Conference Proceeding Series


Other4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015
Country/TerritoryUnited States
CitySt. Louis


  • Performance prediction
  • Science gateway
  • Ultrascan

ASJC Scopus subject areas

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


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