Multicore and accelerator development for a leadership-class stellar astrophysics code

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15 Scopus citations

Abstract

We describe recent development work on the core-collapse supernova code CHIMERA. CHIMERA has consumed more than 100 million cpu-hours on Oak Ridge Leadership Computing Facility (OLCF) platforms in the past 3 years, ranking it among the most important applications at the OLCF (1). Most of the work described has been focused on exploiting the multicore nature of the current platform (Jaguar) via, e.g., multithreading using OpenMP. In addition, we have begun a major effort to marshal the computational power of GPUs with CHIMERA. The impending upgrade of Jaguar to Titan - a 20+ PF machine with an NVIDIA GPU on many nodes - makes this work essential.

Original languageEnglish
Title of host publicationApplied Parallel and Scientific Computing - 11th International Conference, PARA 2012, Revised Selected Papers
Pages92-106
Number of pages15
DOIs
StatePublished - 2013
Event11th International Conference on Applied Parallel and Scientific Computing, PARA 2012 - Helsinki, Finland
Duration: Jun 10 2012Jun 13 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7782 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Applied Parallel and Scientific Computing, PARA 2012
Country/TerritoryFinland
CityHelsinki
Period06/10/1206/13/12

Keywords

  • GPU
  • OpenACC
  • OpenMP
  • stellar astrophysics
  • supernovae

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