Performance Engineering Research Institute SciDAC-2 Enabling Technologies Institute (Final Report)

Technical Report · Sat Apr 20 04:00:00 EDT 2013

DOI:https://doi.org/10.2172/1094829· OSTI ID:1094829

Lucas, Robert ^[1]

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1. Univ. of Southern California, Los Angeles, CA (United States); University of Southern California - Information Sciences Institute (ISI)

Enhancing the performance of SciDAC applications on petascale systems had high priority within DOE SC at the start of the second phase of the SciDAC program, SciDAC-2, as it continues to do so today. Achieving expected levels of performance on high-end computing (HEC) systems is growing ever more challenging due to enormous scale, increasing architectural complexity, and increasing application complexity. To address these challenges, the University of Southern California's Information Sciences Institute organized the Performance Engineering Research Institute (PERI). PERI implemented a unified, tripartite research plan encompassing: (1) performance modeling and prediction; (2) automatic performance tuning; and (3) performance engineering of high profile applications. Within PERI, USC's primary research activity was automatic tuning (autotuning) of scientific software. This activity was spurred by the strong user preference for automatic tools and was based on previous successful activities such as ATLAS, which automatically tuned components of the LAPACK linear algebra library, and other recent work on autotuning domain-specific libraries. Our other major component was application engagement, to which we devoted approximately 30% of our effort to work directly with SciDAC-2 applications. This report is a summary of the overall results of the USC PERI effort.

• Research Organization: Univ. of Southern California, Los Angeles, CA (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
• DOE Contract Number: FC02-06ER25765
• OSTI ID: 1094829
• Report Number(s): DOE/FC02--06ER25765
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING
High Performance Computing and Automatic Performance Tuning