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Title: Performance Engineering Research Institute SciDAC-2 Enabling Technologies Institute Final Report

Abstract

Enhancing the performance of SciDAC applications on petascale systems has high priority within DOE SC. As we look to the future, achieving expected levels of performance on high-end com-puting (HEC) systems is growing ever more challenging due to enormous scale, increasing archi-tectural complexity, and increasing application complexity. To address these challenges, PERI has implemented a unified, tripartite research plan encompassing: (1) performance modeling and prediction; (2) automatic performance tuning; and (3) performance engineering of high profile applications. The PERI performance modeling and prediction activity is developing and refining performance models, significantly reducing the cost of collecting the data upon which the models are based, and increasing model fidelity, speed and generality. Our primary research activity is automatic tuning (autotuning) of scientific software. This activity is spurred by the strong user preference for automatic tools and is based on previous successful activities such as ATLAS, which has automatically tuned components of the LAPACK linear algebra library, and other re-cent work on autotuning domain-specific libraries. Our third major component is application en-gagement, to which we are devoting approximately 30% of our effort to work directly with Sci-DAC-2 applications. This last activity not only helps DOE scientists meet their near-term per-formance goals, butmore » also helps keep PERI research focused on the real challenges facing DOE computational scientists as they enter the Petascale Era.« less

Authors:
 [1]
  1. University of Utah
Publication Date:
Research Org.:
University of Utah
Sponsoring Org.:
USDOE
OSTI Identifier:
1157033
Report Number(s):
DOE-UTAH-03520
DOE Contract Number:
SC0003520
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; autotuning, SciDAC-2

Citation Formats

Hall, Mary. Performance Engineering Research Institute SciDAC-2 Enabling Technologies Institute Final Report. United States: N. p., 2014. Web. doi:10.2172/1157033.
Hall, Mary. Performance Engineering Research Institute SciDAC-2 Enabling Technologies Institute Final Report. United States. doi:10.2172/1157033.
Hall, Mary. Fri . "Performance Engineering Research Institute SciDAC-2 Enabling Technologies Institute Final Report". United States. doi:10.2172/1157033. https://www.osti.gov/servlets/purl/1157033.
@article{osti_1157033,
title = {Performance Engineering Research Institute SciDAC-2 Enabling Technologies Institute Final Report},
author = {Hall, Mary},
abstractNote = {Enhancing the performance of SciDAC applications on petascale systems has high priority within DOE SC. As we look to the future, achieving expected levels of performance on high-end com-puting (HEC) systems is growing ever more challenging due to enormous scale, increasing archi-tectural complexity, and increasing application complexity. To address these challenges, PERI has implemented a unified, tripartite research plan encompassing: (1) performance modeling and prediction; (2) automatic performance tuning; and (3) performance engineering of high profile applications. The PERI performance modeling and prediction activity is developing and refining performance models, significantly reducing the cost of collecting the data upon which the models are based, and increasing model fidelity, speed and generality. Our primary research activity is automatic tuning (autotuning) of scientific software. This activity is spurred by the strong user preference for automatic tools and is based on previous successful activities such as ATLAS, which has automatically tuned components of the LAPACK linear algebra library, and other re-cent work on autotuning domain-specific libraries. Our third major component is application en-gagement, to which we are devoting approximately 30% of our effort to work directly with Sci-DAC-2 applications. This last activity not only helps DOE scientists meet their near-term per-formance goals, but also helps keep PERI research focused on the real challenges facing DOE computational scientists as they enter the Petascale Era.},
doi = {10.2172/1157033},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Sep 19 00:00:00 EDT 2014},
month = {Fri Sep 19 00:00:00 EDT 2014}
}

Technical Report:

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