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Title: PDS: A Performance Database Server

Abstract

The process of gathering, archiving, and distributing computer benchmark data is a cumbersome task usually performed by computer users and vendors with little coordination. Most important, there is no publicly available central depository of performance data for all ranges of machines from personal computers to supercomputers. We present an Internet-accessible performance database server (PDS) that can be used to extract current benchmark data and literature. As an extension to the X-Windows-based user interface (Xnetlib) to the Netlib archival system, PDS provides an on-line catalog of public domain computer benchmarks such as the LINPACK benchmark, Perfect benchmarks, and the NAS parallel benchmarks. PDS does not reformat or present the benchmark data in any way that conflicts with the original methodology of any particular benchmark; it is thereby devoid of any subjective interpretations of machine performance. We believe that all branches (research laboratories, academia, and industry) of the general computing community can use this facility to archive performance metrics and make them readily available to the public. PDS can provide a more manageable approach to the development and support of a large dynamic database of published performance metrics.

Authors:
 [1];  [2];  [1];  [1]
  1. Department of Computer Science, University of Tennessee, Knoxville, TN 37996, USA
  2. Department of Computer Science, University of Tennessee, Knoxville, TN 37996, USA, Mathematical Sciences Section, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Publication Date:
Sponsoring Org.:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
OSTI Identifier:
1197686
Grant/Contract Number:  
DAAL03 -92-G-0284
Resource Type:
Published Article
Journal Name:
Scientific Programming
Additional Journal Information:
Journal Name: Scientific Programming Journal Volume: 3 Journal Issue: 2; Journal ID: ISSN 1058-9244
Publisher:
Hindawi Publishing Corporation
Country of Publication:
Egypt
Language:
English

Citation Formats

Berry, Michael W., Dongarra, Jack J., Larose, Brian H., and Letsche, Todd A. PDS: A Performance Database Server. Egypt: N. p., 1994. Web. doi:10.1155/1994/391804.
Berry, Michael W., Dongarra, Jack J., Larose, Brian H., & Letsche, Todd A. PDS: A Performance Database Server. Egypt. doi:10.1155/1994/391804.
Berry, Michael W., Dongarra, Jack J., Larose, Brian H., and Letsche, Todd A. Sat . "PDS: A Performance Database Server". Egypt. doi:10.1155/1994/391804.
@article{osti_1197686,
title = {PDS: A Performance Database Server},
author = {Berry, Michael W. and Dongarra, Jack J. and Larose, Brian H. and Letsche, Todd A.},
abstractNote = {The process of gathering, archiving, and distributing computer benchmark data is a cumbersome task usually performed by computer users and vendors with little coordination. Most important, there is no publicly available central depository of performance data for all ranges of machines from personal computers to supercomputers. We present an Internet-accessible performance database server (PDS) that can be used to extract current benchmark data and literature. As an extension to the X-Windows-based user interface (Xnetlib) to the Netlib archival system, PDS provides an on-line catalog of public domain computer benchmarks such as the LINPACK benchmark, Perfect benchmarks, and the NAS parallel benchmarks. PDS does not reformat or present the benchmark data in any way that conflicts with the original methodology of any particular benchmark; it is thereby devoid of any subjective interpretations of machine performance. We believe that all branches (research laboratories, academia, and industry) of the general computing community can use this facility to archive performance metrics and make them readily available to the public. PDS can provide a more manageable approach to the development and support of a large dynamic database of published performance metrics.},
doi = {10.1155/1994/391804},
journal = {Scientific Programming},
number = 2,
volume = 3,
place = {Egypt},
year = {1994},
month = {1}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1155/1994/391804

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