TY - JOUR
T1 - PDS
T2 - A performance database server
AU - Berry, Michael W.
AU - Dongarra, Jack J.
AU - Larose, Brian H.
AU - Larose, Todd A.
PY - 1994
Y1 - 1994
N2 - 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 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.
AB - 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 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.
UR - http://www.scopus.com/inward/record.url?scp=84974765198&partnerID=8YFLogxK
U2 - 10.3233/SPR-1994-3202
DO - 10.3233/SPR-1994-3202
M3 - Article
AN - SCOPUS:84974765198
SN - 1058-9244
VL - 3
SP - 147
EP - 156
JO - Scientific Programming
JF - Scientific Programming
IS - 2
ER -