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Title: Toward a new metric for ranking high performance computing systems.

Technical Report ·
DOI:https://doi.org/10.2172/1089988· OSTI ID:1089988

The High Performance Linpack (HPL), or Top 500, benchmark [1] is the most widely recognized and discussed metric for ranking high performance computing systems. However, HPL is increasingly unreliable as a true measure of system performance for a growing collection of important science and engineering applications. In this paper we describe a new high performance conjugate gradient (HPCG) benchmark. HPCG is composed of computations and data access patterns more commonly found in applications. Using HPCG we strive for a better correlation to real scientific application performance and expect to drive computer system design and implementation in directions that will better impact performance improvement.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); University of Tennessee,, Knoxville, TN
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
AC04-94AL85000
OSTI ID:
1089988
Report Number(s):
SAND2013-4744; 456352
Country of Publication:
United States
Language:
English

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