Toward a New Metric for Ranking High Performance Computing Systems

Technical Report · Sat Jun 01 04:00:00 EDT 2013

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

Heroux, Michael Allen ^[1]; Dongarra, Jack ^[2]

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1. Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
2. Univ. of Tennessee, Knoxville, TN (United States)

The High Performance Linpack (HPL), or Top 500, benchmark 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 Laboratories (SNL-NM), Albuquerque, NM (United States); Univ. of Tennessee, Knoxville, TN (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 1089988
• Report Number(s): SAND--2013-4744; 456352
• Country of Publication: United States
• Language: English