Toward a new metric for ranking high performance computing systems.
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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