High-performance conjugate-gradient benchmark: A new metric for ranking high-performance computing systems
Journal Article
·
· International Journal of High Performance Computing Applications
- Univ. of Tennessee, Knoxville, TN (United States). Dept. of Electrical Engineering and Computer Science; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Computer Science and Mathematics Division
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Scalable Algorithm Dept.
- Univ. of Tennessee, Knoxville, TN (United States). Dept. of Electrical Engineering and Computer Science
Here, we describe a new high-performance conjugate-gradient (HPCG) benchmark. HPCG is composed of computations and data-access patterns commonly found in scientific applications. HPCG strives for a better correlation to existing codes from the computational science domain and to be representative of their performance. Furthermore, HPCG is meant to help drive the computer system design and implementation in directions that will better impact future performance improvement.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- DOE Office of Science; USDOE
- Grant/Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1361299
- Alternate ID(s):
- OSTI ID: 1429716
- Journal Information:
- International Journal of High Performance Computing Applications, Journal Name: International Journal of High Performance Computing Applications Journal Issue: 1 Vol. 30; ISSN 1094-3420
- Publisher:
- SAGECopyright Statement
- Country of Publication:
- United States
- Language:
- English
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