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| Title | HPCG Benchmark: a New Metric for Ranking High Performance Computing Systems |
| Publication Type | Tech Report |
| Year of Publication | 2015 |
| Authors | Dongarra, J., M. A. Heroux, and P. Luszczek |
| Technical Report Series Title | University of Tennessee Computer Science Technical Report |
| Number | ut-eecs-15-736 |
| Date Published | 2015-01 |
| Institution | University of Tennessee |
| Keywords | Additive Schwarz, HPC Benchmarking, Multigrid smoothing, Preconditioned Conjugate Gradient, Validation and Verification |
| Abstract | 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 be representative of their performance. HPCG is meant to help drive the computer system design and implementation in directions that will better impact future performance improvement. |
| URL | http://www.eecs.utk.edu/resources/library/file/1047/ut-eecs-15-736.pdf |
