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IJHPCA
2016
2016
High-performance conjugate-gradient benchmark: A new metric for ranking high-performance computing systems
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. HPCG is meant to help drive the computer system design and implementation in directions that will better impact future performance improvement. Keywords Preconditioned conjugate gradient, multigrid smoothing, additive Schwarz, HPC benchmarking, validation and verification
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| Added | 05 Apr 2016 |
| Updated | 05 Apr 2016 |
| Type | Journal |
| Year | 2016 |
| Where | IJHPCA |
| Authors | Jack Dongarra, Michael A. Heroux, Piotr Luszczek |
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