HPCG Benchmark: a New Metric for Ranking High Performance Computing Systems
Jack Dongarra and Michael A. Heroux and Piotr Luszczek
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.
Published 2015-11-09 05:00:00 as ut-eecs-15-736 (ID:594)