Selecting a Benchmark Suite to Profile High-Performance Computing (HPC) Machines
Author(s) -
Jamie K. Infantolino,
Song Park,
Dale R. Shires
Publication year - 2014
Language(s) - English
Resource type - Reports
DOI - 10.21236/ada612837
Subject(s) - suite , benchmark (surveying) , supercomputer , computer science , operating system , parallel computing , geography , cartography , archaeology
: New computing architectures raise questions of technical challenges and investment risks to the high-performance computer (HPC) community. Difficulties exist in determining runtime performance ahead of time and lowering the high costs associated with code migration. Furthermore, the popularity of heterogeneous systems has added complexity in assessing resource capability. A mechanism to quickly and accurately predict performance would be instrumental in assessing the risk of HPC center procurements. A sound metric for performance prediction will help to determine applicability and feasibility of new architectures. To realize the art of anticipating performance, we surveyed the literature on benchmarking suites. This report describes the central characteristics a benchmarking suite should exhibit and derives a list of pertinent requirements for diverse computational resources at the US Army Research Laboratory. Modern benchmark suites are analyzed with respect to the derived list of requirements. This study leads to a benchmark candidate that can be leveraged for a state-of-the-art and next-generation supercomputing facility.
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