Integrating the Nqueens Algorithm into a Parameterized Benchmark Suite

Report No. ARL-TR-7585
Authors: Jamie K Infantolino; Mikayla Malley
Date/Pages: February 2016; 28 pages
Abstract: With heterogeneous computing increasingly a prevalent component in the science and engineering fields, benchmarking has become even more important for evaluation of each new architecture. The main issue is having a benchmarking code that uses sound benchmarking methodologies that accurately predict performance and provide a fair comparison between architectures. This technical report describes methodologies that have been developed at the US Army Research Laboratory (ARL). It examines the procedure on how to implement a new benchmark application program that will be added to the suite already in development. Also discussed is the algorithm, its relevance to US Army applications, its implementation, and the results from running it on the algorithm on the ARL Department of Defense Supercomputing Resource Center's High Performance Computers
Distribution: Approved for public release
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Last Update / Reviewed: February 1, 2016