Integrating the Nqueens Algorithm into a Parameterized Benchmark Suite

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 Centers High Performance Computers.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2016
Accession Number
AD1003173

Entities

People

  • Jamie K. Infantolino
  • Mikayla Malley

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Application Software
  • Central Processing Units
  • Computer Programming
  • Computer Programs
  • Computers
  • Computing System Architectures
  • Databases
  • Department Of Defense
  • Engineering
  • High Performance Computing
  • Information Science
  • Linear Algebra
  • Machine Learning
  • Military Research
  • Test And Evaluation
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Parallel and Distributed Computing.
  • Technical Research and Report Writing.