Graphics Processing Unit (GPU) Performance on an N-Body Problem

Abstract

The objective of this study is to evaluate the performance of clusters of Nvidia graphics processing units on an N-body problem derived from the computation of vector potentials. Two clusters are used for this purpose. The first is a 2-node, Intel Xeon system with a single Tesla S870 system cross connected to each node. The second is a 20-node Opteron system with one Quadro FX 5600 GPU per node. The results show a significant increase in performance when GPUs accelerate the computation. With 16 GPUs and a sufficiently large problem, an estimated 3 teraflops is achieved.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2009
Accession Number
ADA512706

Entities

People

  • Pat Collins

Organizations

  • Lockheed Martin

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Central Processing Units
  • Computational Fluid Dynamics
  • Computational Science
  • Computations
  • Computer Programming
  • Computers
  • Department Of Defense
  • Floating Point Operations
  • Fluid Dynamics
  • Graphics
  • Graphics Processing Unit
  • Mathematical Analysis
  • Military Research
  • N Body Problem
  • Networks
  • Software Development

Readers

  • Parallel and Distributed Computing.