A Heterogeneous Terascale Computing Cluster for the Development of GPU Optimized High Order Numerical Methods

Abstract

The main goal of the project was to establish a terascale parallel computer cluster on our campus to be shared by the Scientific Computing group, comprised of members of five departments and three colleges at the University of Massachusetts Dartmouth. One of the novel aspects of the proposed computer system is the use of many-core GPUs as hardware accelerators for large scale scientific computation. In The procured system is a 256 CPU IBM iDataPlex system which includes 32 Nvidia Fermi M2050 GPUs as accelerators. The system has been installed, configured and is currently in full operation at the University Data Center. Members of the Scientific Computing group (the investigators and their students) have been successful in 'porting' over their research codes to this new system and are currently in the process of performing detailed tests. Although the system has only been in operation for a few short months, the cluster was already used to perform detailed simulations of the gravitational wave emission from an extreme-mass-ratio black hole binary system. This work resulted in a fast publication in Physical Review. More work is ongoing in the fields of computational mathematics, civil engineering, mechanical engineering, physics, and geophysics.

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Document Details

Document Type
Technical Report
Publication Date
Nov 15, 2011
Accession Number
ADA566277

Entities

People

  • Sigal Gottlieb

Organizations

  • University of Massachusetts Dartmouth

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Black Holes
  • Civil Engineering
  • Computational Chemistry
  • Computations
  • Computers
  • Data Centers
  • Department Of Defense
  • Education
  • Emission
  • Engineering
  • Fluid Mechanics
  • Massachusetts
  • Mechanical Engineering
  • Physics
  • Simulations
  • Students
  • Universities

Fields of Study

  • Physics

Readers

  • Parallel and Distributed Computing.
  • Research Science/Academic Research