The CMU Task Parallel Program Suite

Abstract

The idea of exploiting both task and data parallelism in programs is appealing. However, identifying realistic yet manageable example programs that can benefit from such a mix of task and data parallelism is a major problem for researchers. We address this problem by describing a suite of five applications from the domains of scientific, signal, and image processing that are of reasonable size, are representative of real codes, and can benefit from exploiting task and data parallelism. The suite includes fast Fourier transforms, narrowband tracking radar, multibaseline stereo imaging.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1994
Accession Number
ADA278951

Entities

People

  • David O'hallaron
  • Edward Segall
  • Jon Webb
  • Peter Dinda
  • Thomas Gross

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cameras
  • Chemical Reactions
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Data Sets
  • Fast Fourier Transforms
  • Fire Control Radar
  • Frequency Domain
  • Image Processing
  • Language
  • Procedures (Computers)
  • Radar
  • Signal Processing
  • Simulations

Readers

  • Computer Vision.
  • Parallel and Distributed Computing.