The CMU Task Parallel Program Suite (1994)
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@MISC{Dinda94thecmu,
author = {Peter Dinda and Thomas Gross and David O'Hallaron and Edward Segall and James Stichnoth and Jaspal Subhlok and Jon Webb and Bwolen Yang and et al.},
title = {The CMU Task Parallel Program Suite},
year = {1994}
}
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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, and airshed simulation. Complete source code for each example program is available from the authors.
