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Proceedings Paper

High-level GPU computing with jacket for MATLAB and C/C++
Author(s): Gallagher Pryor; Brett Lucey; Sandeep Maddipatla; Chris McClanahan; John Melonakos; Vishwanath Venugopalakrishnan; Krunal Patel; Pavan Yalamanchili; James Malcolm
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Paper Abstract

We describe a software platform for the rapid development of general purpose GPU (GPGPU) computing applications within the MATLAB computing environment, C, and C++: Jacket. Jacket provides thousands of GPU-tuned function syntaxes within MATLAB, C, and C++, including linear algebra, convolutions, reductions, and FFTs as well as signal, image, statistics, and graphics libraries. Additionally, Jacket includes a compiler that translates MATLAB and C++ code to CUDA PTX assembly and OpenGL shaders on demand at runtime. A facility is also included to compile a domain specific version of the MATLAB language to CUDA assembly at build time. Jacket includes the first parallel GPU FOR-loop construction and the first profiler for comparative analysis of CPU and GPU execution times. Jacket provides full GPU compute capability on CUDA hardware and limited, image processing focused compute on OpenGL/ES (2.0 and up) devices for mobile and embedded applications.

Paper Details

Date Published: 20 May 2011
PDF: 6 pages
Proc. SPIE 8060, Modeling and Simulation for Defense Systems and Applications VI, 806005 (20 May 2011); doi: 10.1117/12.884899
Show Author Affiliations
Gallagher Pryor, AccelerEyes (United States)
Brett Lucey, AccelerEyes (United States)
Sandeep Maddipatla, AccelerEyes (United States)
Chris McClanahan, AccelerEyes (United States)
John Melonakos, AccelerEyes (United States)
Vishwanath Venugopalakrishnan, AccelerEyes (United States)
Krunal Patel, AccelerEyes (United States)
Pavan Yalamanchili, AccelerEyes (United States)
James Malcolm, AccelerEyes (United States)

Published in SPIE Proceedings Vol. 8060:
Modeling and Simulation for Defense Systems and Applications VI
Eric J. Kelmelis, Editor(s)

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