GPULib: GPU Computing in High-Level Languages

GPULib helps scientists and engineers take advantage of GPUs from within high-level programming environments without requiring any detailed knowledge of the GPU architecture.

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Bibliographic Details
Published inComputing in science & engineering Vol. 10; no. 5; pp. 70 - 73
Main Authors Messmer, Peter, Mullowney, Paul J., Granger, Brian E.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.09.2008
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Architecture
Computation
Computer architecture
Costs
Distributed computing
GPU
GPULib
Graphics
High level languages
Kernel
Matlab
Programming
Programming environments
scientific programming
Scientists
Software algorithms
Tellurium
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More Information
Summary:GPULib helps scientists and engineers take advantage of GPUs from within high-level programming environments without requiring any detailed knowledge of the GPU architecture.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:1521-9615
1558-366X
DOI:10.1109/MCSE.2008.135