Parallel Computing Experiences with CUDA

The CUDA programming model provides a straightforward means of describing inherently parallel computations, and NVIDIA's Tesla GPU architecture delivers high computational throughput on massively parallel problems. This article surveys experiences gained in applying CUDA to a diverse set of pro...

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Bibliographic Details
Published inIEEE MICRO Vol. 28; no. 4; pp. 13 - 27
Main Authors Garland, M., Le Grand, S., Nickolls, J., Anderson, J., Hardwick, J., Morton, S., Phillips, E., Yao Zhang, Volkov, V.
Format Journal Article
LanguageEnglish
Published Los Alamitos IEEE 01.07.2008
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Architecture
Central Processing Unit
Central processing units
Codes
Computation
Computer architecture
Computer graphics
Computer programming
Concurrent computing
Kernel
Mathematical models
Parallel processing
Parallel programming
Programming
Programming profession
Running
Surveys
Throughput
Online AccessGet full text
ISSN0272-1732
1937-4143
DOI10.1109/MM.2008.57

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Summary:The CUDA programming model provides a straightforward means of describing inherently parallel computations, and NVIDIA's Tesla GPU architecture delivers high computational throughput on massively parallel problems. This article surveys experiences gained in applying CUDA to a diverse set of problems and the parallel speedups over sequential codes running on traditional CPU architectures attained by executing key computations on the GPU.
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ISSN:0272-1732
1937-4143
DOI:10.1109/MM.2008.57