Parallel Computing Experiences with CUDA

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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Veröffentlicht in:IEEE MICRO 2008-07, Vol.28 (4), p.13-27
Hauptverfasser: Garland, M., Le Grand, S., Nickolls, J., Anderson, J., Hardwick, J., Morton, S., Phillips, E., Yao Zhang, Volkov, V.
Format: Artikel
Sprache:eng
Schlagworte:
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
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Beschreibung
Zusammenfassung: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.
ISSN:0272-1732
1937-4143
DOI:10.1109/MM.2008.57