Compute unified device architecture application suitability

Wen Mei Hwu; Christopher Rodrigues; Shane Ryoo; John Stratton

doi:10.1109/MCSE.2009.48

Compute unified device architecture application suitability

Wen Mei Hwu, Christopher Rodrigues, Shane Ryoo, John Stratton

Research output: Contribution to journal › Article

Abstract

Graphics processing units (GPUs) can provide excellent speedups on some, but not all, general-purpose workloads. Using a set of computational GPU kernels as examples, the authors show how to adapt kernels to utilize the architectural features of a GeForce 8800 GPU and what finally limits the achievable performance.

Original language	English (US)
Article number	4814979
Pages (from-to)	16-26
Number of pages	11
Journal	Computing in Science and Engineering
Volume	11
Issue number	3
DOIs	https://doi.org/10.1109/MCSE.2009.48
State	Published - May 1 2009

Keywords

Benchmarks
CUDA
Compute unified device architecture
Computer architecture
GPGPU
General-purpose computing on GPU
Software optimization

ASJC Scopus subject areas

Computer Science(all)
Engineering(all)

Access to Document

10.1109/MCSE.2009.48

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Hwu, W. M., Rodrigues, C., Ryoo, S., & Stratton, J. (2009). Compute unified device architecture application suitability. Computing in Science and Engineering, 11(3), 16-26. [4814979]. https://doi.org/10.1109/MCSE.2009.48

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