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 › peer-review

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)

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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.",

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KW - GPGPU

KW - General-purpose computing on GPU

KW - Software optimization

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Compute unified device architecture application suitability

Abstract

Keywords

ASJC Scopus subject areas

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