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 | |
| State | Published - May 1 2009 |
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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)
Cite this
Compute unified device architecture application suitability. / Hwu, Wen Mei; Rodrigues, Christopher; Ryoo, Shane; Stratton, John.
In: Computing in Science and Engineering, Vol. 11, No. 3, 4814979, 01.05.2009, p. 16-26.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Compute unified device architecture application suitability
AU - Hwu, Wen Mei
AU - Rodrigues, Christopher
AU - Ryoo, Shane
AU - Stratton, John
PY - 2009/5/1
Y1 - 2009/5/1
N2 - 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.
AB - 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.
KW - Benchmarks
KW - CUDA
KW - Compute unified device architecture
KW - Computer architecture
KW - GPGPU
KW - General-purpose computing on GPU
KW - Software optimization
UR - http://www.scopus.com/inward/record.url?scp=65349159175&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=65349159175&partnerID=8YFLogxK
U2 - 10.1109/MCSE.2009.48
DO - 10.1109/MCSE.2009.48
M3 - Article
AN - SCOPUS:65349159175
VL - 11
SP - 16
EP - 26
JO - Computing in Science and Engineering
JF - Computing in Science and Engineering
SN - 1521-9615
IS - 3
M1 - 4814979
ER -