GPGPU: general purpose computation on graphics hardware

By David P. Luebke, Mark J. Harris, Jens Harald Krüger, Timothy J. Purcell, Naga K. Govindaraju, Ian Buck, Cliff Woolley, Aaron E. Lefohn. International Conference on Computer Graphics and Interactive Techniques, 2004

323 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/3deb3f07d069187736b71293215d5534282ec33c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Hardware and Architecture

1. Ali A. Dashti
2. Ivan Komarov
3. Roshan M. D'Souza

Citations in the corpus

• High-Speed Private Information Retrieval Computation on GPU (2008, background): “GPUs have now evolved from highly-specialized graphics processors into powerful, flexible programmable units, and become increasingly popular for a wide range of applications [11, 19].”
• Efficient Computation of k-Nearest Neighbour Graphs for Large High-Dimensional Data Sets on GPU Clusters (2013, background): “The need for specialized rendering routines led GPU vendors to provide userdefined functionality through shader programming [24].”