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| Title | A Survey of General-Purpose Computation on Graphics Hardware
(Article) |
| in | Computer Graphics Forum |
| Author(s) |
John D. Owens, David Luebke, Naga Govindaraju, Mark Harris, Jens Krüger, Aaron Lefohn, Timothy J. Purcell |
| Keyword(s) | GPGPU survey |
| Year |
2007
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| Volume | 26 |
| Number | 1 |
| URL | http://www.blackwell-synergy.com/doi/pdf/10.1111/j.1467-8659.2007.01012.x |
| Pages | 80--113 |
| Download |  |
| BibTeX |  |
| Abstract |
The rapid increase in the performance of graphics hardware, coupled
with recent improvements in its programmability, have made graphics
hardware a compelling platform for computationally demanding tasks in
a wide variety of application domains. In this report, we describe,
summarize, and analyze the latest research in mapping general-purpose
computation to graphics hardware.
We begin with the technical motivations that underlie general-purpose
computation on graphics processors (GPGPU) and describe the hardware
and software developments that have led to the recent interest in this
field. We then aim the main body of this report at two separate
audiences. First, we describe the techniques used in mapping
general-purpose computation to graphics hardware. We believe these
techniques will be generally useful for researchers who plan to
develop the next generation of GPGPU algorithms and techniques.
Second, we survey and categorize the latest developments in
general-purpose application development on graphics hardware.
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| Note |
The definitive version is available at www.blackwell-synergy.com. Research support for the lead author is gratefully acknowledged: NSF Award 0541448, LANL, and DOE Early Career Principal Award DE-FG02-04ER25609.
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