The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
GPU Computing
Abstract
The graphics processing unit (GPU) has become an integral part of today's mainstream computing systems. Over the past six years, there has been a marked increase in the performance and capabilities of GPUs. The modern GPU is not only a powerful graphics engine but also a highly parallel programmable processor featuring peak arithmetic and memory bandwidth that substantially outpaces its CPU counterpart. The GPU's rapid increase in both programmability and capability has spawned a research community that has successfully mapped a broad range of computationally demanding, complex problems to the GPU. This effort in general-purpose computing on the GPU, also known as GPU computing, has positioned the GPU as a compelling alternative to traditional microprocessors in high-performance computer systems of the future. We describe the background, hardware, and programming model for GPU computing, summarize the state of the art in tools and techniques, and present four GPU computing successes in game physics and computational biophysics that deliver order-of-magnitude performance gains over optimized CPU applications.
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Cites
VMD: visual molecular dynamics
Humphrey, W., Dalke, A., & Schulten, K. (1996) · Journal of Molecular Graphics · doi:10.1016/0263-7855(96)00018-5 · Cited by 66,952
Scalable molecular dynamics with NAMD
Phillips, J. C., Braun, R., Wang, W., Gumbart, J., Tajkhorshid, E., Villa, E., Chipot, C., Skeel, R. D., Kalé, L., & Schulten, K. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20289 · Cited by 16,914
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Rossant, C., Kadir, S. N., Goodman, D. F. M., Schulman, J., Hunter, M. L. D., Saleem, A. B., Grosmark, A., Belluscio, M., Denfield, G. H., Ecker, A. S., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4268 · Cited by 785
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Tomov, S., Dongarra, J., & Baboulin, M. (2010) · Parallel Computing · doi:10.1016/j.parco.2009.12.005 · Cited by 451
Metadata
- Authors
- Owens, J. D., Houston, M., Luebke, D., Green, S., Stone, J. E., & Phillips, J. C.
- Venue
- Proceedings of the IEEE
- Published
- 2008-05
- Volume
- 96
- Issue
- 5
- Pages
- 879-899
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W4250981202
- Cited by
- 1,495
- References
- 2
- FWCI
- 193.21
- Type
- journal article
- Language
- en
- Open access
- closed
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- Owens, J. D., Houston, M., Luebke, D., Green, S., Stone, J. E., & Phillips, J. C. (2008). GPU Computing. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2008.917757
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