The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Survey of General‐Purpose Computation on Graphics Hardware
Open accessAbstract
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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Cites
Golub, G. (2012) · doi:10.56021/9781421407944 · Cited by 34,505
GIST: an interactive, GPU-based level set segmentation tool for 3D medical images
CATES, J., LEFOHN, A., & WHITAKER, R. (2004) · Medical Image Analysis · doi:10.1016/j.media.2004.06.022 · Cited by 102
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Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU
Lee, V. W., Kim, C., Chhugani, J., Deisher, M., Kim, D., Nguyen, A. D., Satish, N., Smelyanskiy, M., Chennupaty, S., Hammarlund, P., et al. (2010) · Proceedings of the 37th annual international symposium on Computer architecture · doi:10.1145/1815961.1816021 · Cited by 640
PyCUDA and PyOpenCL: A scripting-based approach to GPU run-time code generation
Klöckner, A., Pinto, N., Lee, Y., Catanzaro, B., Ivanov, P., & Fasih, A. (2012) · Parallel Computing · doi:10.1016/j.parco.2011.09.001 · Cited by 573
GPU computing in medical physics: A review
Pratx, G., & Xing, L. (2011) · Medical Physics · doi:10.1118/1.3578605 · Cited by 300
Pinto, N., Doukhan, D., DiCarlo, J. J., & Cox, D. D. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000579 · Cited by 248
Metadata
- Authors
- Owens, J. D., Luebke, D., Govindaraju, N., Harris, M., Krüger, J., Lefohn, A. E., & Purcell, T. J.
- Venue
- Computer Graphics Forum
- Publisher
- Wiley
- Published
- 2007-03
- Volume
- 26
- Issue
- 1
- Pages
- 80-113
- ISSN
- 0167-7055 (ISSN-L)
- 1467-8659
- OpenAlex
- W2108157916
- Cited by
- 2,101
- References
- 2
- FWCI
- 501.83
- Type
- journal article
- Language
- en
- Open access
- green
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- Owens, J. D., Luebke, D., Govindaraju, N., Harris, M., Krüger, J., Lefohn, A. E., & Purcell, T. J. (2007). A Survey of General‐Purpose Computation on Graphics Hardware. Computer Graphics Forum. https://doi.org/10.1111/j.1467-8659.2007.01012.x
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