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Brook for GPUs: stream computing on graphics hardware
Abstract
In this paper, we present Brook for GPUs, a system for general-purpose computation on programmable graphics hardware. Brook extends C to include simple data-parallel constructs, enabling the use of the GPU as a streaming co-processor. We present a compiler and runtime system that abstracts and virtualizes many aspects of graphics hardware. In addition, we present an analysis of the effectiveness of the GPU as a compute engine compared to the CPU, to determine when the GPU can outperform the CPU for a particular algorithm. We evaluate our system with five applications, the SAXPY and SGEMV BLAS operators, image segmentation, FFT, and ray tracing. For these applications, we demonstrate that our Brook implementations perform comparably to hand-written GPU code and up to seven times faster than their CPU counterparts.
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Cites
An algorithm for the machine calculation of complex Fourier series
Cooley, J. W., & Tukey, J. W. (1965) · Mathematics of Computation · doi:10.1090/s0025-5718-1965-0178586-1 · Cited by 13,154
Automated empirical optimizations of software and the ATLAS project
Clint Whaley, R., Petitet, A., & Dongarra, J. J. (2001) · Parallel Computing · doi:10.1016/s0167-8191(00)00087-9 · Cited by 1,317
Cited by
(2008) · doi:10.1145/1401132.1401152 · Cited by 1,575
(2013) · doi:10.1145/2491956.2462176 · Cited by 885
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
A catalog of stream processing optimizations
Hirzel, M., Soulé, R., Schneider, S., Gedik, B., & Grimm, R. (2014) · ACM Computing Surveys · doi:10.1145/2528412 · Cited by 299
Fast Deformable Registration on the GPU: A CUDA Implementation of Demons
Muyan-Ozcelik, P., Owens, J. D., Xia, J., & Samant, S. S. (2008) · 2008 International Conference on Computational Sciences and Its Applications · doi:10.1109/iccsa.2008.22 · Cited by 115
Metadata
- Authors
- Buck, I., Foley, T., Horn, D., Sugerman, J., Fatahalian, K., Houston, M., & Hanrahan, P.
- Venue
- ACM Transactions on Graphics
- Published
- 2004-08
- Volume
- 23
- Issue
- 3
- Pages
- 777-786
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2032309817
- Cited by
- 1,155
- References
- 2
- FWCI
- 112.89
- Type
- journal article
- Language
- en
- Open access
- closed
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- Buck, I., Foley, T., Horn, D., Sugerman, J., Fatahalian, K., Houston, M., & Hanrahan, P. (2004). Brook for GPUs: stream computing on graphics hardware. ACM Transactions on Graphics. https://doi.org/10.1145/1015706.1015800
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
