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NVIDIA cuda software and gpu parallel computing architecture
Open accessAbstract
In the past, graphics processors were special purpose hardwired application accelerators, suitable only for conventional rasterization-style graphics applications. Modern GPUs are now fully programmable, massively parallel floating point processors. This talk will describe NVIDIA's massively multithreaded computing architecture and CUDA software for GPU computing. The architecture is a scalable, highly parallel architecture that delivers high throughput for data-intensive processing. Although not truly general-purpose processors, GPUs can now be used for a wide variety of compute-intensive applications beyond graphic.
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Metadata
- Authors
- Kirk, D.
- Venue
- Proceedings of the 6th international symposium on Memory management
- Publisher
- ACM
- Published
- 2007-10-21
- Pages
- 103-104
- OpenAlex
- W1982825626
- Cited by
- 435
- References
- 0
- FWCI
- 10.70
- Type
- conference paper
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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