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- W2034050544 abstract "In the past, graphics processors were special-purpose hardwired application accelerators, suitable only for conventional graphics applications. Modern GPUs are fully programmable, massively parallel floating point processors. In this talk I will describe NVIDIA's scalable, highly parallel many-core GPU architecture and how CUDA software for GPU computing delivers high throughput for data-intensive processing. I will discuss how CUDA is reinvigorating research on data-parallel algorithms, reducing time to scientific discovery, and enabling a variety of compute-intensive industrial applications of GPUs beyond computer graphics." @default.
- W2034050544 created "2016-06-24" @default.
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- W2034050544 date "2008-06-07" @default.
- W2034050544 modified "2023-09-29" @default.
- W2034050544 title "Many-core GPU computing with NVIDIA CUDA" @default.
- W2034050544 doi "https://doi.org/10.1145/1375527.1375528" @default.
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