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GPU Parallel Program Development Using CUDA - Chapman & Hall / CRC Computational Science Soyata, Tolga (University at Albany, SUNY, USA) 1. udgave
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GPU Parallel Program Development Using CUDA - Chapman & Hall / CRC Computational Science
Soyata, Tolga (University at Albany, SUNY, USA)
This book teaches GPU programming by introducing CPU multi-threaded programming and bases GPU massively-parallel programming on this foundation. The differences among families of GPUs are also studied. The book also explores CUDA libraries, OpenCL, GPU programming with other languages and API libraries, and the deep learning library cuDNN
440 pages
| Medie | Bøger Paperback Bog (Bog med blødt omslag og limet ryg) |
| Udgivet | 30. juni 2020 |
| ISBN13 | 9780367572242 |
| Forlag | Taylor & Francis Ltd |
| Antal sider | 440 |
| Mål | 150 × 220 × 10 mm · 880 g |
| Sprog | Engelsk |
