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GPU Parallel Program Development Using CUDA - Chapman & Hall / CRC Computational Science Soyata, Tolga (University at Albany, SUNY, USA) 1. izdevums
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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2020. gada 30. jūnijs |
| ISBN13 | 9780367572242 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 440 |
| Izmēri | 150 × 220 × 10 mm · 880 g |
| Valoda | Angļu |
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