(Ilmumisaeg: 02-Jun-2022, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781108479530)
CUDA is now the dominant language used for programming GPUs, one of the most exciting hardware developments of recent decades. With CUDA, you can use a desktop PC for work that would have previously required a large cluster of PCs or access to a HPC...Loe edasi...
GPU Parallel Program Development using CUDA teaches GPU programming by showing the differences among different families of GPUs. This approach prepares the reader for the next generation and future generations of GPUs. Th...Loe edasi...
saadame teile pakkumise kasutatud raamatule, mille hind võib erineda kodulehel olevast hinnast
This book is for programmers who want to delve into parallel computing, become part of the high-performance computing community and apply those techniques to build modern applications. Experience with C++ programming is assumed. There are some sampl...Loe edasi...
GPUs are designed for maximum throughput, but are subject to low-level subtleties. In contrast, Python is a high-level language that favours ease of use over speed. In this book, we will combine the power of both Python and CUDA to help you create h...Loe edasi...
This book provides a hands-on, class-tested introduction to CUDA and GPU programming. It begins by introducing CPU programming and the concepts of P-threads, thread programming, multi-tasking, and parallelism, and then interweaves those concepts i...Loe edasi...
Extremely low-cost graphics cards now possess computational capabilities that were once limited to supercomputers. Using CUDA, you can to liberate the power of NVIDIA graphics cards for a wide spectrum of non-graphics applicatio...Loe edasi...
The CUDA Handbook begins where CUDA by Example (Addison-Wesley, 2011) leaves off, discussing CUDA hardware and software in greater detail and covering both CUDA 5.0 an...Loe edasi...
