Hands-On GPU Programming with Python and CUDA (+code)
Программирование / Книги для мобильных устройств
Основная информация:
Название: Hands-On GPU Programming with Python and CUDA (+code)
Жанр: Нет
Автор: Brian Tuomanen
Год выпуска: 2018
Формат: EPUB
Размер: 10 mb
ISBN: 202772169373
Язык: Английский
СКАЧАТЬ Hands-On GPU Programming with Python and CUDA (+code) БЕСПЛАТНО EPUB - DOC - DJVU - RTF - PDFОписание: Explore high-performance parallel computing with CUDA
Hands-On GPU Programming with Python and CUDA hits the ground running: you’ll start by learning how to apply Amdahl’s Law, use a code profiler to identify bottlenecks in your Python code, and set up an appropriate GPU programming environment. You’ll then see how to "query” the GPU’s features and copy arrays of data to and from the GPU’s own memory.
As you make your way through the book, you’ll launch code directly onto the GPU and write full blown GPU kernels and device functions in CUDA C. You’ll get to grips with profiling GPU code effectively and fully test and debug your code using Nsight IDE. Next, you’ll explore some of the more well-known NVIDIA libraries, such as cuFFT and cuBLAS.
With a solid background in place, you will now apply your new-found knowledge to develop your very own GPU-based deep neural network from scratch. You’ll then explore advanced topics, such as warp shuffling, dynamic parallelism, and PTX assembly. In the final chapter, you’ll see some topics and applications related to GPU programming that you may wish to pursue, including AI, graphics, and blockchain.
By the end of this book, you will be able to apply GPU programming to problems related to data science and high-performance computing.