Hands-On GPU Programming with Python and CUDA

English | 2018 | ISBN: 1788993918 | 310 Pages | PDF EPUB MOBI (True) | 26 MB
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.