Applications based on parallel programming are fast, robust, and easily scalable. This book covers the following exciting features: Synchronize multiple threads and processes to manage …

Aug 26, 2015 · A step-by-step guide to parallel programming using Python, with recipes accompanied by one or more programming examples. It is a practically oriented book and has …

This updated edition features cutting-edge techniques for building effective concurrent applications in Python 3.7. The book introduces parallel programming architectures and covers …

Explores parallel programming concepts and techniques for high-performance computing. Covers parallel algorithms, multiprocessing, distributed computing, and GPU programming. Provides …

Sep 1, 2015 · Devoted to parallel programming in Python, this book is aimed at Python programmers who wish to become more proficient at writing efficient parallel code to realize …

Sep 1, 2019 · You'll learn about mutex, semaphores, locks, queues exploiting the threading, and multiprocessing modules, all of which are basic tools to build parallel applications. Recipes on …

Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and Dask. (English Edition) This book will teach you everything about the powerful techniques and …

Jun 25, 2014 · A fast, easy-to-follow and clear tutorial to help you develop Parallel computing systems using Python. Along with explaining the fundamentals, the book will also introduce …