Parallel and High Performance Programming with Python

<p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>This book will teach you everything about the powerful techniques and applications of parallel computing from the basics of parallel programming to the cutting-edge innovations shaping the future of computing. </span></p><p><br></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>The book starts with an introduction to parallel programming and the different types of parallelism including parallel programming with threads and processes. The book then delves into asynchronous programming distributed Python and GPU programming with Python providing you with the tools you need to optimize your programs for distributed and high-performance computing. </span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>The book also covers a wide range of applications for parallel computing including data science artificial intelligence and other complex scientific simulations. You will learn about the challenges and opportunities presented by parallel computing for these applications and how to overcome them. </span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>By the end of the book you will have insights into the future of parallel computing the latest research and developments in the field and explore the exciting possibilities that lie ahead.</span></p><p><br></p><p><strong style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>TABLE OF CONTENTS </strong></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>1. Introduction to Parallel Programming </span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>2. Building Multithreaded Programs </span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>3. Working with Multiprocessing and mpi4py Library</span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>4. Asynchronous Programming with AsyncIO</span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>5. Realizing Parallelism with Distributed Systems </span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>6. Maximizing Performance with GPU Programming using CUDA</span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>7. Embracing the Parallel Computing Revolution</span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>8. Scaling Your Data Science Applications with Dask</span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>9. Exploring the Potential of AI with Parallel Computing</span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>10. Hands-on Applications of Parallel Computing</span></p>