Programming

OpenCL Welcome to our extensive collection of technology books focused on opencl. As a category dedicated to parallel programming frameworks, you'll find titles covering everything from getting started with opencl fundamentals to advanced techniques for leveraging GPU computing power. Browse beginner-friendly introductions, practical cookbooks, and cutting-edge research - we have books for developers of all skill levels. Learn to unlock the massive parallel processing capabilities of modern hardware for applications like scientific computing, machine learning, computer vision, and more. Whether you want to understand opencl integration with major languages like C++ and Python or build custom solutions from the ground up, our books will guide you every step of the way with detailed explanations and downloadable code examples. Master memory management, kernel optimization, heterogeneous computing and all aspects of high performance parallel programming with opencl.

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A range of our top selling data products from the last year

Hands-On GPU Computing with Python

May 2019 452 pages

2 (1)

eBook

$20.98 ~~$29.99~~

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Hands-On GPU Computing with Python

May 2019 452 pages

2 (1)

eBook

$20.98 ~~$29.99~~

The Most Popular in OpenCL

Hands-On GPU Computing with Python

GPUs are proving to be excellent general purpose-parallel computing solutions for high-performance tasks such as deep learning and scientific computing. This book will be your guide to getting started with GPU computing. It begins by introducing GPU computing and explaining the GPU architecture and programming models. You will learn, by example, how to perform GPU programming with Python, and look at using integrations such as PyCUDA, PyOpenCL, CuPy, and Numba with Anaconda for various tasks such as machine learning and data mining. In addition to this, you will get to grips with GPU workflows, management, and deployment using modern containerization solutions. Toward the end of the book, you will get familiar with the principles of distributed computing for training machine learning models and enhancing efficiency and performance. By the end of this book, you will be able to set up a GPU ecosystem for running complex applications and data models that demand great processing capabilities, and be able to efficiently manage memory to compute your application effectively and quickly.

Avimanyu Bandyopadhyay

Paperback May 2019 452

$43.99

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