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Hands-On GPU Computing with Python
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Hands-On GPU Computing with Python

English | 2019 | ISBN: 9781789341072 | 452 pages | True EPUB | 22.6 MB

Explore the capabilities of GPUs for solving high performance computational problems
This book will be your guide to getting started with GPU computing. It will start with introducing GPU computing and explain the architecture and programming models for GPUs. You will learn, by example, how to perform GPU programming with Python, and you'll look at using integrations such as PyCUDA, PyOpenCL, CuPy and Numba with Anaconda for various tasks such as machine learning and data mining. Going further, you will get to grips with GPU work flows, 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.

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