May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Preface
This book aims to be your guide to getting started with GPU computing. It will start by introducing GPU computing and explaining the architecture and programming models for GPUs. You will also be briefed about the minimum system requirements to get ready for some hands-on experience with GPU computing.
You will learn to how to set up an IDE and learn GPU programming with Python, along with its integrations, including PyCUDA, PyOpenCL, and Anaconda, for performing machine learning for data mining tasks. You will also learn how to port NVIDIA CUDA code to AMD ROCm HIP code that has been tested on the all-new AMD Radeon VII GPU with Linux!
Going further, the book will explain GPU workflows, management, and deployment. You will learn ...
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