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Hands-On GPU Computing with Python : Explore the Capabilities of GPUs for Solving High Performance Computational Problems by Bandyopadhyay, Avimanyu is a nonfiction available to read on EtoBox.

What is Hands-On GPU Computing with Python : Explore the Capabilities of GPUs for Solving High Performance Computational Problems about?

Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda AccelerateKey FeaturesUnderstand effective synchronization strategies for faster processing using GPUsWrite parallel processing scripts with PyCuda and PyOpenCLLearn to use the CUDA libraries like CuDNN for deep learning on GPUsBook DescriptionGPUs 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 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 en

Who reads Hands-On GPU Computing with Python : Explore the Capabilities of GPUs for Solving High Performance Computational Problems?

Author

Bandyopadhyay, Avimanyu

Publisher

Packt Publishing, Limited

Published

2019

Language

EN

ISBN

9781789342406

Category

nonfiction

Subjects

Engineering, Computer Science, Technology