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Hands-On GPU Computing with Python

You're reading from Hands-On GPU Computing with Python

Product type Book

Published in May 2019

Publisher Packt

ISBN-13 9781789341072

Pages 452 pages

Edition 1st Edition

Languages

Concepts

Data Processing

Author (1):

Avimanyu Bandyopadhyay

Table of Contents (17) Chapters

Preface

Section 1: Computing with GPUs Introduction, Fundamental Concepts, and Hardware

Introducing GPU Computing

Designing a GPU Computing Strategy

Setting Up a GPU Computing Platform with NVIDIA and AMD

Section 2: Hands-On Development with GPU Programming

Fundamentals of GPU Programming

Setting Up Your Environment for GPU Programming

Working with CUDA and PyCUDA

Working with ROCm and PyOpenCL

Working with Anaconda, CuPy, and Numba for GPUs

Section 3: Containerization and Machine Learning with GPU-Powered Python

Containerization on GPU-Enabled Platforms

Accelerated Machine Learning on GPUs

GPU Acceleration for Scientific Applications Using DeepChem

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Appendix A

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Authors (1)

Avimanyu Bandyopadhyay

Avimanyu Bandyopadhyay is currently pursuing a PhD degree in Bioinformatics based on applied GPU computing in Computational Biology at Heritage Institute of Technology, Kolkata, India. Since 2014, he developed a keen interest in GPU computing, and used CUDA for his master's thesis. He has experience as a systems administrator as well, particularly on the Linux platform. Avimanyu is also a scientific writer, technology communicator, and a passionate gamer. He has published technical writing on open source computing and has actively participated in NVIDIA's GPU computing conferences since 2016. A big-time Linux fan, he strongly believes in the significance of Linux and an open source approach in scientific research. Deep learning with GPUs is his new passion!

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