Hands-On GPU Computing with Python
GPU technologies are the paradigm shift in modern computing. This book will take you through architecting your GPU-based systems to deploying the computational models on GPUs for faster processing. You will learn to program your GPUs to build a GPU-accelerated environment for accelerating machine learning models and other data-intensive processing
Offered by
Difficulty Level
Intermediate
Completion Time
15h4m
Language
English
About Book
Who Is This Book For?
Data scientists, machine learning enthusiasts, or professionals who want to get started with GPU computation and perform the complex tasks with low-latency will find this book useful. Intermediate knowledge of Python programming is assumed.
Hands-On GPU Computing with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 15h4m total length
Introduction to GPU computing
Designing A GPU Computing Strategy
Setting up a GPU Computing Platform with NVIDIA and AMD
Fundamentals of GPU programming
Setting up your environment for GPU programming
Working with PyCUDA
Working with PyOpenCL
Working with Anaconda and Anaconda Accelerate
Containerization on GPU enabled platforms
Machine Learning on GPUs: Use cases
GPU Acceleration for Scientific Applications using Deepchem
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