Book Image

Hands-On GPU Computing with Python

By : Avimanyu Bandyopadhyay
Book Image

Hands-On GPU Computing with Python

By: Avimanyu Bandyopadhyay

Overview of this book

GPUs 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 begins by introducing GPU computing and explaining the GPU architecture and programming models. You will learn, by example, how to perform GPU programming with Python, and look at using integrations such as PyCUDA, PyOpenCL, CuPy, and Numba with Anaconda for various tasks such as machine learning and data mining. In addition to this, you will get to grips with GPU workflows, 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. By the end of this book, you will be able to set up a GPU ecosystem for running complex applications and data models that demand great processing capabilities, and be able to efficiently manage memory to compute your application effectively and quickly.
Table of Contents (17 chapters)
Free Chapter
1
Section 1: Computing with GPUs Introduction, Fundamental Concepts, and Hardware
5
Section 2: Hands-On Development with GPU Programming
11
Section 3: Containerization and Machine Learning with GPU-Powered Python

Conventional CPU computing – before the advent of GPUs

Before GPUs arrived, general-purpose computing, as we know it, was only possible with CPUs, which were the first mainstream processors manufactured for both consumers as well as advanced computing enthusiasts.

Both computational and graphical processing were handled only by them. This meant that both the tasks of processing and handling computation of input and showing its corresponding computed output on a display were all handled by a CPU.

The history of general-purpose computing goes way back to the 1950s, before GPUs arrived and revolutionized the concept. The 1970s witnessed the rise of a new era, when the first commercial CPU, the Intel 4004, was released by Intel in 1971. The first AMD CPU was also launched in the 70s with the launch of AM2900 in 1975. There was no looking back, and a new cycle of CPU manufacturing...