May 2019
Intermediate to advanced
452 pages
12h 16m
English
Overview
Dive into the world of GPU programming with Python. This book introduces you to the foundational principles of GPU computing, teaches you how to program with PyCUDA and PyOpenCL, and equips you to leverage GPUs for heavy computational tasks like deep learning and data mining.
What this Book will help me do
- Master GPU computing fundamentals by understanding the architecture and programming models.
- Efficiently deploy GPU workflows and manage resources in containerized environments.
- Create and optimize parallel processing code using Python frameworks like PyCUDA.
- Harness CUDA libraries for deep learning and scientific computations.
- Develop advanced machine learning models with GPU acceleration.
Author(s)
Avimanyu Bandyopadhyay is an experienced software engineer and author specializing in GPU computing and data engineering. With years of practical expertise in Python and parallel computing technologies, Avimanyu has authored several insightful technical guides. He focuses on teaching high-performance computing concepts in an accessible and applicable manner.
Who is it for?
This book is ideal for intermediate Python programmers looking to explore GPU computing. It is tailored for data scientists, machine learning practitioners, and developers focusing on high-performance applications. If you are aiming to enhance your computational tasks using GPU technologies, this book will provide you with practical and in-depth knowledge.
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