August 2025
Intermediate to advanced
270 pages
5h 56m
English
Overview
GPU Programming with C++ and CUDA is a comprehensive guide to harnessing the power of GPUs to accelerate computation-heavy applications. With practical examples and a hands-on approach, you'll master GPU programming basics, optimization techniques, and even creating reusable GPU libraries for Python integration.
What this Book will help me do
- Understand the fundamental concepts of GPU programming using CUDA.
- Learn how to manage GPU computing resources effectively within your C++ projects.
- Develop skills to optimize the performance of GPU-accelerated applications.
- Master the design and implementation of reusable GPU libraries accessible from Python.
- Gain proficiency in scaling your applications across multiple GPUs.
Author(s)
Paulo Motta is a seasoned software engineer with extensive experience in GPU computing and parallel programming. With a practical approach to teaching, Paulo brings decades of firsthand industry knowledge to his writing. He is dedicated to making complex concepts accessible to developers of all levels.
Who is it for?
This book is ideal for C++ developers seeking to leverage GPU computing to accelerate their applications. It is particularly suited for those who are already proficient in C++ and are eager to delve into parallel programming and high-performance computing. Prior understanding of hardware architecture and CUDA basics will help you maximize your learning, but it's structured to provide value to motivated learners starting in GPU programming.
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