This GPU programming book shows how to use parallelism to accelerate computations. The first section introduces the concept of parallelism and provides practical advice on how to think about and utilize it effectively. Starting with a basic GPU program, readers then gain hands-on experience in managing the device. This foundational knowledge is then expanded by parallelizing the program to illustrate how GPUs enhance performance.

<ASIN:1805124544 >

The second section explores GPU architecture and implementation strategies for parallel algorithms, and offers practical insights into optimizing resource usage for efficient execution. In the final section, readers will explore advanced topics such as utilizing CUDA streams. They will also learn how to package and distribute GPU-accelerated libraries for the Python ecosystem.

Author: Paulo Motta
Publisher: Packt Publishing
Date: oAugust 2025
Pages: 270
ISBN: 978-1805124542
Print: 1805124544
Kindle: B0FB3V6131
Audience: C++ developers
Level: Intermediate
Category: Theory & Techniques 

• Harness the power of GPU parallelism to accelerate real-world tasks
• Utilize CUDA streams and scale performance with custom C++ solutions
• Create reusable GPU libraries and expose them to Python seamlessly

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.