Price: $63.79
(as of Nov 22,2024 06:56:05 UTC – Details)

Publisher ‏ : ‎ Cambridge University Press; New edition (September 15, 2022)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 395 pages
ISBN-10 ‏ : ‎ 1108479537
ISBN-13 ‏ : ‎ 978-1108479530
Item Weight ‏ : ‎ 2.52 pounds
Dimensions ‏ : ‎ 7.1 x 1.01 x 10.1 inches

Programming in Parallel with CUDA: A Practical Guide

Are you interested in harnessing the power of parallel computing to accelerate your programming tasks? Look no further than CUDA, NVIDIA’s parallel computing platform and programming model. CUDA allows developers to write code that can be executed in parallel on NVIDIA GPUs, making it ideal for tasks that require massive parallel processing power.

In this practical guide, we will walk you through the basics of programming in parallel with CUDA. We will cover topics such as setting up your development environment, writing CUDA kernels, managing memory, and optimizing performance. By the end of this guide, you will have the knowledge and skills to start writing parallel programs with CUDA and take advantage of the immense processing power of NVIDIA GPUs.

So whether you are a seasoned developer looking to delve into parallel programming or a newcomer interested in exploring the world of GPU computing, this guide is for you. Stay tuned for upcoming posts where we will dive deeper into specific CUDA programming techniques and best practices. Let’s unlock the full potential of parallel computing with CUDA!
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