Brief Introduction
Harness the power of GPUs to speed up your applicationsDescription
Do you want to write GPU-accelerated applications, but don't know how to get started? With CUDA 10, you can easily add GPU processing to your C and C++ projects. CUDA 10 is the de-facto framework used to develop high-performance, GPU-accelerated applications.
In this course, you will be introduced to CUDA programming through hands-on examples. CUDA provides a general-purpose programming model which gives you access to the tremendous computational power of modern GPUs, as well as powerful libraries for machine learning, image processing, linear algebra, and parallel algorithms.
After working through this course, you will understand the fundamentals of CUDA programming and be able to start using it in your applications right away.
About the Author
Nathan Weston is a software developer and lives in the Boston, USA area. He has worked in the visual effects industry, where he made extensive use of CUDA, and also has experience with software engineering research and scientific applications. He now works as a consultant with local and remote clients.
Requirements
- Requirements
- A good understanding of programming in modern C++ (C++17) is required in order to implement the concepts in this course.
Packt Publishing
4.1 Raiting
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