Learning CUDA 10 Programming [Video]
Learning CUDA 10 Programming [Video]
English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 2h 27m | 489 MB
eLearning | Skill level: All Levels
Learning CUDA 10 Programming [Video]: Harness the power of GPUs to speed up your applications
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.
- Use CUDA to speed up your applications using machine learning, image processing, linear algebra, and more
- Learn to debug CUDA programs and handle errors
- Use optimization techniques to get the maximum performance from your CUDA programs
- Master the fundamentals of concurrency and parallel algorithms on GPUs
- Learn about the wide range of GPU-accelerated libraries included with CUDA
- Learn the next steps you can take to continue building your CUDA skills
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.
