CUDA Programming Course – High-Performance Computing with GPUs
About this course
This course provides a comprehensive introduction to CUDA programming, empowering learners to utilize GPUs for enhanced computational performance. From the basics of GPU architecture and C/C++ concepts to advanced applications in deep learning, the curriculum covers essential topics such as matrix multiplication optimization and the creation of PyTorch extensions. Participants will also gain insights into the deep learning ecosystem and practical use cases for CUDA programming across various domains.
What you should already know
A foundational understanding of Python programming and familiarity with basic linear algebra and vector calculus will greatly enhance your learning experience.
What you will learn
By the end of this course, learners will be equipped to write efficient CUDA kernels, optimize algorithms, and integrate CUDA functions into PyTorch, providing a strong foundation for tackling high-performance computing challenges.