Dive into a comprehensive 7-hour crash course on CUDA programming, covering essential topics from basic vector addition to advanced GPU performance optimizations. Learn to implement and optimize various algorithms including matrix multiplication, sum reduction, and convolution using CUDA. Explore unified memory, cache tiling, coalescing, and the use of libraries like cuBLAS. Gain practical experience with hands-on exercises in both Windows and Linux environments, and understand crucial concepts such as spatial thinking and handling non-perfect input sizes. Master profiling techniques and discover how to maximize GPU performance through a series of in-depth lessons and real-world examples.