Introduction to CUDA Programming for Physicists - Lecture 3

Dive into the third installment of a four-part course on CUDA programming tailored for physicists. Explore the architecture of GPUs, including computing units, memory structures, and their interaction with host computers. Learn to identify tasks well-suited for GPU acceleration. Master memory operations, including allocation and data transfer between CPU and GPU, as well as the use of GPU shared memory. Gain proficiency in writing CUDA kernels and managing streams for task synchronization. Discover techniques for performing reduction operations on GPUs and familiarize yourself with essential CUDA libraries such as cuFFT, cuBLAS, cuSPARSE, and cuRAND. Enhance your computational physics skills by harnessing the parallel processing power of GPUs through CUDA programming.