ARCHER2: GPU Programming with CUDA - Part 2b

This course will provide an introduction to GPU computing with CUDA aimed at scientific application programmers. The course will give a background on the difference between CPU and GPU architectures as a prelude to introductory exercises in CUDA programming. The course will discuss the execution of kernels, memory management, and shared memory operations. Common performance issues are discussed and their solution addressed. The course will also cover some of the alternatives to CUDA commonly available (OpenCL, OpenACC, and Kokkos) at the current time.