GPU programming using CUDA
22 – 23 May 2018
The focus is to understand the basics of accelerator programming with the CUDA parallel computing platform model.
CUDA is a parallel computing platform and application programming interface (API) model created by NVIDIA. It allows software developers to use a CUDA-enabled graphics processing unit (GPU) for general purpose processing – an approach known as GPGPU. The CUDA platform is a software layer that gives direct access to the GPU’s virtual instruction set and parallel computational elements, for the execution of compute kernels.
The course also contains performance and best practice considerations, e.g., gpu libraries, performance optimizations, tools for debugging and profiling.
After the course the participants should have the basic skills needed for utilizing CUDA and OpenACC in new, or existing (own code) programs.