GPU programming using CUDA

The focus of the training 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. Participants will acquire the basic skills needed for utilizing CUDA in new or existing codes. The training programme is comprised of short sessions, while there will be time for Q&A. Prerequisites The course is addressed to people who are familiar with the C/C++ or Fortran programming languages and have working experience with the Linux operating system and the use of the command line. Experience with parallel programming or gpu programming (MPI,OpenMP and CUDA) is not required. Course language is English