High Performance Computing with CUDA

This tutorial, presented by Massimiliano Fatica (NVIDIA), Timo Stich (NVIDIA) and Graham Pullan (Cambridge University), aims to provide a detailed introduction to high-performance computing with CUDA.

CUDA is NVIDIA’s revolutionary parallel computing architecture for GPUs. The available software tools include a C compiler, as well as useful libraries for high-performance computing (BLAS, FFT, etc). Several widely-used scientific applications have been ported to run on GPUs using CUDA. This half-day workshop will provide an introduction to the CUDA architecture, programming model, and the programming environment of C for CUDA, as well as an overview of the GPU architecture, live demos, and strategies for optimizing CUDA applications. The workshop will also include a detailed case study on Computational Fluid Dynamics (CFD).