Speaker
Axel Koehler
(NVIDIA)
Description
Computational researchers, scientists and engineers are rapidly shifting to computing solutions running on GPUs as this offers significant advantages in performance and energy efficiency.
This presentation will provide a short overview about GPU Computing and NVIDIA's parallel computing platform. It will show how features of the latest Kepler GPU architecture (eg. Hyper-Q, GPU-aware MPI and GPUDirect RDMA) improve the performance, scalability and GPU utilization of scientific applications. In addition an outlook about future GPU developments will be presented.
Primary author
Axel Koehler
(NVIDIA)
