30
edits
Changes
→Means of parallelisation on GPUs
short introduction and advantages and disadvantages of:
'''CUDA ''' CUDA is a parallel computing platform and programming model developed by Nvidia for general computing on its own GPUs (Yunseongraphics processing units). CUDA enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation. CUDA and NVIDIA GPUs have been improved together in past years. The combination of CUDA and Nvidia GPUs dominates several application areas, including deep learning, and is a foundation for some of the fastest computers in the world. CUDA version 9.2, using multiple P100 server GPUs, you can realize up to 50x performance improvements over CPUs.
OpenMP (Elena)
