Modern graphics processing units (GPUs) contain hundreds of arithmetic units and can be harnessed to provide tremendous acceleration for many numerically intensive scientific applications. The key to effective utilization of GPUs for scientific computing
NVIDIA Corporation, the world leader in visual computing technologies and the inventor of the GPU, today announced that the Korea Institute of Science and Technology Information (KISTI) Supercomputing Center has selected NVIDIA Quadro® FX 5600 graphics c
Marvin is a deep learning framework designed first and foremost to be hackable. It is naively simple for fast prototyping, uses only basic C/C++, and only calls CUDA and cuDNN as dependencies.
This first post in a series on CUDA C and C++ covers the basic concepts of parallel programming on the CUDA platform with C/C++.
int i = blockDim.x * blockIdx.x + threadIdx.x
A. Dallmann, P. Beck, and J. von Gudenberg. Parallel Processing and Applied Mathematics, volume 8385 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2014)
A. Dallmann, P. Beck, and J. von Gudenberg. Parallel Processing and Applied Mathematics, volume 8385 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2014)