NATICK, Mass. - Sep 20, 2010 -- Today at the GPU Technology Conference (GTC), MathWorks announced support for NVIDIA graphics processing units (GPUs) in MATLAB applications using Parallel Computing ...

"Parallel computing ... in the world. MATLAB, a numerical computing environment and programming language developed by MathWorks, will support CUDA-accelerated GPUs and make GPU computing ...

Nvidia Corporation's parallel computing platform ... H2O.ai, Keras, MATLAB, MXNet, PyTorch, Theano, and Torch, rely on CUDA for GPU support. These frameworks typically employ the cuDNN library ...

Release 2008b available Monday (Oct. 20) lets users distribute parallel MatLab applications as standalone executables or software components that can more easily take advantage of computing clusters ...

Nvidia is no longer just a graphics card company. Its advances in graphics processing unit — or GPU — computing with the Cuda parallel architecture in its Tesla and Fermi-based GeForce ...

NCAR was able to speed up the Weather Research & Forecasting Model by 20% by parallelizing one component of the model with NVIDIA CUDA software and a many-core GPU Computing Processor called Tesla.

Then Ratzel switched to a GPU and ran the analysis again. He got it done in less than two seconds. That speed comes from the parallel computing that the GPU enables. The concept has been around ...