CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on its own GPUs (graphics processing units).CUDA enables developers to speed up compute ...

As part of the CUDA Toolkit, version 4.1, Nvidia has also released a GPU code optimization tool to visually guide developers through the CUDA programming process.

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.

CUDA is Nvidia’s parallel computing architecture, which manages computation on the GPU in a way that provides a simple interface for the programmer. The CUDA architecture can be programmed in ...

The guide takes a closer look at the open-source library PyTorch which allows a Python developer to quickly get up-to-speed with the features of CUDA that make it so appealing to researchers and ...

In this Programming Throwdown podcast, Mark Harris from Nvidia describes Cuda programming for GPUs. "CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic ...

In this guide I will explain how to install CUDA 6.0 for Mac OS X. CUDA is a proprietary programming language developed by NVIDIA for GPU programming, and in the last few years it has become the ...

SANTA CLARA, CA--(Marketwired - Nov 14, 2013) - NVIDIA today announced NVIDIA® CUDA® 6, the latest version of the world's most pervasive parallel computing platform and programming model. The ...

At the beginning of CUDA development, Buck says, the goal was to make it so if a programmer knew C, C++, or Fortran and understood threading, programming a GPU would not be a great challenge. Of ...

A CUDA core is a SIMD (Single Instruction, Multiple Data) processing unit found inside your Nvidia graphics card that handles parallel computing tasks; with more CUDA cores, comes the ability to ...