NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

GPUs have quickly surpassed CPUs in terms of computation speed. Now programmers can use the CUDA architecture to help simplify their implementation. Graphics processing units (GPUs) were originally ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

Nvidia has released a public beta of CUDA 1.1, an update to the company's C-compiler and software development kit. CUDA stands for "Compute Unified Device Architecture." It's used for developing ...

Have you wanted to get into GPU programming with CUDA but found the usual textbooks and guides a bit too intense? Well, help is at hand in the form of a series of increasingly difficult programming ...

NVIDIA had told us it would be accelerating its CUDA program to try and get an advantage over its competitors as OpenCL brings general-purpose GPU computing to the mainstream, and it looks like that ...

The Seeker quantum processor from Quantum Circuits now supports Nvidia's CUDA-Q, enabling developers to combine quantum ...