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 ...

Programmers have been interested in leveraging the highly parallel processing power of video cards to speed up applications that are not graphic in nature for a long time. Here, I explain how to do ...

Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. Unified memory has a ...

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 ...

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.

The University of Illinois at Urbana-Champaign (UIUC) has been named Nvidia's first CUDA "Center of Excellence" for adopting parallel computing strategies and applying them to research. The university ...

NVIDIA TAPS PROCESSING POWER OF GEFORCE GPUS FOR MORE THAN GRAPHICS New Consumer Application Pack Uses NVIDIA CUDA Technology to Improve Performance Beyond Graphics on NVIDIA GeForce GPUs SANTA CLARA, ...

Nvidia has released a Mac OS X version of its CUDA programming tools. Nvidia’s CUDA tools help developers utilize the GPUs on newer Nvidia graphics hardware as parallel processing engines. CUDA, or ...