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 ...

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 ...

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.

Today The Portland Group announced their 2012 release of their high-performance parallelizing compilers and development tools. PGI 2012 adds support for OpenACC directive-based programming model for ...

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, ...

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