One of the key trends for Nvidia right now is the growth of CUDA (Compute Unified Device Architecture), Nvidia's programming language for general-purpose GPU computing. In a keynote speech, Huang ...

Flow Computing is a pioneer in licensing on-die ultra-high-performance parallel computing solutions to CPU vendors of all architectures. And today the company is emerging from stealth with a funding ...

Chip vendor Nvidia plans to use its Cuda parallel computing architecture in all its GPUs (graphics processing units), including its Tegra system-on-a-chip for mobile devices. Chip vendor Nvidia plans ...

Students will be able to analyze the computing and memory architecture of a super computing node and use OpenMP directives to improve vectorization of their programs. This module focuses on the key ...

In January we gave NVIDIA’s CUDA (Compute Unified Device Architecture) software tools that allows C programmers to use multiple high-performance GPU cards to perform massively parallel computations ...

Concurrent and parallel systems form the bedrock of modern computational infrastructures, enabling vast improvements in processing speed, efficiency and scalability. By orchestrating multiple ...

TUCSON, Ariz. (May 25, 2011) -- NVIDIA, the Silicon Valley-based leader in visual and parallel computing, has named the University of Arizona Department of Electrical and Computer Engineering a CUDA ...