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 ...

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 ...

Increasingly complex applications such as artificial intelligence require ever more powerful and power-hungry computers to run. Optical computing is a proposed solution to increase speed and power ...

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

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 ...

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 ...

The enormous growth in artificial intelligence (AI) and Internet of Things (IoT) is fueling a growing demand for high-efficiency computing to perform real-time analysis on massive amounts of data. In ...

BURLINGAME, Calif.--(BUSINESS WIRE)--Quadric (quadric.io), an innovator in high-performance edge processing, has introduced a unified silicon and software platform that unlocks the power of on-device ...