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 ...

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing.

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 ...

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 ...

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 ...

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 ...

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 ...