“At the same time, they’ll need to be able to tackle tasks where the information is incomplete - where there are no first principles to work with,” Jen-Hsun explained. “The next generation of supercomputers,” Jen-Hsun said, “will be able to do both kinds of work - performing 64-bit floating point math to tackle computational science challenges, such as predicting physical and biological behavior.”

NVIDIA is focused on unleashing the power of parallel computing in order to achieve new machine able to help us to understand our world on a different perspective. “If you’re going to shoot for the Moon, you’re going to need a big rocket, so we decided to build one of the world’s greatest supercomputers,” Jen-Hsun said. Like every year, AMD and NVIDIA presented a joint all-day tutorial. Nvidia’s latest GPU architecture, Pascal, has been long anticipated by gamers, but its introduction at GTC 2016 instead focused on extreme high-end gaming. Unveiled earlier today, it’s ranked the world’s most efficient - and 28th fastest overall - on the Top500 list of supercomputers. TAIPEI, /PRNewswire/ - TAITRA (Taiwan External Trade Development Council) today announced that NVIDIA founder and CEO Jensen Huang will deliver the. The Game Developer Conference 2016 (GDC16) was held March 14-18 in the Moscone Center. Jen-Hsun also spoke about the new NVIDIA DGX SATURNV supercomputer, and how it’s speeding work on CANDLE.“It’s going to make it possible for scientists and researchers to use deep learning, as well as computational sciences, to address some of the urgent challenges of cancer,” Jen-Hsun said. government’s Project Moonshot cancer research effort. Department of Energy and several national laboratories to help build an AI framework dubbed CANDLE - for Cancer Distributed Learning Environment - to support the U.S. NVIDIA announced that it is teaming up with the National Cancer Institute, the U.S.“We’re partnering with the company with the largest reach with companies around the world, and we now have the ability to bring AI to companies all around the world,” Jen-Hsun said.

Microsoft and NVIDIA announced the Microsoft Cognitive Toolkit, the first purpose-built enterprise AI framework optimized to run on NVIDIA Tesla GPUs in Microsoft Azure on on-premises.

Gpu-accelerated sparse matrix-matrix multiplication for linear scaling density functional theory. The Super Computing Conference was also the occasion for NVIDIA to make three major announcements: In Proceedings of the Cray User Group Conference, 2016.

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