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Watch the Thursday Livestream from the Nvidia Booth at SC16

Couldn’t make it SC16? Tune in right here on insideHPC to watch all the Nvidia Theater talks this week. “Come join NVIDIA at SC16 to learn how AI supercomputing is breaking open a world of limitless possibilities. This is an era of multigenerational discoveries taking place in a single lifetime. See how other leaders in the field are advancing computational science across domains, get free hands-on training with the newest GPU-accelerated solutions, and connect with NVIDIA experts.”

One Stop Systems Introduces a New Line of GPU Accelerated Servers for Deep Learning at SC16

Today One Stop Systems announced two new deep learning appliances that leverage the NVIDIA NVLink. One Stop Systems’ deep learning appliances are designed for augmented performance in machine learning and deep learning applications. These appliances provide the ultimate power for performing deep learning training and exploring neural networks,” said Steve Cooper, OSS CEO. “The OSS-PASCAL4 and OSS-PASCAL8 […]

Video: Jen-Hsun Huang Keynote from the Nvidia Booth at SC16

Watch this video of Nvidia CEO Jen-Hsun Huang’s talk from SC16 in Salt Lake City. Can’t make it to the show? Tune in right here on insideHPC to watch Nvidia talks all this week. “See how other leaders in the field are advancing computational science across domains, get free hands-on training with the newest GPU-accelerated solutions, and connect with NVIDIA experts.”

Fireside Chat: Dr. Eng Lim Goh on New Trends in HPC Energy Efficiency & Deep Learning

In this video from SC16, Dr. Eng Lim Goh from HPE/SGI discusses new trends in HPC Energy Efficiency and Deep Learning. “SGI’s leadership in data analytics derives from deep expertise in High Performance Computing and over two decades delivering many of the world’s fastest supercomputers. Leveraging this experience and SGI’s innovative shared and distributed memory computing solutions for data analytics enables organizations to achieve greater insight, accelerate innovation, and gain competitive advantage.”

OpenACC Gains Momentum in 2016

The OpenACC standards group today announced several major milestones including the addition of new member, the National Supercomputing Center in Wuxi, the adoption of OpenACC by several major HPC applications, the addition of support for new target platforms and expanded implementation

GPU Accelerators in Today’s Data Center: Performance & Efficiency

NVIDIA is a leading provider of GPU accelerators that are used in many High Performance Computing environments. This research paper from Gabriel Consulting Group explains the need for this new generation of hardware in today’s data center and looks at what new technologies actual users are looking for.

SC16 to Showcase Latest Advances in HPC

SC16 returns to Salt Lake City on Nov. 13-18. The Six-day supercomputing event features internationally-known expert speakers, cutting-edge workshops and sessions, a non-stop student competition, the world’s largest supercomputing exhibition,panel discussions and much more. “No other annual event showcases the revolutionary advances and possibilities of high performance computing than the annual ACM/IEEE International Conference for High Performance Computing, Networking, Data Storage Analysis. From the impact of HPC on the future of medicine, to its transformative power in developing countries and “smart cities.” SC is the premiere venue for presenting leading-edge HPC research.”

insideHPC Research Report on GPUs

In this research report, we reveal recent research showing that customers are feeling the need for speed—i.e. they’re looking for more processing cores. Not surprisingly, we found that they’re investing more money in accelerators like GPUs and moreover are seeing solid positive results from using GPUs. In the balance of this report, we take a look at these finding and and the newest GPU tech from NVIDIA and how it performs vs. traditional servers and earlier GPU products.

Ace Computers Adds NVIDIA Tesla P100 to HPC Clusters

Today Ace Computers from Illinois announced that the company is integrating the new Nvidia Tesla P100 accelerators into select HPC clusters. “Nvidia has been a trusted partner for many years,” said Ace Computers CEO John Samborski. “We are especially enthusiastic about this P100 accelerator and the transformative effect it promises to have on the clusters we are building for enterprises, academic institutions and research facilities.”

Will Deep Learning Scale to Supercomputers?

Are supercomputers practical for Deep Learning applications? Over at the Allinea Blog, Mark O’Connor writes that a recent experiment with machine learning optimization on the Archer supercomputer shows that relatively simple models run at sufficiently large scale can readily outperform more complex but less scalable models. “In the open science world, anyone running a HPC cluster can expect to see a surge in the number of people wanting to run deep learning workloads over the coming months.”