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Scaling Deep Learning for Scientific Workloads on the #1 Summit Supercomputer

Jack Wells from ORNL gave this talk at the GPU Technology Conference. “HPC centers have been traditionally configured for simulation workloads, but deep learning has been increasingly applied alongside simulation on scientific datasets. These frameworks do not always fit well with job schedulers, large parallel file systems, and MPI backends. We’ll share benchmarks between native compiled versus containers on Power systems, like Summit, as well as best practices for deploying learning and models on HPC resources on scientific workflows.”

Video: How Intel Data-Centric Technologies will power the Frontera Supercomputer at TACC

In this video, researchers from the Texas Advanced Computing Center describe how Intel data-centric technologies power the Frontera supercomputer, which is currently under installation. “This system will provide researchers the groundbreaking computing capabilities needed to grapple with some of science’s largest challenges. Frontera will provide greater processing and memory capacity than TACC has ever had, accelerating existing research and enabling new projects that would not have been possible with previous systems.”

Video: NVIDIA Showcases Programmable Acceleration of multiple Domains with one Architecture

In this video from GTC 2019 in Silicon Valley, Marc Hamilton from NVIDIA describes how accelerated computing is powering AI, computer graphics, data science, robotics, automotive, and more. “Well, we always make so many great announcements at GTC. But one of the traditions Jensen has now started a few years ago is coming up with a new acronym to really make our messaging for the show very, very simple to remember. So PRADA stands for Programmable Acceleration Multiple Domains One Architecture. And that’s really what the GPU has become.”

Video: Jensen Huang Keynote and News Recap from GPU Technology Conference

In this video, NVIDIA CEO Jensen Huang delivers a sweeping opening keynote at San Jose State University, describing the company’s progress accelerating the sprawling datacenters that power the world’s most dynamic industries. “As a highlight, Mellanox CEO Eyal Waldman joined Huang on stage to describe how the two company’s technologies power more than half the world’s TOP500 fastest supercomputers.”

2019: The Year of PCI Express 4.0

Computer systems are about to get a whole lot faster. This year starting at the high end of the market a transition will begin toward systems based on PCI Express 4.0. The interconnect speed will double to 64GB/sec in a 16 lane connection. Tim Miller, Vice President Strategic Development for One Stop Systems, explores the expected speed and innovation stemming from the introduction of PCI Express 4.0. 

Swiss HPC Conference to Focus on Intersecting Interests, Industries, and Initiatives

Coming up in April, AI and HPC practitioners share passions for cutting-edge technology and breakthrough R&D in Lugano, Switzerland at the tenth annual Swiss Conference and HPCXXL User Group. The joint sessions take place at Palazzo dei Congressi, April 1-4, bringing leaders together from academia, government and industry to share first-hand insights on innovative research, techniques, tools and technologies that are fueling economies, productivity and progress globally.

Radio Free HPC Looks at NVIDIA’s acquisition of Mellanox

In this podcast, the Radio Free HPC team looks at NVIDIA’s acquisition of Mellanox. “This called for an emergency session of our crack panel. While it will be several months before the full impact of this merger is felt, the RFHPC team believes this will change both the HPC and the Datacenter markets. It also signals Nvidia’s journey towards becoming more of a systems company and gives them a better shot at the enterprise AI market.”

NVIDIA to Purchase Mellanox for $6.9 Billion

Today NVIDIA announced plans to acquire Mellanox for approximately $6.9 billion. The acquisition will unite two of the world’s leading companies in HPC. Together, NVIDIA’s computing platform and Mellanox’s interconnects power over 250 of the world’s TOP500 supercomputers and have as customers every major cloud service provider and computer maker.

Agenda Posted: OFA Workshop in Austin March 19-21

Today the OpenFabrics Alliance (OFA) posted the OFA Workshop 2019 Agenda & Abstracts for their upcoming OFA Workshop. With sessions on ranging from interoperability and remote persistent memory to deployment of fabric technologies, the meeting takes place March 19-21 in Austin, Texas. “Over the three-day event, attendees will be treated to a brand-new Workshop activity that further underscores the OFA’s commitment to fostering collaboration and adoption within the advanced fabrics community.”

Video: Why InfiniBand is the Way Forward for Ai and Exascale

In this video, Gilad Shainer from the InfiniBand Trade Association describes how InfiniBand offers the optimal interconnect technology for Ai, HPC, and Exascale. “Tthrough Ai, you need the biggest pipes in order to move those giant amount of data in order to create those Ai software algorithms. That’s one thing. Latency is important because you need to drive things faster. RDMA is one of the key technology that enables to increase the efficiency of moving data, reducing CPU overhead. And by the way, now, there’s all of the Ai frameworks that exist out there, supports RDMA as a default element within the framework itself.”