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ExaLearn: The ECP Co-Design Center for Machine Learning

In this video from the HPC User Forum, Frank Alexander from Brookhaven National Laboratory presents: ExaLearn – ECP Co-Design Center for Machine Learning. “It is increasingly clear that advances in learning technologies have profound societal implications and that continued U.S. economic leadership requires a focused effort, both to increase the performance of those technologies and to expand their applications. Linking exascale computing and learning technologies represents a timely opportunity to address those goals.”

General Atomics Fabricates First ITER Central Solenoid Module for Nuclear Fusion

Engineers at General Atomics have completed fabrication of the first ITER Central Solenoid Module for nuclear fusion. When the ITER fusion energy project in France powers up in 2025, its first operations will be enabled by the largest pulsed superconducting magnet ever built – a magnet that has roots in Southern California.

AMD to Power Exascale Cray System at ORNL

Today AMD announced a new exascale-class supercomputer to be delivered to ORNL in 2021. Built by Cray, the “Frontier” system is expected to deliver more than 1.5 exaFLOPS of processing performance on AMD CPU and GPU processors to accelerate advanced research programs addressing the most complex compute problems. “The combination of a flexible compute infrastructure, scalable HPC and AI software, and the intelligent Slingshot system interconnect will enable Cray customers to undertake a new age of science, discovery and innovation at any scale.”

OSS rolls out GPUltima Rugged Rack-Scale AI Solution

Today One Stop Systems announced plans to demonstrate its award winning AI on the Fly system platforms at the Sea-Air-Space 2019 conference in Maryland. The company’s AI-system platforms accelerate autonomous vehicles, record high-speed surveillance data, detect real-time threats, deploy countermeasures and sift through mountains of radio transmission data to keep the warfighter at the forefront of AI technology.

New HeSpaDDA Algorithm Distributes Parallel Workloads on LANL Supercomputers

Researchers at Los Alamos National Lab have developed new software to distribute computation more efficiently and across increasing numbers of supercomputer processors. This new decomposition approach for molecular dynamics simulation is called the heterogeneous spatial domain decomposition algorithm, or HeSpaDDA. “In a nutshell, the proposed algorithm will make use of a priori knowledge of the system setup. Specifically, the region which is computationally less expensive.”

European Processor Initiative: The EuroHPC Industrial Cornerstone

Mario Kovač from EPI gave this talk at the Swiss HPC Conference. “EPI will provide to the European industry and research a competitive HPC platform and data processing solutions at world class level in the best interest of data security and ownership. Thanks to such new European technologies, European scientists and industry will be able to access exceptional levels of energy-efficient computing performance. This will benefit Europe’s scientific leadership, industrial competitiveness, engineering skills and know-how and the society as whole.”

Sandia Powers Breakthroughs in Neuromorphic Computing

Researchers at Sandia National Laboratories have collaborated with Stanford University and University of Massachusetts, Amherst to address the challenges of neuromorphic computing, which mimics the way the human brain carries out data-centric tasks. The work has lead to recent breakthroughs in neuromorphic computing and the broader fields of organic electronics and solid-state electrochemistry.

Video: NAG Launches HPC Cost of Ownership Calculator

In this video, Mike Croucher from NAG demonstrates the company’s new Total Cost of Ownership Calculator for HPC. “Should your next HPC procurement be on-premise or in the cloud? This is one of the questions that our clients ask us to help with and part of the answer involves Total Cost of Ownership of the resulting facility. This calculator is provided as a working example of a TCO model.”

GPU Technology Conference Returns to DC in November

NVIDIA’s GPU Technology Conference will returns to Washington, D.C. Nov 5-6, 2019. “GTC is the premier AI and deep learning conference series, providing you with training, insights, and direct access to experts from NVIDIA and other leading organizations. Join NVIDIA for the latest breakthroughs in self-driving cars, accelerated data science, healthcare, big data, high-performance computing, virtual reality, and more.”

Long Live Posix – HPC Storage and the HPC Datacenter

Robert Triendl from DDN gave this talk at the Swiss HPC Conference. “The Portable Operating System Interface (POSIX) is a family of standards specified by the IEEE Computer Society for maintaining compatibility between operating systems. Since it was developed over 30 years ago, storage has changed dramatically. To improve the IO performance of applications, many users have called for the relaxation in POSIX IO that could lead to the development of new storage mechanisms to improve not only application performance, but management, reliability, portability, and scalability.”