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AMD to Power 2 Exaflop El Capitan Supercomputer from HPE

Today HPE announced that it will deliver the world’s fastest exascale-class supercomputer for NNSA at a record-breaking speed of 2 exaflops – 10X faster than today’s most powerful supercomputer. ‘El Capitan is expected to be delivered in early 2023 and will be managed and hosted by LLNL for use by the three NNSA national laboratories: LLNL, Sandia, and Los Alamos. The system will enable advanced simulation and modeling to support the U.S. nuclear stockpile and ensure its reliability and security.”

Argonne Publishes AI for Science Report

Argonne National Lab has published a comprehensive AI for Science Report based on a series of Town Hall meetings held in 2019. Hosted by Argonne, Oak Ridge, and Berkeley National Laboratories, the four town hall meetings were attended by more than 1,000 U.S. scientists and engineers. The goal of the town hall series was to examine scientific opportunities in the areas of artificial intelligence (AI), Big Data, and high-performance computing (HPC) in the next decade, and to capture the big ideas, grand challenges, and next steps to realizing these opportunities.

Podcast: Simplifying the Deployment of HPC Tools and Libraries

In this Let’s Talk Exascale podcast, Sameer Shende from the University of Oregon describes progress on the Extreme-scale Scientific Software Stack. E4S is a community effort to provide open-source software packages for developing, deploying, and running scientific applications on HPC platforms. “Container technology is promising because it enables the user to take an existing set of libraries and tools, consider the dependency metrics of a particular software product, and deploy the software efficiently. And there’s only one kernel that’s running when a container is deployed, unlike other virtualization approaches. So it’s very efficient.”

MLPerf-HPC Working Group seeks participation

In this special guest feature, Murali Emani from Argonne writes that a team of scientists from DoE labs have formed a working group called MLPerf-HPC to focus on benchmarking machine learning workloads for high performance computing. “As machine learning (ML) is becoming a critical component to help run applications faster, improve throughput and understand the insights from the data generated from simulations, benchmarking ML methods with scientific workloads at scale will be important as we progress towards next generation supercomputers.”

Podcast: Co-Design for Online Data Analysis and Reduction at Exascale

In this Let’s Talk Exascale podcast, Ian Foster from Argonne National Lab describes how the CODAR project at ECP is addressing the needs for data reduction, analysis, and management in the exascale era. “When compressing data produced by a simulation, the idea is to keep the parts that are scientifically interesting and toss those that are not. However, every application and, perhaps, every scientist, has a different definition of what “interesting” means in that context. So, CODAR has developed a system called Z-checker to enable users to monitor the compression method.”

Swiss Conference & HPCXXL User Group Events Return to Lugano

The Swiss National Supercomputing Centre will host the 11th annual Swiss Conference and bi-annual HPCXXL Winter Meeting April 6-9 in Lugano, Switzerland. “Explore the domains and disciplines driving change and progress at an unprecedented pace and join us at the Swiss HPC Conference. Gather with fellow colleagues, a recognizable lineup of industry giants, startups, technology innovators and renowned subject matter experts to share insights on the tools, techniques and technologies that are bringing private and public research communities and interests together and inspiring entirely new possibilities.”

HPC User Forum to Explore AI-HPDA Use In Banking and Investment Firms

Today Hyperion Research announced high-profile speakers from major banking and investment firms will highlight the agenda at the next HPC User Forum. Thomas Thurston, CTO of WR Hambrecht Ventures, and Brad Spiers, executive director at JP Morgan Chase will deliver keynote talks at the event, which takes place March 30-April 1 in Princeton, New Jersey. “The HPC User Forum meeting will also feature talks by U.S. and international experts on exascale computing and architectures, massive-scale analytics, AI for cyber operations, cancer research, fusion energy, seismology, HPC for small businesses, cloud computing, and quantum computing, along with technical updates from HPC vendors.”

UK to establish Northern Intensive Computing Environment (NICE)

The N8 Centre of Excellence in Computationally Intensive Research, N8 CIR, has been awarded £3.1m from the Engineering and Physical Sciences Resources Council to establish a new Tier 2 computing facility in the north of England. This investment will be matched by £5.3m from the eight universities in the N8 Research Partnership which will fund operational costs and dedicated research software engineering support. “The new facility, known as the Northern Intensive Computing Environment or NICE, will be housed at Durham University and co-located with the existing STFC DiRAC Memory Intensive National Supercomputing Facility. NICE will be based on the same technology that is used in current world-leading supercomputers and will extend the capability of accelerated computing. The technology has been chosen to combine experimental, modelling and machine learning approaches and to bring these specialist communities together to address new research challenges.”

Exascale Computing Project Announces Staff Changes Within Software Technology Group

The US Department of Energy’s Exascale Computing Project (ECP) has announced the following staff changes within the Software Technology group. Lois Curfman McInnes from Argonne will replace Jonathan Carter as Deputy Director for Software Technology. Meanwhile Sherry Li is now team lead for Math Libraries. “We are fortunate to have such an incredibly seasoned, knowledgeable, and respected staff to help us lead the ECP efforts in bringing the nation’s first exascale computing software environment to fruition,” said Mike Heroux from Sandia National Labs.

Postdoc Symposium at Berkeley Lab Looks to Exascale for Modeling and Simulation

Twenty-two postdoctoral fellows from across the Computing Sciences Area shared the status of their current projects at the first CSA Postdoc Symposium, held January 30-31 at Berkeley Lab. Their presentations covered a broad range of research topics, including code optimization, machine/deep learning, network routing, modeling and simulation of complex scientific problems, exascale, and other next-generation computer architectures.