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Video: Simulations of Antarctic Meltdown should send chills on Earth Day

In this video, researchers investigate the millennial-scale vulnerability of the Antarctic Ice Sheet (AIS) due solely to the loss of its ice shelves. Starting at the present-day, the AIS evolves for 1000 years, exposing the floating ice shelves to an extreme thinning rate, which results in their complete collapse. The visualizations show the first 500 […]

DOE Extending Quantum Networks for Long Distance Entanglement

Scientists from Brookhaven National Laboratory, Stony Brook University, and DOE’s Energy Sciences Network (ESnet) are collaborating on an experiment that puts U.S. quantum networking research on the international map. Researchers have built a quantum network testbed that connects several buildings on the Brookhaven Lab campus using unique portable quantum entanglement sources and an existing DOE ESnet communications fiber network—a significant step in building a large-scale quantum network that can transmit information over long distances.

Exascale Computing Project Software Activities

Mike Heroux from Sandia National Labs gave this talk at the HPC User Forum. “The Exascale Computing Project is accelerating delivery of a capable exascale computing ecosystem for breakthroughs in scientific discovery, energy assurance, economic competitiveness, and national security.The goal of the ECP Software Technology focus area is to develop a comprehensive and coherent software stack that will enable application developers to productively write highly parallel applications that can portably target diverse exascale architectures.”

ExaLearn Project to bring Machine Learning to Exascale

As supercomputers become ever more capable in their march toward exascale levels of performance, scientists can run increasingly detailed and accurate simulations to study problems ranging from cleaner combustion to the nature of the universe. Enter ExaLearn, a new machine learning project supported by DOE’s Exascale Computing Project (ECP), aims to develop new tools to help scientists overcome this challenge by applying machine learning to very large experimental datasets and simulations. 

Video: Intel and Cray to Build First USA Exascale Supercomputer for DOE in 2021

Today Intel announced plans to deliver the first exaflop supercomputer in the United States. The Aurora supercomputer will be used to dramatically advance scientific research and discovery. The contract is valued at more than $500 million and will be delivered to Argonne National Laboratory by Intel and sub-contractor Cray in 2021. “Today is an important day not only for the team of technologists and scientists who have come together to build our first exascale computer – but also for all of us who are committed to American innovation and manufacturing,” said Bob Swan, Intel CEO.”

Podcast: ECP EXAALT Program Extends the Reach of Molecular Dynamics

Computationally, EXAALT’s goal is to develop a comprehensive molecular dynamics capability for exascale. “The user should be able to say, ‘I’m interested in this kind of system size, timescale, and accuracy,’ and directly access the regime without being constrained by the usual scaling paths of current codes,” said Danny Perez of Los Alamos National Laboratory (LANL) and the EXAALT team.

Report: NREL Economic Impact Tops $1 Billion

What are the economic benefits of HPC? A new study by the University of Colorado Boulder’s Leeds School of Business indicates that the economic impact of NREL amounted to more than $1.1 billion nationwide, while the impact on Colorado’s economy came in at nearly $748 million. “The lab’s highly skilled workforce, innovative facilities, and business partnerships are key to the region’s economic vitality.”

DOE powers Aluminum and Steelmaking Research through HPC4Manufacturing Program

Today the HPC4Manufacturing Program announced four federal funding awards for solving key manufacturing challenges in steelmaking and aluminum production through supercomputing. “Primary metals industries are significant energy users, so opportunities to reduce energy consumption in this area is of great interest to our sponsors,” said HPC4Manufacturing Director Robin Miles of LLNL. “Additionally, this program is helping U.S. steel makers produce the higher strength steels vital to light weighting the next generation of automobiles.”

NREL Chooses Qumulo’s File Storage for Eagle Supercomputer

Today ​Qumulo announced that the ​National Renewable Energy Laboratory (NREL)​ has selected Qumulo’s file storage solution for its Computational Science Center. “With the impact of climate change, it’s crucial for organizations such as NREL to adopt technologies that accelerate their research and outcomes. “With Qumulo’s incredibly scalable architecture and real-time file analytics, the NREL team can gain better insight into their data, and in turn focus more effectively on their mission to drive innovation in energy efficiency and renewable energy technologies.”

John Shalf and Thomas Sterling to Keynote ISC 2019 in Frankfurt

Today ISC 2019 announced that its lineup of keynote speakers will include John Shalf from LBNL and Thomas Sterling from Indiana University. The event takes place June 16-20 in Frankfurt, Germany. “On June 18, John Shalf, from Lawrence Berkeley National Laboratory will offer his thoughts on how the slowdown and eventual demise of Moore’s Law will affect the prospects for high performance computing in the next decade. On June 19, Thomas Sterling will present his annual retrospective of the most important developments in HPC over the last 12 months.”