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Call for Proposals: Get on Big Iron with the ALCF Data Science Program

The ALCF Data Science Program at Argonne has issued its Call for Proposals. The program aims to accelerate discovery across a broad range of scientific domains which require data-intensive and machine learning algorithms to address challenging research problems. “Ongoing and past ADSP projects span a diverse range of science domains, e.g. Materials, Imaging, Neuroscience, Engineering, Combustion/CFD, Cosmology; and involve large science collaborations.”

Video: The Exascale Computing Project and the Future of HPC

Doug Kothe from ORNL presented this ACM Tech Talk in April, 2019. “The ECP is designing the software infrastructure to enable the next generation of supercomputers—systems capable of more than 1018 operations per second—to effectively and efficiently run applications that address currently intractable problems of strategic importance. The ECP is creating and deploying an expanded and vertically integrated software stack on DOE HPC exascale and pre-exascale systems, thereby defining the enduring US exascale ecosystem.”

Podcast: Intel to Deliver Exascale for the Advancement of Science

In this Chip Chat podcast, Trish Damkroger from Intel outlines a few of the key technologies coming to the Aurora supercomputer in 2021. To enable Exascale levels of performance, Aurora will be built with a future generation Intel Xeon Scalable processor, the recently announced Intel Xe compute architecture, and Intel Optane DC persistent memory. Built by subcontractor Cray, Aurora will enable ground-breaking science such as precision medicine, climate modeling, weather forecasting, and materials science.

DOE Announces $20 Million in AI Research Funding

DOE’s Office of Electricity has selected eight projects to receive nearly $7 million in total to explore the use of big data, artificial intelligence, and machine learning technologies to improve existing knowledge and discover new insights and tools for better grid operation and management. DOE’s Office of Science announced a plan to provide $13 million in total funding for new research aimed at improving A.I. as a tool of scientific investigation and prediction.

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.