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First Annual Exascale Day on 10/18 to Celebrate Supercomputing Discoveries

“Exascale Day celebrates the scientists and researchers who make breakthrough discoveries with the help of some of the fastest supercomputers in the world. Exascale Day celebrates those who keep asking what if, why not, and what’s next — with the advanced technology to attain the answers. The founding organizations have established National Exascale Day as a registered holiday to be celebrated annually on October 18 (1018).”

Video: Exascale Computing Project Application Development

Andrew Siegel from Argonne 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. ECP is chartered with accelerating delivery of a capable exascale computing ecosystem to provide breakthrough modeling and simulation solutions to address the most critical challenges in scientific discovery, energy assurance, economic competitiveness, and national security.”

Video: AI for Science

Rick Stevens from Argonne gave this talk at the HPC User Forum. “Argonne has launched an “AI for Science” initiative aimed at accelerating the development and adoption of AI approaches in scientific and engineering domains with the goal to accelerate research and development breakthroughs in energy, basic science, medicine, and national security, especially where we have significant volumes of data and relatively less developed theory. AI methods allow us to discover patterns in data that can lead to experimental hypotheses and thus link data driven methods to new experiments and new understanding.”

Deep Learning at scale for the construction of galaxy catalogs

A team of scientists is now applying the power of artificial intelligence (AI) and high-performance supercomputers to accelerate efforts to analyze the increasingly massive datasets produced by ongoing and future cosmological surveys. “Deep learning research has rapidly become a booming enterprise across multiple disciplines. Our findings show that the convergence of deep learning and HPC can address big-data challenges of large-scale electromagnetic surveys.”

DOE Funds Argonne for better materials and chemistry through data science

Argonne is one of five national laboratories and fourteen universities awarded three-year grants under a DOE Funding Opportunity titled ​“Data Science for Discovery in Chemical and Materials Sciences.” Argonne was awarded funding for two research projects. Total funding will be nearly $4.75 million over three years.

HPC Market Update from Hyperion Research

In this video from the HPC User Forum at Argonne, Earl Joseph from Hyperion Research presents and HPC Market Update. The company helps IT professionals, business executives, and the investment community make fact-based decisions on technology purchases and business strategy.

Department of Energy awards Fermilab $3.5 million for quantum science

The U.S. Department of Energy has awarded researchers at its Fermi National Accelerator Laboratory more than $3.5 million to boost research in the fast-emerging field of Quantum Information Science. “Few pursuits have the revolutionary potential that quantum science presents,” said Fermilab Chief Research Officer Joe Lykken. “Fermilab’s expertise in quantum physics and cryogenic engineering is world-class, and combined with our experience in conventional computing and networks, we can advance quantum science in directions that not many other places can.”

Registration Opens for September HPC User Forum at Argonne

Registration is now open for the HPC User Forum at Argonne National Lab. “Our global steering committee representing leading HPC centers has worked with Hyperion Research to provide a powerful agenda representing key trends at the forefront of government, academic and private sector HPC use around the world. You’ll hear about recent developments in the exascale race, architectures, HPDA-AI, smart cities, cloud computing, industrial-commercial HPC and other important topics.”

Argonne Team Breaks Record with 2.9 Petabytes Globus Data Transfer

Today the Globus research data management service announced the largest single file transfer in its history: a team led by Argonne National Laboratory scientists moved 2.9 petabytes of data as part of a research project involving three of the largest cosmological simulations to date. “With exascale imminent, AI on the rise, HPC systems proliferating, and research teams more distributed than ever, fast, secure, reliable data movement and management are now more important than ever,” said Ian Foster.

Panel Discussion: Exascale and Beyond – Challenges in Productive and Sustainable Software

In this video from PASC 2019, Lois Curfman McInnes from Argonne and Rich Brueckner from insideHPC moderate a panel discussion on the challenges of software development for exascale supercomputers. “Software—the key crosscutting technology by which teams collaborate toward predictive science—is dramatically increasing in complexity due to disruptive architectural changes, multiphysics and multiscale modeling, the coupling of simulations and data analytics, and the demand for greater reproducibility and sustainability.”