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Argonne addresses obstacles to clean water for all

“There’s essentially nothing you can make without water,” notes Seth Darling.

February 13, 2019
  • This plot shows the number of events ATLAS events simulated (solid lines) with and without containerization. Linear scaling is shown (dotted lines) for reference.

Software stack in a snapshot

Scaling code for massively parallel architectures is a common challenge the scientific community faces.

February 04, 2019

Argonne Training Program on Extreme-Scale Computing scheduled for July 28-August 9, 2019

Computational scientists now have the opportunity to apply for the upcoming Argonne Training Program on Extreme-Scale Computing (ATPESC), to take place from July 28-August 9, 2019.

January 09, 2019
  • Improving engine modeling and simulation

Machine learning award powers Argonne leadership in engine design

Argonne researchers are partnering with Convergent Science and Parallel Works to use machine learning algorithms and artificial intelligence to optimize simulations to better capture the real-world behavior of combustion engines. Funded by a Technology Commercialization Fund (TCF) award from the DOE, the team will use ALCF supercomputing resources as part of this engine modeling research project.

January 02, 2019
  • Fully compressible Rayleigh-Taylor simulation

ALCF supercomputers enable groundbreaking research in 2018

The Argonne Leadership Computing Facility (ALCF), a U.S. Department of Energy (DOE) Office of Science User Facility, had another fruitful year. ALCF users employed complex simulations, data science techniques, and machine learning to accelerate discoveries across scientific disciplines. As 2019 approaches, we take a look back at some of the remarkable advances ALCF supercomputing resources enabled this past year.

December 20, 2018
  • Proteins designed on computer and tested in the lab look a lot like DNA

Scientists program proteins to pair exactly

This article was originally published by UW Medicine Newsroom.

December 19, 2018
  • Tangled magnetic fields power cosmic particle accelerators

Tangled magnetic fields power cosmic particle accelerators

SLAC researchers performed simulations on the ALCF's Mira supercomputer to suggest a new mechanism to explain how a black hole’s plasma jets boost particles to the highest energies observed in the universe. The results could also prove useful for fusion and accelerator research on Earth.

December 17, 2018
  • Convection models of the sun

Astronomical magnetism

An INCITE research team used the ALCF’s Mira supercomputer to explore the internal dynamics of the sun, Jupiter, and Earth at an unprecedented level of detail.

December 13, 2018
  • ALCF Simulation, Data, and Learning Workshop

ALCF workshop prepares users for simulation, data, and learning research

In order to address the transforming research needs required across a variety of disciplines, the Argonne Leadership Computing Facility (ALCF), a U.S. Department of Energy Office of Science User Facility, held its second Simulation, Data, and Learning (SDL) Workshop.

From October 2 to October 4, 2018, the ALCF hosted more than 50 prospective and current users from laboratories and universities across the country. The training event enabled attendees to work side-by-side with ALCF staff members and industry experts from Intel, Cray, ARM, and Paratools to hone their abilities using tools, systems, and frameworks that can accelerate scientific computing on the threshold of the exascale era.

December 04, 2018
  • Darshan team

Argonne technologies receive 2018 R&D 100 Awards

Four Argonne research projects have earned R&D 100 Awards, long considered the ​Oscars” of scientific innovation. Two of the winners — Darshan and Swift/T — are advancing high-performance computing capabilities for science.

November 20, 2018

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