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The hole picture

Researchers tap supercomputers & synchrotrons to understand how hollow nanoparticles form.

April 21, 2017

U.S. Department of Energy’s INCITE program seeks advanced computational research proposals for 2018

From April 17 to June 23, INCITE’s open call provides an opportunity for researchers to make transformational advances in science and technology through large allocations of computer time and supporting resources at the Leadership Computing Facility (LCF) centers located at Argonne and Oak Ridge national laboratories.

April 17, 2017
  • Field programmable gate array

Chipping Away

Hal Finkel – lead for compiler technology and programming languages at the Argonne Leadership Computing Facility – has been exploring using field-programmable gate arrays for scientific HPC in collaboration with Kazutomo Yoshii and Franck Cappello from Argonne’s Mathematics and Computer Science Division.

April 03, 2017
  • Broader Engagement at SIAM CSE 2017

ALCF participates in program to increase diversity in STEM fields

At the annual Society of Industrial and Applied Mathematics (SIAM) Computational Science and Engineering (CSE) Conference, the Broader Engagement (BE) program is helping to create a more inclusive environment for underrepresented groups, such as women, minorities, and people with disabilities. Richard Coffey of the ALCF volunteered for the program.

April 03, 2017
  • Simulation of a vector boson plus jet event

High-precision calculations help reveal the physics of the universe

On their quest to uncover what the universe is made of, researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory are harnessing the power of ALCF supercomputers to make predictions about particle interactions that are more precise than ever before.

March 09, 2017
  • ALCF hosts Cray Urika-GX workshop

ALCF hosts training workshop for new data analytics platform

In December, a group of 38 researchers gathered at the laboratory to learn how a new system, named Sage, can help advance their data-intensive science problems. Hosted by the Argonne Leadership Computing Facility (ALCF), the two-day workshop, led by experts from Cray, provided an overview of the new system’s features and capabilities, and an opportunity for collaborative, hands-on training sessions.

January 31, 2017
  • Visualization of instantaneous isosurface of vorticity (Q) from a detached eddy simulation of a vertical tail/rudder assembly with flow control from a single, active synthetic jet.

Early Science Projects for Aurora Supercomputer Announced

The Argonne Leadership Computing Facility (ALCF), a Department of Energy Office of Science User Facility, has selected 10 computational science and engineering research projects for its Aurora Early Science Program starting this month. Aurora, a massively parallel, manycore Intel-Cray supercomputer, will be ALCF’s next leadership-class computing resource and is expected to arrive in 2018.

January 30, 2017
  • Recent advances pull researchers one step closer to tailor-made drug design

A rising peptide: Supercomputing helps scientists come closer to tailoring drug molecules

With the use of Mira at the ALCF, a team of researchers led by biophysicists at the University of Washington have come one step closer to designing tailor-made drug molecules that are more precise and carry fewer side effects than most existing therapeutic compounds.

January 23, 2017

2017 Argonne Training Program on Extreme-Scale Computing (ATPESC) Scheduled for July 30-August 11, 2017

Computational scientists now have the opportunity to apply for the upcoming Argonne Training Program on Extreme-Scale Computing (ATPESC), scheduled for July 30 to August 11, 2017 near Chicago, IL.

January 16, 2017
  • Instruments deployed in the Columbia River Gorge region

Supercomputer simulations helping to improve wind predictions

A research team led by the National Oceanic and Atmospheric Administration (NOAA) is performing simulations at the Argonne Leadership Computing Facility (ALCF), a U.S. Department of Energy (DOE) Office of Science User Facility, to develop numerical weather prediction models that can provide more accurate wind forecasts in regions with complex terrain. The team, funded by DOE in support of its Wind Forecast Improvement Project II (WFIP 2), is testing and validating the computational models with data being collected from a network of environmental sensors in the Columbia River Gorge region.

January 03, 2017