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  • Visualization of particle acceleration in magnetic reconnection

Fields and flows fire up cosmic accelerators

Researchers from the SLAC National Accelerator Laboratory are using Mira to conduct thorough investigations of plasma physics to discern the fundamental processes that accelerate particles. The answers could provide an understanding of how cosmic rays gain their energy and how similar acceleration mechanisms could be probed in the laboratory and used for practical applications.

May 15, 2017

Close computation from far away: On-demand analysis fuels frontier science

This is the first instance of an automatically triggered, between-shot fusion science analysis code running on-demand at a remotely located high-performance computing resource. 

May 01, 2017
  • Visualization of segmentation of the vasculature in an entire mouse brain

ALCF seeking proposals to advance big data problems in big science

The Argonne Leadership Computing Facility Data Science Program (ADSP) is now accepting proposals for projects hoping to gain insight into very large datasets produced by experimental, simulation, or observational methods.

April 24, 2017

The hole picture

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

April 21, 2017
  • INCITE

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

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