Web Articles

  • Secretary of Energy Rick Perry tours the ALCF machine room.

Argonne welcomes Department of Energy Secretary Perry

U.S. Department of Energy (DOE) Secretary Rick Perry visited Argonne National Laboratory yesterday, getting a first-hand view of the multifaceted and interdisciplinary research program laboratory of the Department. In his first stop at the laboratory since his confirmation as Secretary of Energy last year, Perry toured two of the laboratory’s standout national user facilities: the Advanced Photon Source (APS) and the Argonne Leadership Computing Facility (ALCF).

January 10, 2018
  • Jini Ramprakash

ALCF’s Ramprakash recognized with AWIS Motivator Award

In recognition of her mentoring and outreach efforts, Jini Ramprakash, ALCF Deputy Division Director, received the 2017 Motivator Award from the Association of Women in Science (AWIS) Chicago Chapter.

December 05, 2017

Argonne Training Program on Extreme-Scale Computing scheduled for July 29-August 10, 2018

Computational scientists now have the opportunity to apply for the upcoming Argonne Training Program on Extreme-Scale Computing (ATPESC), to take place from July 29-August 10, 2018.

December 01, 2017
  • Image courtesy of Hewlett Packard Enterprise

Argonne to Install Comanche System to Explore ARM Technology for HPC

Argonne will install a 32-node Comanche Wave prototype ARM64 server platform in its testing and evaluation environment, the Joint Laboratory for System Evaluation, in early 2018. Argonne researchers from various computing divisions will run applications on the ecosystem and provide performance feedback to HPE and partnering vendors.

November 17, 2017

CANDLE shines in 2017 HPCwire Readers’ and Editors’ Choice Awards

The U.S. Department of Energy’s (DOE) Argonne National Laboratory has been recognized in the annual HPCwire Readers’ and Editors’ Choice Awards, presented at the 2017 International Conference for High Performance Computing, Networking, Storage and Analysis (SC17), in Denver, Colorado.

November 14, 2017
  • 2018 INCITE awards

Supercomputing Award of 5.95 Billion Hours to 55 Computational Research Projects

The U.S. Department of Energy’s Office of Science announced 55 projects with high potential for accelerating discovery through its Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. The projects will share 5.95 billion core-hours on three of America’s most powerful supercomputers dedicated to open science and support a broad range of large-scale research campaigns from infectious disease treatment to next-generation materials development.

November 13, 2017
  • Argonne forms two new divisions

Argonne forms new divisions to focus on computation and data science

The U.S. Department of Energy’s (DOE) Argonne National Laboratory has formed two new research divisions to focus its lab-wide foundational expertise on computational science and data science activities. The new units — the Computational Science Division, led by Argonne Distinguished Fellow Paul Messina; and the Data Science and Learning Division, led by Argonne Distinguished Fellow Ian Foster — are part of Argonne’s overall advanced computing strategy to enhance lab-wide, cross-cutting capabilities to enable new scientific knowledge and insight in a wide range of disciplines.

November 10, 2017

The flat and the curious

Argonne researchers used ALCF computing resources to simulate the growth of the 2-D material silicene. Their work delivers new insights on the material’s properties and provides a predictive model for researchers studying other 2-D materials.

November 07, 2017
  • SC17 logo

Argonne researchers to play a major role at SC17

At SC17, more than 40 Argonne researchers will share their expertise and work in extreme-scale computing through a wide range of activities, including technical paper presentations, invited talks, workshops, panel discussions and tutorials.

October 31, 2017
  • Jupiter dynamo simulation

The inner secrets of planets and stars

An INCITE research team, led by Jonathan Aurnou of UCLA, is using Mira to develop advanced models to study magnetic field generation on Earth, Jupiter, and the Sun at an unprecedented level of detail. A better understanding of this process will provide new insights into the birth and evolution of the solar system, and shed light on planetary systems being discovered around other stars. Data from the Jupiter simulations will be compared to observational data from NASA’s Juno mission.

October 31, 2017