Using a combination of AI and supercomputing resources, Argonne researchers are examining the dynamics of the SARS-CoV-2 spike protein to determine how it fuses with the human host cell, advancing the search for drug treatments.
The research is focused on using a high-performance, iterative reconstruction system for noninvasive imaging at synchrotron facilities.
The new projects will use DOE’s leadership-class supercomputers to pursue transformational advances in science and engineering.
The Supercomputing 2020 (SC20) conference, scheduled for November 9 – 19, virtually, will bring together the global high-performance computing (HPC) community, including researchers from the U.S. Department of Energy’s (DOE) Argonne National Laboratory, to share scientific computing advances and insights with an eye toward the upcoming exascale era.
The ALCF Data Science Program supports data-intensive analysis and AI projects that require the scale of leadership-class systems.
Habib is recognized for “pioneering fundamental physics applications from the smallest to largest scales on three decades of emerging forefront computing platforms.”
Argonne is combining simulation, data science and machine learning approaches to help realize the promise of exascale computing.
As the future home to Aurora exascale system, Argonne National Laboratory has been ramping up efforts to ready the supercomputer and its future users for science in the exascale era.
Creating software and applications for the world’s fastest supercomputers.
Globus, a research data management service developed by Argonne’s Ian Foster, Rajkumar Kettimuthu, Rachana Ananthakrishnan, and others, achieved an impressive milestone this week, breaking the exabyte barrier.