Integrating Cryo-EM with AI-DrivenMulti-Resolution Simulations to Observe the SARS-CoV-2 Replication-Transcription Machinery in Action
At SC21, Dr. Venkatram Vishwanath (Data Science Team Lead, Argonne Leadership Computing Facility), Jessica Liu (Product Director, Cerebras Systems), and Rebecca Lewington (Technology Evangelist, Cerebras Systems) discuss Argonne’s work with a Cerebras CS-2 system and ALCF’s new AI Testbed.
This visualization shows the results of a state-of-the-art 3D simulation of supernova explosion and neutron-star birth. Highlighted among others things is the deep core that is shrinking after explosion due to neutrino cooling and deleptonization on its way to becoming a cold, compact neutron star.
This visualization shows the turbulent motion of air inside the cylinder of a piston-engine. Of particular interest are the high cycle-to-cycle variations (CCV), especially near complex geometric features like spark-plugs, which are caused by large-scale variations in flow structures and multi-physical phenomena that affect performance.
This movie shows the envelope structures of an 80 solar mass star with initial rotating velocity of 50% of the critical value. Isocontours show the gas density while streamlines represent the flow velocity, and are colored according to the radiation energy density.
U.S. Department of Energy and Intel will deliver exascale technology to Argonne National Laboratory.
Researchers from the University of Southern California and the Southern California Earthquake Center are using ALCF supercomputers to enhance…