The COVID-19 High Performance Computing Consortium Bringing together the Federal government, industry, and academic leaders to provide access to the world’s most powerful high-performance computing resources in support of COVID-19 research. Over 402 petaflops, 105,334 nodes, 3,539,044 CPU cores, 41,286 GPUs, and counting.
The world's leading medical researchers are rushing to find a treatment for COVID-19 with the help of the most powerful and advanced supercomputers in the world.
Researchers aross the globe are submitting potential treatments
and cures to the COVID-19 High Performance Computing Consortium.
The consortium, using a network of supercomputers and
laboratotires, can run through simulations to narrow down or rule out drug
compounds to use in a cure much faster than traditional methods.
"It's a means by which one can begin to analyze
tremendously complex or large problems," says Vice President of Technical
Computing at IBM Cognitive Systems Dave Turek. "Pharmaceutical companies
may have billions of compounds that could be potential drugs."
Any researcher can submit proposals to the consortium for
the supercomputes to run through.
"So, there are very novel techniques, specifically
using A.I. on these supercomputers that are beginnign to speculate about new
kinds of molecules that could be created to treat COVID-19," says Turek.
The COVID-19 High Performance Computing Consortium is a
unique private-public effort spearheaded by the White House Office of Science
and Technology Policy, the U.S. Department of Energy and IBM to bring together
federal government, industry, and academic leaders who are volunteering free
compute time and resources on their world-class machines.
Consortium partners include:
- Industry
- IBM
- Amazon
Web Services
- AMD
- Google
Cloud
- Hewlett
Packard Enterprise
- Microsoft
- NVIDIA
- Academia
- Massachusetts
Institute of Technology
- Rensselaer
Polytechnic Institute
- University
of Illinois
- University
of Texas at Austin
- University
of California - San Diego
- Carnegie
Mellon University
- University
of Pittsburgh
- Indiana
University
- University
of Wisconsin-Madison
- Department
of Energy National Laboratories
- Argonne
National Laboratory
- Lawrence
Livermore National Laboratory
- Los
Alamos National Laboratory
- Oak
Ridge National Laboratory
- National
Energy Research Scientific Computing Center
- Sandia
National Laboratories
- Federal
Agencies
- National
Science Foundation
- XSEDE
- Pittsburgh
Supercomputing Center (PSC)
- Texas
Advanced Computing Center (TACC)
- San
Diego Supercomputer Center (SDSC)
- National
Center for Supercomputing Applications (NCSA)
- Indiana
University Pervasive Technology Institute (IUPTI)
- Open
Science Grid (OSG)
- National
Center for Atmospheric Research (NCAR)
- NASA
Researchers are invited to submit COVID-19 related research
proposals to the consortium via this online portal,
which will then be reviewed for matching with computing resources from one of
the partner institutions. An expert panel comprised of top scientists and
computing researchers will work with proposers to assess the public health
benefit of the work, with emphasis on projects that can ensure rapid results.
Fighting COVID-19 will require extensive research in areas
like bioinformatics, epidemiology, and molecular modeling to understand the
threat we’re facing and form strategies to address it. This work demands a
massive amount of computational capacity. The COVID-19 High Performance Computing
Consortium helps aggregate computing capabilities from the world's most
powerful and advanced computers to help COVID-19 researchers execute complex
computational research programs to help fight the virus.
About the Consortium, the HPC Systems & How to Join
Consortium members manage a range of computing capabilities
that span from small clusters to some of the largest supercomputers in the
world. As a member, you would support this crucial work by not only offering
your computational resources, but also your deep technical capabilities and
expertise to help COVID-19 researchers execute complex computational research
programs. We hope that you will join us in this crucial mission.
We are currently providing broad access to portions of over
30 supercomputing systems, representing over over 402 petaflops, 105,334 nodes,
3,539,044 CPU cores, 41,286 GPUs, and counting. Their basic specifications are
described below. Additional resources will be added as our consortium grows;
please check back for updates.
