NERSC-led Team Vies for ACM Gordon Bell Prize at SC18
November 7, 2018
A NERSC-led team is among the finalists for this year’s Gordon Bell Prize to be awarded at SC18 next week. The Association for Computing Machinery (ACM) sponsored-prize is awarded each year to recognize outstanding achievements in high-performance computing. The team, led by data scientist Prabhat, trained a deep neural network to identify extreme weather patterns from high-resolution climate simulations, breaking the exaop barrier in the process.
On Sunday, November 11 at SC18, many of the team members will lead an all-day workshop on deep learning at scale. They will present the research that landed them among the finalists at 4 p.m., Wednesday, November 14.
One member of the team, Thorsten Kurth, is also part of a second Berkeley Lab-led group that advanced to the prize finals. The Nuclear Science Division-led project was nominated for improvements to a physics application.
The ACM Gordon Bell Prize winner will be announced at the SC18 awards ceremony on Thursday, November 15.
About NERSC and Berkeley Lab
The National Energy Research Scientific Computing Center (NERSC) is a U.S. Department of Energy Office of Science User Facility that serves as the primary high-performance computing center for scientific research sponsored by the Office of Science. Located at Lawrence Berkeley National Laboratory, the NERSC Center serves more than 7,000 scientists at national laboratories and universities researching a wide range of problems in combustion, climate modeling, fusion energy, materials science, physics, chemistry, computational biology, and other disciplines. Berkeley Lab is a DOE national laboratory located in Berkeley, California. It conducts unclassified scientific research and is managed by the University of California for the U.S. DOE Office of Science. »Learn more about computing sciences at Berkeley Lab.