Members of the Gordon Bell team from Berkeley Lab, left to right: Prabhat, Thorsten Kurth, Mayur Mudigonda, Ankur Mahesh and Jack Deslippe. Image: Marilyn Chung, Berkeley Lab
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 the mission computing facility for the U.S. Department of Energy Office of Science, the nation’s single largest supporter of basic research in the physical sciences.
Located at Lawrence Berkeley National Laboratory (Berkeley Lab), NERSC serves 11,000 scientists at national laboratories and universities researching a wide range of problems in climate, fusion energy, materials sciences, physics, chemistry, computational biology, and other disciplines. An average of 2,000 peer-reviewed science results a year rely on NERSC resources and expertise, which has also supported the work of six Nobel prize-winning individuals and teams.
NERSC is a U.S. Department of Energy Office of Science User Facility.