On November 15, 2018, at the International Conference for High Performance Computing, Networking, Storage and Analysis (SC18) Conference, teams led by Lawrence Berkeley National Laboratory (Berkeley Lab) and Oak Ridge National Laboratory (ORNL), respectively, shared the 2018 ACM Gordon Bell Prize.
Congratulations to JGI’s Chief Informatics Officer Kjiersten Fagnan, who was part of the ORNL-led, seven-member team recognized for their paper, “Attacking the Opioid Epidemic: Determining the Epistatic and Pleiotropic Genetic Architectures for Chronic Pain and Opioid Addiction.” The team also included ORNL’s Dan Jacobson, who is speaking at the 2019 JGI Genomics of Energy & Environment Meeting in San Francisco, Calif.
Aside from Fagnan and the ORNL contingent, the other members of the team are from the University of Missouri-St. Louis and Yale University/Department of Veterans Affairs. Their work is part of a joint initiative between the Department of Energy and the US Veterans Administration (VA), which aims to improve healthcare outcomes for Veterans by partnering the resources of the VA data with DOE capabilities in supercomputing.
The 12-member Berkeley Lab team was recognized for their paper, “Exascale Deep Learning for Climate Analytics.” Using high-performance computers, the Berkeley Lab team trained a deep neural network to identify extreme weather patterns from high-resolution climate simulations.
The ACM Gordon Bell Prize tracks the progress of parallel computing and rewards innovation in applying high performance computing (HPC) to challenges in science, engineering, and large-scale data analytics. Click here to learn more.