Two cross-lab teams get funding for computing innovations

August 7, 2020, 10:28AMNuclear News

On August 4, the Department of Energy announced it will provide $57.5 million over five years to establish two multidisciplinary teams to take advantage of DOE supercomputing facilities at Argonne National Laboratory, Lawrence Berkeley National Laboratory, and Oak Ridge National Laboratory. The goal is to spur advances in the use of artificial intelligence and machine learning. Funds of $11.5 million have been made available for Fiscal Year 2020, with future funding contingent on congressional appropriations.

The two teams are to be composed of leading experts in computer science, software development, applied mathematics, and related disciplines. An Argonne-led team, “RAPIDS2: A SciDAC Institute for Computer Science, Data, and Artificial Intelligence,” will focus on community outreach to support scientists with application development. A Lawrence Berkeley–led team, “Frameworks, Algorithms, and Scalable Technologies for Mathematics (FASTMath) Institute,” will focus on the development of new mathematical techniques.

“The Department of Energy is home to some of the world’s fastest supercomputers, and as we move into the exascale computing era, these resources are continuing to rapidly advance in performance, architecture, and design,” said DOE Under Secretary for Science Paul Dabbar. “These Argonne and Lawrence Berkeley–led teams are comprised of experts in computing and applied mathematics and will ensure that the American scientific community can fully harness our country’s leading capabilities in high-performance computing.”

Both teams include researchers from multiple DOE laboratories, as well as universities and industry, and are part of a program known as SciDAC, or Scientific Discovery through Advanced Computing. As a joint effort among the six major program offices within the DOE’s Office of Science and Office of Nuclear Energy, SciDAC addresses problems in disciplines including high-energy and nuclear physics, condensed matter physics, materials science, chemistry, fusion energy sciences, Earth systems research, and nuclear energy.

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