Energy awards $ 28 million to 5 supercomputing projects


Written by Dave Nyczepir

The Department of Energy will grant $ 28 million to five research projects developing software for its supercomputers, the Scientific Discovery Through Advanced Computing (SciDAC) program announced on Friday.

The projects selected by the DOE will develop computational methods, algorithms and software to benefit research in quantum information science and chemical reactions with clean energy applications.

SciDAC brings together groups of interdisciplinary experts to use DOE’s high-performance computing resources, and the five teams will partner with one or both of its institutes, FASTMath and RAPIDS2, from the Lawrence Berkeley and Argonne National Laboratories.

“The DOE National Laboratories are home to some of the fastest supercomputers in the world, and with more advanced software, we can fully harness the power of these supercomputers to make groundbreaking discoveries and solve the world’s most difficult problems,” said Energy Secretary Jennifer Granholm in an ad. “These investments will help maintain US leadership in science, accelerate basic energy research and provide solutions to the country’s clean energy priorities.

The five winners are:

  • California Institute of Technology for its project of crossing the “valley of death” separating short and long times in non-equilibrium quantum dynamic simulations of real materials;
  • Florida State University for his project on relativistic quantum dynamics in a non-equilibrium regime;
  • Lawrence Berkeley National Lab for his project on large-scale algorithms and software for modeling chemical reactivity in complex systems;
  • The University of California-Santa Barbara for its project on the real-time dynamics of correlated electrons entrained in quantum materials; and
  • The University of California-Riverside for its DECODE project (Data-driven Exascale Control of Optically Driven Excitations) dealing with chemical and material systems.

The projects were chosen through a competitive peer review process as part of a DOE funding opportunity announcement open to universities, national laboratories and other research organizations. The DOE has yet to negotiate the final details of the project for the winners, but $ 7 million of the total funding has been allocated for fiscal 2021, subject to congressional appropriations.

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