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DOE Announces 2020 INCITE Allocation Awards

Berkeley Lab Researchers to Lead/Co-Lead Six Projects

December 3, 2019

Through the U.S. Department of Energy’s Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program, the Office of Science has awarded supercomputer allocations to 47 science projects for 2020. Six groups involving researchers from Lawrence Berkeley National Laboratory (Berkeley Lab) received a total of 2.8 million hours of compute time on supercomputers at Argonne National Laboratory and Oak Ridge National Laboratory.

INCITE is jointly managed by the DOE’s Leadership Computing Facilities at Argonne and Oak Ridge. Open to any researcher or research organization in the world with a computationally intensive project that’s pursuing transformational advances in science and engineering, INCITE’s application process is highly competitive. For the 2020 allocation period, the total number of node hours requested by applicants was more than three times what the program plans to award.

The INCITE program launched in 2004 with just three inaugural projects totaling nearly 5 million core hours. The fastest supercomputer available for INCITE at that time was the National Energy Research Scientific Computing Center’s IBM system, “Seaborg,” which offered 10 teraflops of computational power. Today, with the rapid advancement of computer technology, both the Argonne and Oak Ridge Leadership Computing Facilities have exponentially increased their computing capabilities. Argonne’s current machine is Theta, an 11.69-petaflop Cray XC40; Oak Ridge is home to the 200-petaflop supercomputer Summit, an IBM AC922 machine.

Here is a list of the 2020 INCITE award projects in which Berkeley Lab researchers are principal or co-investigators; the full list can be found here:

Approaching Exascale Models of Astrophysical Explosions

Principal Investigator: Michael Zingale, Stony Brook University

Co-Investigators: Ann Almgren, Lawrence Berkeley National Laboratory; Maria Barrios Sazo, Stony Brook University; John Bell, Lawrence Berkeley National Laboratory; Alan Calder, Stony Brook University; Doreen Fan, Lawrence Berkeley National Laboratory; Alice Harpole, Stony Brook University; Max Katz, NVIDIA; Andy Nonaka, Lawrence Berkeley National Laboratory; Donald Willcox, Lawrence Berkeley National Laboratory

Allocation: 300,000 Summit node hours at Oak Ridge National Laboratory

Decoding the Physics of the Intergalactic Medium

Principal Investigator: Zarija Lukic, Lawrence Berkeley National Laboratory

Co-Investigators: Ann Almgren, Lawrence Berkeley National Laboratory; Christopher Daley, Lawrence Berkeley National Laboratory; Frederick Davies, University of California,Santa Barbara; Dmitriy Morozov, Lawrence Berkeley National Laboratory; Andrew Myers, Lawrence Berkeley National Laboratory; Jose Onorbe, University of Madrid; Hannah Ross, Lawrence Berkeley National Laboratory; Jean Sexton, Lawrence Berkeley National Laboratory; Weiqun Zhang, Lawrence Berkeley National Laboratory; Joseph Hennawi, University of California, Santa Barbara

Allocation: 500,000 Summit node hours at Oak Ridge National Laboratory

Novel Methods for Complex Excited-State Phenomena in Functional Materials

Principal Investigator: Jack Deslippe, Lawrence Berkeley National Laboratory

Co-Investigators: Steven G. Louie, University of California, Berkeley and Lawrence Berkeley National Laboratory; Jeffrey B. Neaton, University of California, Berkeley and Lawrence Berkeley National Laboratory; James R. Chelikowsky, University of Texas, Austin; Diana Y. Qiu, Lawrence Berkeley National Laboratory and Yale University; Felipe H. da Jornada, Lawrence Berkeley National Laboratory; Sivan Refaely-Abramson, Weizmann Institute of Science

Allocation: 400,000 Summit node hours at Oak Ridge National Laboratory

PLASM-IN-SILICO: HPC Modeling of High-Intensity Laser-Solid Interaction

Principal Investigator: Jean-Luc Vay, Lawrence Berkeley National Laboratory

Co-Investigator: Henri Vincenti, Commissariat à l'Energie Atomique

Allocation: 600,000 Theta node hours at Argonne National Laboratory; 110,000 Summit node hours at Oak Ridge National Laboratory

PRECISE: Predictive Electronic Structure Modeling of Heavy Elements

Principal Investigator: Lucas Visscher, Vrije Universiteit Amsterdam

Co-Investigators: Anastasia Borschevsky, University of Groningen; Wibe Albert de Jong, Lawrence Berkeley National Laboratory; André Severo Pereira Gomes, CNRS and University of Lille; Miroslav Iliaš, Matej Bel University; Hans Jørgen Aagaard Jensen, University of Southern Denmark; Dmitry Liakh, Oak Ridge National Laboratory; Valeria Pershina, GSI Helmholtzzentrum für Schwerionenforschung; Michal Repisky, University of Tromsø; Trond Saue, Université Paul Sabatier Toulouse III; Valérie Vallet, CNRS and University of Lille

Allocation: 400,000 Summit node hours at Oak Ridge National Laboratory

The Structure and Interactions of Nucleons from the Standard Model

Principal Investigator: André Walker-Loud, Lawrence Berkeley National Laboratory

Co-Investigators: Colin Morningstar, Carnegie Mellon University; Amy Nicholson, University of North Carolina at Chapel Hill; John Bulava, Souther Denmark University; Kate Clark, NVIDIA; Evan Berkowitz, Forschungszentrum Julich; Chris Bouchard, University of Glasgow; Chia Cheng Chang, RIKEN and University of California, Berkeley; Arjun Gambhir, Lawrence Livermore National Laboratory; Ben Hoerz, Lawrence Berkeley National Laboratory; Dean Howarth, Boston University; Chris Koerber, University of California, Berkeley; Ken McElvain, University of California, Berkeley; Henry Monge-Camacho, University of North Carolina at Chapel Hill; Enrico Rinaldi, RIKEN; Andrew Hanlon, Mainz University

Allocation: 500,000 Summit node hours at Oak Ridge National Laboratory

 Read the original Oak Ridge National Laboratory press release here.

About Computing Sciences at Berkeley Lab

High performance computing plays a critical role in scientific discovery. Researchers increasingly rely on advances in computer science, mathematics, computational science, data science, and large-scale computing and networking to increase our understanding of ourselves, our planet, and our universe. Berkeley Lab’s Computing Sciences Area researches, develops, and deploys new foundations, tools, and technologies to meet these needs and to advance research across a broad range of scientific disciplines.