D
Damien Lebrun-Grandie
Researcher at Oak Ridge National Laboratory
Publications - 20
Citations - 968
Damien Lebrun-Grandie is an academic researcher from Oak Ridge National Laboratory. The author has contributed to research in topics: Computer science & Software portability. The author has an hindex of 4, co-authored 15 publications receiving 664 citations. Previous affiliations of Damien Lebrun-Grandie include European Atomic Energy Community & Grenoble Institute of Technology.
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Journal ArticleDOI
MOOSE: A parallel computational framework for coupled systems of nonlinear equations
TL;DR: MOOSE as mentioned in this paper is a parallel computational framework targeted at solving coupled, nonlinear partial di?erential equations often arise in sim- ulation of nuclear processes, which is based on mathematics based on Jacobian-free Newton Krylov (JFNK).
Journal ArticleDOI
Kokkos 3: Programming Model Extensions for the Exascale Era
Christian Robert Trott,Damien Lebrun-Grandie,Daniel Arndt,Jan Ciesko,Vinh Dang,Nathan Ellingwood,Rahulkumar Gayatri,Evan Harvey,Daisy S. Hollman,Dan Ibanez,Nevin Liber,Jonathan Madsen,Jeff Miles,David Poliakoff,Amy Jo Powell,Sivasankaran Rajamanickam,Mikael Simberg,Dan Sunderland,Bruno Turcksin,Jeremiah J. Wilke +19 more
TL;DR: The novel abstractions that have been added to Kokkos version 3 such as hierarchical parallelism, containers, task graphs, and arbitrary-sized atomic operations to prepare for exascale era architectures are described.
Journal ArticleDOI
The Kokkos EcoSystem: Comprehensive Performance Portability for High Performance Computing
Christian Robert Trott,Luc Berger-Vergiat,David Poliakoff,Sivasankaran Rajamanickam,Damien Lebrun-Grandie,Jonathan Madsen,Nader Al Awar,Milos Gligoric,Galen M. Shipman,Geoff Womeldorff +9 more
TL;DR: The Kokkos EcoSystem as discussed by the authors is a portable software stack based on the Kokkos Core Programming Model, which provides math libraries, interoperability capabilities with Python and Fortran, and Tools for analyzing, debugging, and optimizing applications.
Journal ArticleDOI
Enabling particle applications for exascale computing platforms
Susan M. Mniszewski,James Belak,Jean-Luc Fattebert,Christian F. A. Negre,Stuart R. Slattery,Adetokunbo Adedoyin,Robert Bird,C. S. Chang,Guangye Chen,Stephane Ethier,Shane Fogerty,Salman Habib,Christoph Junghans,Damien Lebrun-Grandie,Jamaludin Mohd-Yusof,Stan Gerald Moore,Daniel Osei-Kuffuor,Steven J. Plimpton,Adrian Pope,Samuel Temple Reeve,Lee Ricketson,Aaron Scheinberg,A. Y. Sharma,Michael E. Wall +23 more
TL;DR: The Exascale Computing Project (ECP) is invested in co-design to assure that key applications are ready for exascale computing as discussed by the authors, and the Co-design Center for Particle Applications (CoPA) is established within ECP.
Journal ArticleDOI
Enabling particle applications for exascale computing platforms
Susan M. Mniszewski,James Belak,Jean-Luc Fattebert,Christian F. A. Negre,Stuart R. Slattery,Adetokunbo Adedoyin,Robert Bird,C. S. Chang,Guangye Chen,Stephane Ethier,Shane Fogerty,Salman Habib,Christoph Junghans,Damien Lebrun-Grandie,Jamaludin Mohd-Yusof,Stan Gerald Moore,Daniel Osei-Kuffuor,Steven J. Plimpton,Adrian Pope,Samuel Temple Reeve,Lee Ricketson,Aaron Scheinberg,A. Y. Sharma,Michael E. Wall +23 more
TL;DR: The Co-design Center for Particle Applications (CoPA) as discussed by the authors is addressing challenges faced by particle-based applications across four sub-motifs: short-range particle-particle interactions (e.g., those which often dominate molecular dynamics (MD) and smoothed particle hydrodynamics (SPH) methods), long-range PIC methods, and linear-scaling electronic structure and quantum molecular dynamics algorithms.