Fast, scalable and accurate finite-element based ab initio calculations using mixed precision computing: 46 PFLOPS simulation of a metallic dislocation system

Das, Sambit; Motamarri, Phani; Gavini, Vikram; Turcksin, Bruno; Li, Ying Wai; Leback, Brent

doi:10.1145/3295500.3357157

Fast, scalable and accurate finite-element based ab initio calculations using mixed precision computing: 46 PFLOPS simulation of a metallic dislocation system

Conference · 27 September 2021

DOI:https://doi.org/10.1145/3295500.3357157· OSTI ID:1822698

Das, Sambit ^[1]; Motamarri, Phani ^[1]; Gavini, Vikram ^[1]; Turcksin, Bruno ^[2]; ^[3]; Leback, Brent ^[4]

University of Michigan, Ann Arbor
Oak Ridge National Laboratory
Los Alamos National Laboratory
NVIDIA

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Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE

DOE Contract Number:: 89233218CNA000001

OSTI ID:: 1822698

Report Number(s):: LA-UR-19-28730

Resource Relation:: Conference: International Conference for High Performance Computing, Networking, Storage and Analysis (SC19), Gordon Bell submission ; 2019-11-17 - 2019-11-22 ;

Country of Publication:: United States

Language:: English

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