Publication | Open Access
Breaking the exascale barrier for the electronic structure problem in <i>ab-initio</i> molecular dynamics
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Citations
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References
2023
Year
EngineeringNvidia A100 GpusSustained FractionExascale BarrierComputational ChemistryElectronic StructureMolecular DynamicsGpu ComputingMolecular ComputingQuantum MaterialsMolecular SimulationComputational BiochemistryBiophysicsPhysicsQuantum ChemistryComputational ModelingPeak PerformanceAb-initio MethodNatural SciencesCondensed Matter PhysicsApplied PhysicsElectronic Structure ProblemComputational BiophysicsMany-body Problem
The non-orthogonal local submatrix method applied to electronic structure–based molecular dynamics simulations is shown to exceed 1.1 EFLOP/s in FP16/FP32-mixed floating-point arithmetic when using 4400 NVIDIA A100 GPUs of the Perlmutter system. This is enabled by a modification of the original method that pushes the sustained fraction of the peak performance to about 80%. Example calculations are performed for SARS-CoV-2 spike proteins with up to 83 million atoms.
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