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 4,400 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.Comment: 6 pages, 6 figures, 2 table
34 pagesWithin computational chemistry inherent barriers exist when attempting to model real systems...
Owing to the computational complexity of electronic structure algorithms running on classical digita...
ABSTRACT: Structural properties of over 55 small proteins have been determined using both density-ba...
We push the boundaries of electronic structure-based \textit{ab-initio} molecular dynamics (AIMD) be...
We push the boundaries of electronic structure-based ab-initio molecular dynamics (AIMD) beyond 100 ...
International audienceWe present a way to improve the performance of the electronic structure Vienna...
Abstract: Many systems of great importance in material science, chemistry, solid-state physics, and ...
Abstract: Molecular mechanics simulations offer a computational approach to study the behavior of bi...
A molecular dynamics (MD) simulation program for biological macromolecules was implemented with a no...
We present the GPU version of DeePMD-kit, which, upon training a deep neural network model using ab ...
Development of new materials needs better understanding of the behavior of materials at nanoscale wh...
Atomistic Molecular Dynamics (MD) simulations provide researchers the ability to model biomolecular ...
International audienceWe present a way to improve the performance of the electronic structure Vienna...
The advent of general purpose graphics processing units (GPGPU\u27s) brings about a whole new platfo...
A program for electronic structure computations, which scales linearly (O(N)) with the nu...
34 pagesWithin computational chemistry inherent barriers exist when attempting to model real systems...
Owing to the computational complexity of electronic structure algorithms running on classical digita...
ABSTRACT: Structural properties of over 55 small proteins have been determined using both density-ba...
We push the boundaries of electronic structure-based \textit{ab-initio} molecular dynamics (AIMD) be...
We push the boundaries of electronic structure-based ab-initio molecular dynamics (AIMD) beyond 100 ...
International audienceWe present a way to improve the performance of the electronic structure Vienna...
Abstract: Many systems of great importance in material science, chemistry, solid-state physics, and ...
Abstract: Molecular mechanics simulations offer a computational approach to study the behavior of bi...
A molecular dynamics (MD) simulation program for biological macromolecules was implemented with a no...
We present the GPU version of DeePMD-kit, which, upon training a deep neural network model using ab ...
Development of new materials needs better understanding of the behavior of materials at nanoscale wh...
Atomistic Molecular Dynamics (MD) simulations provide researchers the ability to model biomolecular ...
International audienceWe present a way to improve the performance of the electronic structure Vienna...
The advent of general purpose graphics processing units (GPGPU\u27s) brings about a whole new platfo...
A program for electronic structure computations, which scales linearly (O(N)) with the nu...
34 pagesWithin computational chemistry inherent barriers exist when attempting to model real systems...
Owing to the computational complexity of electronic structure algorithms running on classical digita...
ABSTRACT: Structural properties of over 55 small proteins have been determined using both density-ba...