0000000000955181

AUTHOR

Laura Morgenstern

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GROMEX: A Scalable and Versatile Fast Multipole Method for Biomolecular Simulation

2020

Atomistic simulations of large biomolecular systems with chemical variability such as constant pH dynamic protonation offer multiple challenges in high performance computing. One of them is the correct treatment of the involved electrostatics in an efficient and highly scalable way. Here we review and assess two of the main building blocks that will permit such simulations: (1) An electrostatics library based on the Fast Multipole Method (FMM) that treats local alternative charge distributions with minimal overhead, and (2) A $λ$-dynamics module working in tandem with the FMM that enables various types of chemical transitions during the simulation. Our $λ$-dynamics and FMM implementations d…

Computer scienceFast multipole method05 social sciencesFast Fourier transform050301 educationSupercomputerElectrostaticsbiomolekyylitComputational scienceMolecular dynamicsCUDAsähköstatiikkaParticle MeshScalabilityOverhead (computing)simulointi0501 psychology and cognitive sciencesSIMD0503 education050104 developmental & child psychology
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