Publication | Open Access
New parallel computing algorithm of molecular dynamics for extremely huge scale biological systems
78
Citations
25
References
2020
Year
EngineeringMolecular BiologyComputer ArchitectureParallel ImplementationComputational ChemistryBiological ComputingMolecular DynamicsMolecular ComputingParallel ComputingMd SimulationsBiophysicsCellular-scale Molecular DynamicsMassively-parallel ComputingMolecular MechanicGenesis SoftwareParallel ProcessingComputational BiologyParallel ProgrammingSystems BiologyBiological ComputationComputational Biophysics
In this paper, we address high performance extreme-scale molecular dynamics (MD) algorithm in the GENESIS software to perform cellular-scale molecular dynamics (MD) simulations with more than 100,000 CPU cores. It includes (1) the new algorithm of real-space nonbonded interactions maximizing the performance on ARM CPU architecture, (2) reciprocal-space nonbonded interactions minimizing communicational cost, (3) accurate temperature/pressure evaluations that allows a large time step, and (4) effective parallel file inputs/outputs (I/O) for MD simulations of extremely huge systems. The largest system that contains 1.6 billion atoms was simulated using MD with a performance of 8.30 ns/day on Fugaku supercomputer. It extends the available size and time of MD simulations to answer unresolved questions of biomacromolecules in a living cell.
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