The International Journal of High Performance Computing Applications · 2012 · 23 citations · 40 references
Natural SciencesHigh-performance ComputingPhysicsComputational Materials ScienceComputational PhysicsCondensed Matter PhysicsAtomistic SimulationCondensed Matter SimulationsDevice SimulationMolecular DynamicsMolecular SimulationSurface PhysicsBond-order PotentialsCrystalline SiliconGrain BoundariesMolecular Simulation AlgorithmsPrecisionScalable Surface ReconstructionSiliconSilicon Device Simulation
An efficient and highly scalable bond-order potential code has been developed for the molecular dynamics simulation of bulk silicon, reaching 1.87 Pflops (floating point operations per second) in single precision on 7168 graphic processing units (GPUs) of the Tianhe-1A system. Furthermore, by coupling GPUs and central processing units, we also simulated surface reconstruction of crystalline silicon at the sub-millimeter scale with more than 110 billion atoms, reaching 1.17 Pflops in single precision plus 92.1 Tflops in double precision on the entire Tianhe-1A system. Such simulations can provide unprecedented insight into a variety of microscopic behaviors or structures, such as doping, defects, grain boundaries, and surface reactions.
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