Publication | Closed Access
GPU-Enabled Macromolecular Simulation: Challenges and Opportunities
15
Citations
15
References
2012
Year
EngineeringGpu-enabled Macromolecular SimulationComputational ChemistryMolecular DynamicsMolecular DesignMolecular GraphicMolecular ComputingGpu ComputingRealistic Mathematical ModelsMolecular SimulationComputational BiochemistryBiophysicsPhysicsMolecular MechanicGpu ArchitectureNatural SciencesMassive ParallelismMolecular BiophysicsGpu-enabled SimulationComputational Biophysics
GPU-enabled simulation of fully atomistic macromolecular systems is rapidly gaining momentum, enabled by massive parallelism and the parallelizability of various components of the underlying algorithms and methodologies. Here, we consider key aspects required for obtaining realistic macromolecular systems specifically adapted to GPUs; these aspects include realistic mathematical models and valid simulations.
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