Advancing understanding of turbulence through extreme-scale computation: Intermittency and simulations at large problem sizes
P. K. Yeung, K. Ravikumar
Abstract
Advanced GPU-optimized algorithms coupled with a multiresolution short-time sampling paradigm can make extreme-scale turbulence simulations focused on small-scale physics much more accessible. One example is in the study of scaling exponents of the locally averaged energy dissipation rate at high Reynolds number.
Topics & Concepts
IntermittencyTurbulenceStatistical physicsScalingScale (ratio)DissipationComputationReynolds numberPhysicsComputer scienceMechanicsMathematicsAlgorithmGeometryThermodynamicsQuantum mechanicsFluid Dynamics and Turbulent FlowsPlant Water Relations and Carbon DynamicsMeteorological Phenomena and Simulations