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Memory access optimization for particle operations in computational fluid dynamics-discrete element method simulations

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Particuology 2023年第7期78卷 97-110页

作者： Deepthi Vaidhynathan Hariswaran Sitaraman ray grout Thomas Hauser Christine M.Hrenya Jordan Musser Computational Science Center National Renewable Energy LaboratoryUnited States Research Computing University of ColoradoBoulderUnited States Chemical and Biological Engineering University of ColoradoBoulderUnited States Computational Science and Engineering National Energy Technology LaboratoryUnited States

Computational Fluid Dynamics-Discrete Element Method is used to model gas-solid systems in several applications in energy,pharmaceutical and petrochemical *** performance bot-tlenecks often limit the problem sizes that can be simulated at industrial *** data structures used to store several millions of particles in such large-scale simulations have a large memory footprint that does not fit into the processor cache hierarchies on current high-performance-computing platforms,leading to reduced computational *** paper specifically addresses this aspect of memory access bottlenecks in industrial scale *** use of space-flling curves to improve memory access patterns is described and their impact on computational performance is quantified in both shared and distributed memory parallelization *** Morton space flling curve applied to uniform grids and k-dimensional tree partitions are used to reorder the particle data-structure thus improving spatial and temporal locality in *** performance impact of these techniques when applied to two benchmark problems,namely the homogeneous-cooling-system and a fluidized-bed,are *** optimization techniques lead to approximately two-fold performance improvement in particle focused operations such as neighbor-list creation and data-exchange,with~1.5 times overall improvement in a fluidization simulation with 1.27 million particles.

关键词： CFD-DEM Memory access optimization Spatial reordering Performance optimization

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