Publications [#347666] of Amanda Randles

Papers Published

1. Vardhan, M; Gounley, J; Hegele, L; Draeger, EW; Randles, A, Moment representation in the lattice Boltzmann method on massively parallel hardware, International Conference for High Performance Computing Networking Storage and Analysis Sc (November, 2019), ISBN 9781450362290 [doi]
   (last updated on 2025/12/31)

   Abstract:
   The widely-used lattice Boltzmann method (LBM) for computational fluid dynamics is highly scalable, but also significantly memory bandwidth-bound on current architectures. This paper presents a new regularized LBM implementation that reduces the memory footprint by only storing macroscopic, moment-based data. We show that the amount of data that must be stored in memory during a simulation is reduced by up to 47%. We also present a technique for cache-aware data re-utilization and show that optimizing cache utilization to limit data motion results in a similar improvement in time to solution. These new algorithms are implemented in the hemodynamics solver HARVEY and demonstrated using both idealized and realistic biological geometries. We develop a performance model for the moment representation algorithm and evaluate the performance on Summit.