Moments Preserving and high-resolution Semi-Lagrangian Advection Scheme
Juli\'an Becerra-Sagredo, Carlos M\'alaga, Francisco Mandujano

TL;DR
This paper introduces a high-order, moments-preserving semi-Lagrangian advection scheme capable of accurately handling smooth and discontinuous fields, with efficient parallel implementation for multi-dimensional simulations.
Contribution
The paper presents a novel semi-Lagrangian method combining non-linear mapping and adaptive interpolation for high-accuracy advection of complex fields.
Findings
High-order accuracy in advecting smooth and discontinuous fields
Effective parallelization on many-core architectures
Validated through multi-dimensional advection tests
Abstract
We present a forward semi-Lagrangian numerical method for systems of transport equations able to advect smooth and discontinuous fields with high-order accuracy. The numerical scheme is composed of an integration of the transport equations along the trajectory of material elements in a moving grid and a reconstruction of the fields in a reference regular mesh using a non-linear mapping and adaptive moment-preserving interpolations. The non-linear mapping allows for the arbitrary deformation of material elements. Additionally, interpolations can represent discontinuous fields using adaptive-order interpolation near jumps detected with a slope-limiter function. Due to the large number of operations during the interpolations, a serial implementation of this scheme is computationally expensive. The scheme has been accelerated in many-core parallel architectures using a thread per grid node…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
