SC²S Colloquium - Sep 26, 2018
|Date:||Sep 26, 2018|
|Time:||15:00 - 15:30|
Noah Lee: Node-level performance optimization of the ADER-DG method for the simulation of tsunamis
This is a Master's Thesis submission talk advised by Leonhard Rannabauer
sam(oa)^2 is a framework for dynamically adaptive mesh refinement. In this thesis, sam(oa)^2 will be used for the simulation of the shallow water equations using the ADER Discontinuous-Galerkin method (ADER-DG). The focus will be on understanding and evaluating the ADER-DG model and improving node level performance as well as a performance study of scaling across multiple compute nodes.
Keywords: sam(oa)^2, Node-level