[Ag-ullrich] [Ins-mitarbeiter] Seminarvortrag Do 11.6. Andreas Mueller: Parallel performance of the atmospheric model NUMA using element-based Galerkin methods
Liebe Mitarbeiter des INS, im Rahmen unseres Forschungsseminars "Mathematics of Computation" wird Dr. Andreas Mueller (Naval Postgraduate School, Monterey, CA, USA) zum Thema "Parallel performance of the atmospheric model NUMA using element-based Galerkin methods" vortragen. Der Vortrag findet am Donnerstag, den 11.6. um 13 Uhr (s.t.) in 6.020 statt. Eine Kurzzusammenfassung des Vortrags gibt es unten in dieser Nachricht oder unter http://ullrich.ins.uni-bonn.de/seminar/ . Mit den besten Grüßen Tino Ullrich und Daniel Peterseim ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Title: Parallel performance of the atmospheric model NUMA using element-based Galerkin methods Abstract: Even with today's supercomputers it is still impossible to explicitly represent all scales involved in weather prediction. A large number of different numerical methods have been developed for improving the efficiency of numerical simulations. Among those methods are the element-based Galerkin methods which allow arbitrary high order for the spatial discretization and promise excellent scalability on large supercomputers. The author is one of the developers of the dynamical core NUMA which is used within the next-generation weather prediction model NEPTUNE of the US Navy. NUMA incorporates many recent developments like element-based Galerkin methods and adaptive mesh refinement. The presentation gives an introduction to the solution of the Euler equations of gas dynamics with continuous (spectral element) and discontinuous Galerkin methods. Recently, the author has shown strong scaling of NUMA on more than 2.7 million threads using the continuous Galerkin method. Two test cases are considered: 1) a baroclinic instability test case by Jablonowski and Williamson (2006) on the sphere using a cubed sphere mesh and 2) a 3D rising thermal bubble test case in a cube. Details of this scalability study are presented and the sensitivity of the results with respect to the polynomial order of the spatial discretization is discussed. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ _______________________________________________ Ins-mitarbeiter mailing list Ins-mitarbeiter@ins.uni-bonn.de https://mail.ins.uni-bonn.de/mailman/listinfo/ins-mitarbeiter
participants (1)
-
Dietmar Gallistl