Abstract
This paper presents the Parallel Coupler for Multimodel Simulations (PCMS), a new GPU accelerated generalized coupling framework for coupling simulation codes on leadership class supercomputers. PCMS includes distributed control and field mapping methods for up to five dimensions. For field mapping PCMS can utilize discretization and field information to accommodate physics constraints. PCMS is demonstrated with a coupling of the gyrokinetic microturbulence code XGC with a Monte Carlo neutral transport code DEGAS2 and with a 5D distribution function coupling of an energetic particle transport code (GNET) to a gyrokinetic microturbulence code (GTC). A scaling study is also presented to stress the rendezvous and PCMS APIs. It demonstrates an efficiency of 85% on up to 2,080 GPUs of Frontier; 16-2048 processes for the application being scaled and a fixed 16 processes each for the coupler and the second application.
Jacob Merson
Assistant Professor of Mechanical Engineering
loves to scale multiphysics simulations onto leadership class supercomputers
Fuad Hasan
Mechanical Engineering Ph.D. Student
Works on accelerated Monte Carlo particle transport simulations for plasma and fusion reactor applications.
Abhiyan Paudel
PhD student (Aerospace Engineering)
enthusiastic about developing numerical algorithms optimized for GPUs