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EMPIRE-PIC: a performance portable unstructured particle-in-cell code. (English) Zbl 1494.78004

Summary: In this paper we introduce EMPIRE-PIC, a finite element method particle-in-cell (FEM-PIC) application developed at Sandia National Laboratories. The code has been developed in C++ using the Trilinos library and the Kokkos Performance Portability Framework to enable running on multiple modern compute architectures while only requiring maintenance of a single codebase. EMPIRE-PIC is capable of solving both electrostatic and electromagnetic problems in two- and three-dimensions to second-order accuracy in space and time. In this paper we validate the code against three benchmark problems – a simple electron orbit, an electrostatic Langmuir wave, and a transverse electromagnetic wave propagating through a plasma. We demonstrate the performance of EMPIRE-PIC on four different architectures: Intel Haswell CPUs, Intel’s Xeon Phi Knights Landing, ARM Thunder-X2 CPUs, and NVIDIA Tesla V100 GPUs attached to IBM POWER9 processors. This analysis demonstrates scalability of the code up to more than two thousand GPUs, and greater than one hundred thousand CPUs.

MSC:

78-04 Software, source code, etc. for problems pertaining to optics and electromagnetic theory
78M10 Finite element, Galerkin and related methods applied to problems in optics and electromagnetic theory
78M20 Finite difference methods applied to problems in optics and electromagnetic theory
78M99 Basic methods for problems in optics and electromagnetic theory
78A25 Electromagnetic theory (general)
78A30 Electro- and magnetostatics
78A35 Motion of charged particles
78A60 Lasers, masers, optical bistability, nonlinear optics
65M60 Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs
65M06 Finite difference methods for initial value and initial-boundary value problems involving PDEs
65N30 Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs
65M75 Probabilistic methods, particle methods, etc. for initial value and initial-boundary value problems involving PDEs
65M25 Numerical aspects of the method of characteristics for initial value and initial-boundary value problems involving PDEs
65Y05 Parallel numerical computation
65Y10 Numerical algorithms for specific classes of architectures
76X05 Ionized gas flow in electromagnetic fields; plasmic flow
76M28 Particle methods and lattice-gas methods
35Q60 PDEs in connection with optics and electromagnetic theory
Full Text: DOI

References:

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