The presence of graphics processors (GPUs) in supercomputers constantly increased in the past decade. Finite-difference time-domain (FDTD) and discontinuous Galerkin time-domain (DGTD) are traditionally used on GPUs for their scalability; however, the limitations of past hardware required particular care in the implementation to obtain good performance. In this work, we discuss an implementation of DGTD for Maxwell's equations on modern GPUs, and we assess its performance on the simulation of an electrostatic discharge.
Electrostatic discharge simulation using a {GPU}-accelerated {DGTD} solver targeting modern graphics processors / Cicuttin, Matteo; Royer, Anthony; Binde, Peter; Geuzaine, Christophe. - In: IEEE TRANSACTIONS ON MAGNETICS. - ISSN 0018-9464. - ELETTRONICO. - 58:9(2022), pp. 1-4. [10.1109/tmag.2022.3179309]
Electrostatic discharge simulation using a {GPU}-accelerated {DGTD} solver targeting modern graphics processors
Matteo Cicuttin;
2022
Abstract
The presence of graphics processors (GPUs) in supercomputers constantly increased in the past decade. Finite-difference time-domain (FDTD) and discontinuous Galerkin time-domain (DGTD) are traditionally used on GPUs for their scalability; however, the limitations of past hardware required particular care in the implementation to obtain good performance. In this work, we discuss an implementation of DGTD for Maxwell's equations on modern GPUs, and we assess its performance on the simulation of an electrostatic discharge.File | Dimensione | Formato | |
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Electrostatic Discharge Simulation Using a GPU-Accelerated DGTD Solver Targeting Modern Graphics Processors.pdf
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https://hdl.handle.net/11583/2978985