Efficient parallelization for 3D-3V sparse grid Particle-In-Cell: Single GPU architectures *

In the present paper, an efficient General Purpose Graphical Processing Unit (GPGPU)-based implementation of sparse grid Particle-In-Cell (PIC) methods is proposed. The parallelization, implementing novel strategies specific to sparse-PIC methods and tailored to GPU architectures, provides speed-ups1 as large as 100 on a single Tesla V100 GPU, with respect to sequential Computing Processing unit (CPU) execution; and a four order of magnitude reduction of the computational time in comparison with a standard PIC sequential CPU simulation. In addition, the simple implementation of the parallelization with the OpenACC framework offers portability to a large class of accelerators.(c) 2023 Elsevier B.V. All rights reserved.