Portable, Massively Parallel Implementation of a Material Point Method for Compressible Flows
<|reference_start|>Portable, Massively Parallel Implementation of a Material Point Method for Compressible Flows: The recent evolution of software and hardware technologies is leading to a renewed computational interest in Particle-In-Cell (PIC) methods such as the Material Point Method (MPM). Indeed, provided some critical aspects are properly handled, PIC methods can be cast in formulations suitable to the requirements of data locality and fine-grained parallelism of modern hardware accelerators as Graphics Processing Units (GPUs). Such a rapid and continuous technological development increases also the importance of generic and portable implementations. While continuum mechanics simulations have already shown the capabilities of MPM on a wide range of phenomena, the use of the method in compressible fluid dynamics is less frequent. In this paper we present a portable, highly parallel, GPU based MPM solver for compressible gas dynamics. The implementation aims to reach a good compromise between portability and efficiency and to give a first assessment of the potential of this approach in reproducing strongly compressible gas flows, also taking into account solid obstacles. The proposed model constitutes a first step towards the development of a monolithic MPM solver for Fluid-Structure Interaction (FSI) problems at all Mach numbers up to the supersonic regime.<|reference_end|>
@article{baioni2024portable,,
    title={Portable, Massively Parallel Implementation of a Material Point Method
  for Compressible Flows},
    author={Paolo Joseph Baioni, Tommaso Benacchio, Luigi Capone, Carlo de Falco},
    journal={arXiv preprint arXiv:2404.17057},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.17057},
    primaryClass={physics.comp-ph cs.DC cs.NA math.NA}
}