Portable, Massively Parallel Implementation of a Material Point Method for Compressible Flows
Keywords
High Performance Computing
Advanced Numerical Methods for Scientific Computing
SC4I/Digitization, Innovation, and Competitiveness of the Production System
Code:
79/2024
Title:
Portable, Massively Parallel Implementation of a Material Point Method for Compressible Flows
Date:
Monday 28th October 2024
Author(s):
Baioni, P.J.; Benacchio, T.; Capone, L.; de Falco, C.
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Abstract:
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, pro- vided some critical aspects are properly handled, PIC methods can be cast in formulations suitable for the requirements of data locality and fine-grained parallelism of modern hardware accelerators such as Graphics Processing Units (GPUs). Such a rapid and continuous technological development increases also the importance of generic and portable implementations. While the capabilities of MPM on a wide range continuum mechanics problem have been already well as- sessed, the use of the method in compressible fluid dynamics has re- ceived less attention. In this paper we present a portable, highly par- allel, GPU based MPM solver for compressible gas dynamics. The implementation aims to reach a good compromise between porta- bility and efficiency in order to provide a first assessment of the potential of this approach in solving strongly compressible gas flow problems, also taking into account solid obstacles. The numerical model considered 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.