GPUs Based Material Point Method for Compressible Flows

                                
==Abstract==

Particle-In-Cell (PIC) methods such as the Material Point Method (MPM)
can be cast in formulations suitable to the requirements of data locality and fine-grained
parallelism of modern hardware accelerators such as Graphics Processing Units (GPUs).
While continuum mechanics simulations have already shown the capabilities of MPM on
a wide range of phenomena, the use of the method in compressible gas dynamics is less
frequent. This contribution aims to show the potential of a GPU-based MPM parallel
implementation for compressible fluid dynamics, as well as to assess the reliability of this
approach in reproducing supersonic gas flows against solid obstacles. The results in the
paper represent a stepping stone towards a highly parallel, Multi-GPU, MPM-base solver
for M ach &gt; 1 Fluid-Structure Interaction problems.

== Full Paper ==
<pdf>Media:Draft_Sanchez Pinedo_244241234pap_163.pdf</pdf>