Samuel Omlin
Computational Scientist and responsible for Julia Computing at the Swiss National Supercomputing Centre (CSCS), ETH Zurich
Sessions
We present an iterative and massively scalable 3-D multi-GPU inversion workflow using Julia for coupled multi-physics processes in Earth Sciences. We introduce an adjoint framework for the two-phase flow equations, assess the unknown porosity field reconstruction in 3-D and discuss the performance evaluation.
We present a self-contained approach for the development of massively scalable multi-GPU solvers for coupled nonlinear systems of partial differential equations (PDEs) in Julia. The approach encompasses numerics, implementation and performance evaluation. We showcase several 2-D and 3-D Multi-GPU PDE solvers as, e.g., a solver for spontaneous nonlinear porous flow localization in 3-D which scales nearly ideally on thousands of GPUs.