GPU4GEO is a PASC funded scientific software development project aiming at building "Frontier GPU multi-physics solvers" with application to natural sciences - ice flow dynamics and geodynamics in particular.

Computational Earth sciences rely on modelling to understand and predict the evolution of complex physical systems. Ice sheet dynamics and geodynamics modelling are, despite their apparent differences, two domains that build upon similar physical models and ensuing computational challenges: Extremely large simulations which are not possible with the state of the art in high-performance computing (HPC), thus requiring next-generation supercomputers. Those large-scale simulations are crucial when assessing ice flow dynamics over Greenland and Antarctica, understanding the dynamic motion of Earth’s interior or performing three-dimensional simulations.

The goal of the GPU4GEO project is to propose software tools which provide a way forward in these two domains by exploiting two powerful emerging paradigms in HPC: massively parallel iterative solvers, and HPC with Julia on graphical processing units (GPUs).

Solvers based on pseudo-transient relaxation show great promise for solving a wide range of mechanical multi-physics problems in geoscience, at scale and on GPU-accelerated supercomputers. We use Julia as the main language because it features high-level and high-performance capabilities and performance portability amongst backends (e.g. multi-core CPUs and AMD, NVIDIA GPUs).


The project, funded by the Swiss National Supercomputing Centre - CSCS part of ETH Zurich, is an international collaboration between: