Julian Giordani

How does Underworld scale on a HPC? In this post we showcase how Underworld 2.11 scales across two of Australia's premiere HPC systems. Gadi - https://nci.org.au/our-systems/hpc-systemsMagnus - https://pawsey.org.au/systems/magnus/The reference model chosen for this scaling showcase is a extended

To test scalability we run weak scaling tests on various HPC machines to check the numerical framework remains robust when pushing for higher fidelity models.

Underworld 2.10 has dropped... kidding this is a benchmark model proposed by Schmalholz, 2011, A simple analytical solution for slab detachment.

The Underworld team would like to congratulate Bénédicte Cenki-Tok and co-authors at the University of Sydney and the University of Montpellier on their recent publication, B. Cenki-Tok, P.F. Rey, D. Arcay; Strain and retrogression partitioning explain long-term stability of crustal roots in stable continents. Geology doi: https://doi.org/

The Underworld 2.9 release is available from Github, as a docker container and via zenodo (doi:10.5281/zenodo.3964957) it is also available through pip install for the first time

By the way, before you read this post, catch up with how we use docker by reading part 1 Docker allows us to distribute pre-built applications which are hosted in a virtual machine and are therefore platform independent. This simplifies things for us (only one platform we need to support)

While huge improvements in usability have been achieved in Underworld2, the installation process is still unfortunately as painful as ever. This difficulty is in large part due to Underworld's numerous dependencies, and also the multiple platforms we try to support. Compounding this, the legacy of a individual user's machine often