john mansour

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 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

A new paper by John Mansour and others has just been published in the Journal of Open Source Software. Mansour, J., Giordani, J., Moresi, L., Beucher, R., Kaluza, O.,  Velic,  M., Farrington, R., Quenette, S., Beall, A., 2020, Underworld2:  Python  Geodynamics Modelling for Desktop, HPC and Cloud, Journal of Open

Version 2.8 of Underworld has been released recently. As with all major releases, this release brings numerous new features, enhancements and bug fixes. A summary of changes may be found within the usual CHANGES.md file. As is also usually the case, numerous API changes have been necessary or

Underworld2 is a python-friendly version of the Underworld geodynamics code which provides a programmable and flexible front end to all the functionality of the code running in a parallel HPC environment. This gives signficant advantages to the user, with access to the power of python libraries for setup of complex

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)