Particles in Underworld3
Underworld is built around the idea of active Lagrangian tracer particles that carry history and composition information as the material deforms. How do we combine this information with our symbolic mathematical framework ?
Symbolic Time Derivatives in Underworld3
In Underworld3, the time derivative is a symbolic object. It appears in the solver's strong form as a SymPy expression, alongside the constitutive stress and the body force.
How many processors should we use to solve Problem X?
Parallel computation puts many CPUs to work on solving a problem much more quickly than one CPU alone. But this only works if the tasks are carefully scheduled and the additional CPUs are not waiting around for something to do. How do we choose the right number of processors for a given problem ?
Developing Underworld using Python Virtual Environments
The Underworld Community has been supporting usage of Docker containers for
developing and running Underworld powered scientific models. They provide a good
option to control the running environment (dependencies).
Docker container can be used for developing the code base but creating a
suitable development workflow has proven challenging so far
Underworld 2.11 Scaling
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-systems
* Magnus - https://pawsey.org.au/systems/magnus/
The reference model chosen for this scaling showcase
How to install Underworld on Mac OSX (Apple Silicon M1)
The new generation of Apple Mac comes with the new Apple Silicon (M1) chip which has an Arm architecture (as opposed to the older generation that had i386 Intel processor). This brings all manner of troubles and requirements for the development of codes.
Scaling in Underworld
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.
