This event is a part of the "Best Practices for HPC Software Developers" webinar series, produced by the IDEAS Productivity Project. The HPC Best Practices webinars address issues faced by developers of computational science and engineering (CSE) software on high-performance computers (HPC) and occur approximately monthly.
Resource Information | Details |
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Webinar Title | Growing preCICE from an as-is Coupling Library to a Sustainable, Batteries-included Ecosystem |
Date and Time | 2022-07-06 01:00 pm EDT |
Presenter | Gerasimos Chourdakis (Technical University of Munich) |
Registration, Information, and Archives | https://ideas-productivity.org/resources/series/hpc-best-practices-webinars/#webinar065 |
Webinars are free and open to the public, but advance registration is required through the Event website. Archives (recording, slides, Q&A) will be posted at the same link soon after the event.
Abstract
Starting humbly as a coupling library for fluid-structure interaction problems used by just a few academic groups in Germany, preCICE has grown to a complete coupling ecosystem used by more than 100 research groups worldwide, and for a wide range of multi-physics applications. How did that happen? Apart from the library itself, preCICE now maintains ready-to-use adapters for several open-source solvers, tutorial cases, documentation, and more. Users can thus easily couple popular open-source solvers (such as OpenFOAM, SU2, deal.II, or FEniCS) with their in-house simulation software (written in C++, C, Fortran, Python, Matlab, or Julia). In parallel to this, the developers of preCICE had to learn how to write more effective documentation (avoiding fragmentation and getting the user in the loop), how to manage the rapidly growing community (switching from a mailing list to a chatroom and then to a dedicated Discourse forum), and how to organize workshops and training courses. This webinar will focus on lessons learned that can help any research software project grow in a sustainable way.
Presenter Bio
Gerasimos Chourdakis is a doctoral candidate at the Technical University of Munich, working on transforming the preCICE project from an “as-is” coupling library into a “batteries included” multiphysics ecosystem. With this perspective, he takes the leading role in organizing the development and operations of the “flesh” of the preCICE ecosystem, including adapters for various solvers, tutorial cases, documentation, website, and testing, shaping these components for the preCICE community to grow upon. He is also researching methods for geometric multiscale coupling and enjoys teaching topics related to research software engineering.