The aim of this project is to evaluate and optimized the computational performance and parallel efficiency of G+Smo and IgANets on the AMD-based supercomputer LUMI.
24/12/2024 - 23/12/2025
Henk Dreuning
The aim of this project is to port all custom compute kernels of our IgANets software from CUDA to HIP/ROCm and perform a performance evaluation on AMD MI210 graphics cards.
Check out our summary of results.
13/10/2023 - present
Xavier Alvarez Farre
The aim of this project is to develop a collaborative and interactive design-through-analysis workflow atop the G+Smo isogeometric analysis library and our recently developed IgANets, a neural network approach towards isogeometric analysis.
Check out our online demonstrator.
16/02/2023 - 15/08/2025
Casper van Leeuwen, Paul Melis
Many engineering problems are modelled by time-dependent partial differential equations that are nowadays solved by sophisticated numerical simulation tools. While parallelization in space is common practice nowadays the efficient utilization of parallelism in time is not so standard. The aim of this project is to benchmark and if needed tune our Multigrid-in-Time Isogeometric Analysis code framework (G+Smo + XBraid) which has been tested successfully on Lisa for up to 2048 cores at large scale.
16/08/2022 - 15/08/2023
Benjamin Czaja