Research
The overarching aim of our research group is the development of methods, algorithms, and software for scientific computing and uncertainty quantification.
Scientific computing on GPU-accelerated architectures has become an important direction in
our research group. We pursue this research in close collaboration with international research
teams developing algorithms and open-source software libraries for such systems, in particular, the Kokkos
and Trilinos libraries.
Open-source software repositories
We develop our software in open-source repositories:
| uliegecsm/kokkos-execution | Customization of std::execution for Kokkos |
|---|---|
| uliegecsm/reprospect | A framework for reproducible prospecting of CUDA applications. |
| uliegecsm/graph-dispatching | This repository is a playground for graph-based dispatching of asynchronous workloads using Kokkos and the P2300 formalism. |
| uliegecsm/kokkos-utils | This repository contains utilities related to Kokkos. |
Tools and utilities
We also develop a collection of smaller tools that support everyday work with CI, containers and GPU toolchains:
| uliegecsm/amd-comgr-helpers | Collection of helper scripts related to AMD Code Object Manager. |
|---|---|
| uliegecsm/hwloc-xml-parser | Python tool to parse xml output of hwloc. |
| uliegecsm/system-helpers | This repository contains useful standalone helper scripts for Linux systems. |