Technologies Science IT
Hardware
State-of-the-art hardware is underlying the Science IT Computing services, including:
- Intel and AMD CPUs
- NVIDIA L4, A100, H100, H200 GPUs
- InfiniBand and HPE Cray Slingshot
Details are available in the Science IT Computing User Documentation.
Software
Science IT focuses on the usage of open-source software solutions, to cover for the general needs of research groups. This includes the software packages and tools listed in the following for which Science IT has expertise.
| IT Administration | Ansible, CFEngine, OpenStack |
|---|---|
| Cluster | Slurm, Spark |
| Databases | MariaDB/MySQL, PostgreSQL, MongoDB, SQLite |
| Storage | Ceph, CephFS, NFS, S3, Swift |
| Research Data Management | openBIS |
| Programming Languages | C, C++, Java, Javascript, Python, R, Rust, Scala, SQL, Typescript |
| Programming Models | CUDA, Open MPI |
| Frameworks / Libraries | Django, Flask, React |
| Python packages | Dask, Flask, IPython Parallel, matplotlib, NumPy, pandas, SciPy |
| R packages | shiny, stats, tidyverse |
| Interactive Computing Notebooks | Jupyter, RStudio |
| Computational Environments | Conda/Mamba, Apptainer/Singularity, Docker, Podman |
| Workflows | Snakemake |
| Machine Learning | pytorch, scikit-learn, TensorFlow |