As a group we are also part of the Linnaeus University Centre for Data Intensive Sciences and Applications (DISA).
The centre addresses data-driven methods to gain deeper knowledge and understanding in a variety of applications in engineering, science and humanities and is therefore a cross-faculty meeting point.
Our research activities in gamma-ray astronomy require intensive Monte Carlo simulations, the use and optimization of machine learning algorithms, the development of analysis methods, and extremely efficient data handling.
In the framework of DISA, we have started to install computing infrastructure. The first step in this direction has been the installation of a High Performance Computing Cluster composed by 8 servers, with dual 20-core CPUs @2.4GHz and 768 GB RAM, 16 NVIDIA Quadro P4000 GPUs (1792 cores @1.48GHz, 8 GB RAM) and approximately 26 TB disk space (fast NVMe storage). We hope to increase the capacity of the cluster soon.
Next public event: Big Data Hackathon promoting open source and open science.
Here below you may find the links to the University pages: