The European HPC Summit Week 2018 in Ljubljana will gather main HPC stakeholders in Europe. Similar to previous years, this edition will also offer a wide variety of workshops covering a number of application areas where supercomputers are key, as well as HPC technologies and infrastructures.
European HPC Summit Week also offers a great opportunity to network with all relevant European HPC stakeholders, from technology suppliers and HPC infrastructures to scientific and industrial HPC users in Europe.
The EU-funded EaPConnect Project is organising two workshops during this week:
- Deep learning and Medical Data Mining workshop
- HPC virtualisation workshop
Deep learning and Medical Data Mining workshop
Date/time: Wednesday 30/05/2018 15:00-17:30
Location: room Seminar 3
Convener: Agnes Ansari, IDRIS (PRACE project)
- Deep Learning in Medical Image Analysis: experience and main challenges. Vassili Kovalev, PhD (Belarus)
- Image registration, active contours and Hadoop. Leon Kos, PhD (Slovenia)
Generation of artificial medical images: is this the way of solving all the problems? Siarhei Kazlouski (Belarus) - HPC Resources and services for Deep Learning and Data Mining HPC Experts. Agnès Ansari, PhD (France- PRACE)
- Round table discussion. All the participants
- Conclusion & Closing remarks
Workshop will give an overview of the data mining, image classification and analysis methods, the HPC resources, technologies and tools used in the PRACE5IP/WP6 Data Analytics working group. Tools which can be integrated in an HPC environment will be shown and the status of the PRACE Data Analytics service will be presented.
HPC virtualisation workshop
Date/time: Thursday 31/05/2018 14:30-17:00
Location: room Seminar 3
Convener: Abdulrahman Azab, University of Oslo
- Overview of the Linux containers technology
- Docker: Installation, building and managing Docker containers
- Singularity: Building singularity containers, converting Docker containers to singularity, and running singularity containers on the HPC cluster
- Singularity MPI/GPU exercise