Explore our new offer on high performance computing and storage facilities
Recherche
Liens UNIL
Scientific Computing and Research Support Unit
Request for resources
Requests for resources, whether consisting of storage and/or computing resources, can be done via the Catalogue de services of the Centre informatique or directly through one of these links:
Request for research data storage
Request for computational resources
Request for virtual machines (workstations or servers)
Mission
The mission of the Scientific Computing and Research Support Unit (Division calcul et soutien à la recherche, DCSR, in French) is to provide computation and storage resources to the UNIL community as well as transverse expertise to the various faculties of the University and its affiliated institutes. The expertise ranges from high performance computing (HPC) programming support to full stack development consulting missions.
DCSR Structure
The DCSR consists of technical and sysadmin specialists seconded by a team of scientific advisors/consultants. The technical and sysadmin specialists are in charge of maintaining, operating and evolving the infrastructure stack in order to provide:
- computing resources over non-sensitive and sensitive data,
- storage resources for non-sensitive and sensitive data.
The scientific advisors act as consultants to the faculties and are engaged on specific research projects to support and help bootstrap researchers on the usage of the available, computing and storage resources. They also offer consulting services on scientific, statistical, storage and web development projects that researchers may have.
Governance
In order to support the Ci Management in the governance of the DCSR, two bodies have been set up - the Scientific Council and the Executive Committee - with the mission of ensuring the academic developments and needs of the UNIL research community.
Computing and Storage Infrastructure available in the DCSR
The infrastructure is set up to cater for a wide variety of storage needs: high performance storage for an HPC infrastructure, encrypted storage for the management of personal and/or sensitive data, various levels of data redundancy depending on the criticality of the data to be stored.
The division maintains:
- an HPC infrastructure,
- a storage infrastructure supporting different types of data operating or not in an HPC environment,
- a secured infrastructure for sensitive data (stay tuned, not yet launched)
- a virtual infrastructure (workstations and servers)
and provides in addition support to researchers in terms of HPC, guidance in predictive analytics, machine learning, big data, as well as full stack development (web and database support).
Access to Resources
To access storage or computing resources, users must be part of a research group. Each research group is headed by a principal investigator (PI) who maintains the users in his group.
The PI must be legitimized by the faculty/institute he/she is attached to in his role of principal investigator ; this allows him to engage the expenses inherent to the usage of the HPC or storage infrastructure. Note that the PI is not necessarily required to have full control of a budget and/or to be able to manage or hire research staff.
The DCSR team
Manager: Roberto Fabbretti PhD
Administration and finances: Anne-Christine Butty PhD
Systems Support:
Storage: Roberto Fabbretti PhD
Systems engineer: Volker Flegel
Applicative Support:
HPC:
- Cristian Ruiz PhD
- Emmanuel Jeanvoine PhD
Data Science, Machine Learning: Philippe Jacquet PhD
Web, Databases: Thierry Lombardot PhD
Data valorisation:
Data modeling: Marion Rivoal PhD
Web, Databases: Loic Jaouen
Embedded research support
FBM: Arianna Ravera
FDCA: Hugo Hueber
FTSR: Samy Ibriz Pelaez
Lettres: Mahmoud Assaf
HEC: Flavio Calvo PhD, Margot Sirdey PhD
FGSE: Flavio Calvo PhD, Margot Sirdey PhD
SSP: Glen Lomax
Ticketing: Help desk Ci-UNIL
Training courses.
| Course | Date |
|
Research - Introduction to Linux (commands and tools) for HPC |
Monday 30th September 2024 - from 8:30 to 12:00 and 13:30 to 17:00 |
|
Research - Introduction to reproducible research using version control |
Thursday 3rd October 2024 - from 13:30 to 17:00 |
| Wednesday 2nd October 2024 - from 8:30 to 12:00 and from 13:30 to 17:00 | |
| Research - Introduction to parallel comnputing with Python, Julia, and R | To be defined |
|
Research - A Gentle Introduction to Deep Learning with Python and R |
To be defined |
|
Research - A Gentle Introduction to Decision Tree and Random Forest with Python and R |
To be defined |
Once the course is announced you can register here: https://courses.unil.ch/ci
Contact DCSR
Roberto Fabbretti PhD
Roberto.Fabbretti@unil.ch
+41 21 692 40 32
Terms and Conditions
