Grid & Cloud Group

Grid & Cloud Computing Group


The GRID & Cloud Computing Group is a part of the Institute of Complex Systems of the University of Applied Sciences of Western Switzerland, Fribourg. This group, created and headed by Professor Pierre Kuonen, is working on topics related to parallel and distributed systems such as Cluster, Grid, Cloud or GPU computing systems. More specifically activities of the group are mainly focusing on the following aspects:

  • Parallel and distributing programing
  • Distributed architectures (Cloud, Grid, Clusters, Sensor networks, …)
  • Middelware for distributed systems (resource management,…)
  • Parallel and Distributed High Performance applications

The objective of the group is to be an excellence center able to provide support to industrial and to collaborate on research activities with other academic centers at national and international level. The GRID & Cloud Computing Group has been a partner of the European CoreGRID network of excellence.

The team

Current members

Name Function Office Phone email
Pierre Kuonen Professor D20.19 +41 26 429 6565 Email
François Kilchoer Professor D20.07 +41 26 429 6583 Email
Frédéric Bapst Professor D20.21 +41 26 429 6578 Email
Richard Baltensperger Professor D30.19 +41 26 429 6972 Email
Jean-François Roche Collaborator C00.14 +41 26 429 6569 Email
Beat Wolf PhD Student C10.08 …. Email

External members

Name Institution
Mehmet Emin Aydin University of the West of England, UK
Marcelo Pasin HE-ARC
Valentin Clément MeteoSwiss

Former members

Name Institution
Laurent Winkler Collaborator
Zhihua Lai Intern, PhD
Tran Que Nguyet Intern, Master
Kevin Cristiano PhD Student
Nicolas Brasey Collaborator
Ye Huang PhD Student
Tuan Anh Nguyen University of Technology, HoChiMinh City,Vietnam
Guilherme Peretti Pezzi Fellow
Augusto Born de Oliveira Santa Catarina Federal University, Brasil
Tiago Scheid Santa Catarina Federal University, Brasil
Ioan Sorin Comsa PhD Student
Jianping Chen PhD Student
Lu Yao PhD student


DAPLAB aims at facilitating the access for enterprises and universities to emerging technologies in the area of big data and intelligent data analysis by managing an infrastructure composed of cluster of servers dedicated to storage and computation, to which universities and local companies will have access.
With a focus on complex systems, iCoSys approaches the different challenges of DNA analysis with its expertise in various techniques acquired in the different domains of computer science.
VideoProtector is an innovative solution to manage cameras streams in a central place. This centralization offers also the possibility to run incident detection algorithms in a Software-as-a-Service (SaaS) mode.
Swiss Academic Compute Cloud (SwissACC) is an short project which complement the SMSCG project. The project provides a range of services and know-how from over 10 AAA/SWITCH projects. The 14 SwissACC partners work on two main objectives: sustaining and preserving the research communities of the former AAA/SWITCH grid projects, and increasing user and usage numbers. The project focuses on consolidating the services and simplifying the procedures that have been created to support Swiss communities. Its main goal is to free researchers from complex computational aspects of their research so they can focus on their core work.
The primary goal of the project SMSCG (Swiss Multi-Science Computing Grid) is to provide computational resources to solve scientific computational problems. This involves the installation, commissioning and operation of a computational grid across several institutions of the Swiss higher education sector with active involvement of applications from different scientific domains.


COJAC is a two-fold tool for Java. It provides a numerical sniffer that detects anomalies arising in arithmetic operations and an enriching wrapper that automatically converts every float/double data into richer number types. With COJAC you don't have to modify your source code or even recompile. All the work is done at runtime, when your application gets instrumented on-the-fly. Feel free to browse the source code at
DLL is a machine learning framework that aims to provide a C++ implementation of neural networks and convolutional neural networks.
ETL is a header only library for C++ that provides vector and matrix classes with support for Expression Templates to perform very efficient operations on them.
POP-C++ is a comprehensive object-oriented system for developing HPC applications on the Grid. It consists of a programming suite (language, compiler) and a run-time system for running POP-C++ applications.
POP-Java is a Java implementation of the POP programming model. POP-Java allows programmers to easily distribute object orientated Java applications over the network, without having to handle the low level distribution work themselves. POP-Java is compatible with other implementations of the POP model, such as POP-C++, allowing “mixed” applications to be written.

All projects here.