Working Groups

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SwiNG Working Groups (WG) implement and execute the scientific and technical program of SwiNG. The groups are made up of experts from member institutions.

To get more information about or to join a SwiNG Working Group, please contact the WG leaders directly!

SwiNG Working Groups



National eInfrastructure link (NeI-CH) 


NeI-CH is the the Swiss national eInfrastructure Link towards the European Grid and federated cloud infrastructure It is operated by AEC-LHEP on a mandate from the Swiss National Grid Assocation (SwiNG).

NeI-CH, represents the interests of the Swiss communities towards the international infrastructure.


Swiss Multi-Science Computing Grid (SMSCG)


The Swiss Multi-Science Computing Grid (SMSCG) is working on 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.




The ATLAS working group supports, monitors, and manages usage of the Swiss ATLAS Grid.


Swiss Academic Compute Cloud


Swiss Academic Compute Cloud (SwissACC) is an short project, serving as a funding bridge between theAAA/SWITCH program and the Information scientifique, accès, traitement et saufgarde program of CRUS.

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.


Academic Compute Cloud Provisioning and Usage


The AAA/SWITCH project investigates

  • how university cluster services can be extended and improved by making use of cloud computing technology,
  • the performance implications, and
  • how to accommodate new application usage models like MapReduce.

The scalability and reliability of this approach will be tested with real workloads. A distributed testbed infrastructure will be deployed at the ETH Zurich and the UZH. This testbed will be designed to be flexible and capable enough to explore a variety of computing models in order to understand the impact on various scientific applications. The testbeds will also be used as a reference resource for selected application scientists.

The cloud computing model has performance implications due to virtualization and is not always suitable for parallel computations or for data intensive workloads. The intention is to learn from this project how to decide whether the cloud model is suitable for an application or not, especially since the rapidly evolving capabilities of clouds.


Education & Training


The goal of the Education & Training WG is to prepare and perform SwiNG education and training material and events, such as a Swiss Grid School.