Alert.png The wiki is deprecated and due to be decommissioned by the end of September 2022.
The content is being migrated to other supports, new updates will be ignored and lost.
If needed you can get in touch with EGI SDIS team using operations @

Accelerated computing VO

From EGIWiki
Revision as of 16:08, 24 May 2019 by Viet (talk | contribs)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search
EGI-Engage project: Main page WP1(NA1) WP3(JRA1) WP5(SA1) PMB Deliverables and Milestones Quality Plan Risk Plan Data Plan
Roles and
WP2(NA2) WP4(JRA2) WP6(SA2) AMB Software and services Metrics Project Office Procedures

Accelerated computing VO

This VO is dedicated for users to develop and test applications/VMs that use GPGPU or other types of accelerated computing. These applications require special VM images with pre-installed drivers and libraries (e.g CUDA, OpenCL) and only supported on certain sites with relevant hardware. With a dedicated VO, users of accelerated computing can have separated image list in AppDB, separated list of sites supporting the VO, separated support unit in GGUS what can improve user experiences. Furthermore, a separated VO allows users to share and exchange their knowledge and experiences related to Accelerated computing easier than general-purpose VO like

This VO should not be used for running large GPGPU applications in production. After successful development and testing, users should move their apps to application-specific VO for running in production.


Viet Tran/IISAS, VO manager

Marco Verlato/INFN, VO manager

Jan Astalos/IISAS, site admin

Miroslav Dobrucky/IISAS, site admin


Users can register to VO at A valid EGI CheckIn account is required for registration.


Instruction how to use GPGPU in FedCloud is available at More detailed instruction will be provided.

A generic knowledge about working in EGI Federated cloud would be useful. Please find a short instruction to EGI Federated cloud at


User mailing list:

Back to Accelerated Computing task