Difference between revisions of "EGI-Engage:AMB-2015-12-02"
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=== Task SA2.5 MoBrain === | === Task SA2.5 MoBrain === | ||
* A docker image with opencl + nvidia drivers + DisVis application ready to run on GPU servers has been prepared for Ubuntu, with the goals of checking performances described [https://drive.google.com/file/d/0B44fOmGpGehGWVVTXzZmU3F1WlE/view here]. | |||
* In collaboration with task JRA2.4 (see above) the DisVis docker image has been ported to the SL6 GPU servers forming the grid-enabled cluster at CIRMMP, and successful grid submissions to this cluster using the enmr.eu VO has been carried out with the expected performances the 1st of December. | |||
=== Task SA2.6 DARIAH === | === Task SA2.6 DARIAH === |
Revision as of 15:32, 1 December 2015
Activity Reports
WP1 (NA1) (Yannick Legre)
Milestones & Deliverables
Task NA1.1 Administrative and Financial Management
Task NA1.2 Technical Management
Task NA1.3 Quality and Risk Management
WP2 (NA2) (Sergio Andreozzi)
Milestones & Deliverables
Task NA2.1 Communication and Dissemination
Task NA2.2 Strategy, Business Development and Exploitation
Task NA2.3 SME/Industry Engagement and Big Data Value Chain
WP3 (JRA1) (Diego Scardaci)
Milestones & Deliverables
Task JRA1.1 Authentication and Authorisation Infrastructure
Task JRA1.2 Service Registry and Marketplace
Task JRA1.3 Accounting
Task JRA1.4 Operations Tools
Task JRA1.5 Resource Allocation – e-GRANT
WP4 (JRA2) (Matthew Viljoen)
Milestones & Deliverables
Task JRA2.1 Federated Open Data
Detailed specification of Open Data use cases
Task JRA2.2 Federated Cloud
- ooi first relase (https://appdb.egi.eu/store/software/ooi https://launchpad.net/ooi/occi-1.1/0.1)
- Conclusion of deliverables D4.2, D4.3.
- Information System initial discussions.
Task JRA2.3 e-Infrastructures Integration
- Start preparation of deliverables D4.5 and D4.6
- Analysis of requirements for accounting for D4Science
Task JRA2.4 Accelerated Computing
- Accelerated Computing in Grid
- Troubleshooting and fixing some misconfiguration at CIRMMP testbed
- Deployed MoBrain dockerized DisVis application at CIRMMP testbed. MoBrain users (through enmr.eu VO) can now run DisVis exploiting the GPU cluster at CIRMMP via the GPU-enabled CREAM-CE
- Start prepararing the process of certification: investigating the use of IM (UPV tool) for automatically deploying cluster on the EGI FedCloud to be used for the GPU-enabled CREAM-CE certification
- Accelerated Computing in Cloud
- Created new authentication module for logging into Horizon dashboard via keystone token
- Various client tools: getting token, installing nvidia+cuda,
WP5 (SA1) (Peter Solagna)
Milestones & Deliverables
Task SA1.1 Operations Coordination
Task SA1.2 Development of Security Operations
Task SA1.3 Integration, Deployment of Grid and Cloud Platforms
WP6 (SA2) (Gergely Sipos)
Milestones & Deliverables
Task SA2.1 Training
Task SA2.2 Technical User Support
Task SA2.3 ELIXIR
Task SA2.4 BBMRI
Task SA2.5 MoBrain
- A docker image with opencl + nvidia drivers + DisVis application ready to run on GPU servers has been prepared for Ubuntu, with the goals of checking performances described here.
- In collaboration with task JRA2.4 (see above) the DisVis docker image has been ported to the SL6 GPU servers forming the grid-enabled cluster at CIRMMP, and successful grid submissions to this cluster using the enmr.eu VO has been carried out with the expected performances the 1st of December.