| ARCHIE Project title: | 10G |
| Project PI: | 10 Clinton Road Edinburgh |
| Department: | 17/May/2021 |
| Address: | 10 Clinton Road, Edinburgh, open-source software, Eh10 5DT |
| Relevant industrial collaborations: | OCT |
| Existing relevant KTP activities: | |
| Does the PI require to run calculations? | 7 |
| Number of users involved in the project: | 31/May/2021 |
| User 1 details: |
Dr Shufan Yang, s.yang@naper.ac.uk, Edinburgh Napier University, Associate Professor |
| User 2 details: |
Yubo Li , y.li@dundee.ac.uk, University of Dundee, PhD student |
| Service level requested: | |
| ARCHIE Project description: | 10G |
| Potential output of the project: |
segmentation mask image. |
| Project start date: | 17/May/2021 |
| Duration of the project: | 31/May/2021 |
| Total CPU time required (in hours): | 3840 (GPU hours) |
| CPU hours required by typical job: | 7 |
| Approximate amount of data created per job (in GB): | |
| Approximate amount of data created per project: | 10G |
| Funding Agency Grant Reference No: | Internal funding |
| pFact ID: | |
| RKES ID: | |
| Software required for the project: | open-source software |
| Software required to be installed for the project: | python3.6 |
| Experience in using software package 1: | 7 |
| Software required to be installed for the project: | pytorch |
| Experience in using software package 2: | 7 |
| Software required to be installed for the project: | |
| Experience in using software package 3: | 1 |
| Training required: | Basic of using HPC, Visualisation in VMD, Scripting languages |
| Other training required: | |
| Experience in using HPC: | 5 |