ARCHIE Project title: | 10GB |
Project PI: | Strathclyde Business School |
Department: | 13/11/2017 |
Address: | Strathclyde Business School, , user supplied code, G4 0GE |
Relevant industrial collaborations: | Collaborations with SSE and SPR through the TIC WInd Energy programme |
Existing relevant KTP activities: | |
Does the PI require to run calculations? | 1 |
Number of users involved in the project: | 31/04/2018 |
User 1 details: |
Dr Euan Barlow |
Service level requested: | Users are experienced with Matlab, and seperately with HPC, but it would be useful to be advised on the most efficient way of running Matlab code on ARCHIE |
ARCHIE Project description: | 10GB |
Potential output of the project: |
The intended output of the ARCHIE project will be a validated optimistion method |
Project start date: | 13/11/2017 |
Duration of the project: | 31/04/2018 |
Total CPU time required (in hours): | 12500 |
CPU hours required by typical job: | 1 |
Approximate amount of data created per job (in GB): | Users are experienced with Matlab, and seperately with HPC, but it would be useful to be advised on the most efficient way of running Matlab code on ARCHIE |
Approximate amount of data created per project: | 10GB |
Funding Agency Grant Reference No: | NA |
pFact ID: | 17138 |
RKES ID: | 170167 |
Software required for the project: | user supplied code |
Software required to be installed for the project: | Matlab |
Experience in using software package 1: | |
Software required to be installed for the project: | |
Experience in using software package 2: | 1 |
Software required to be installed for the project: | |
Experience in using software package 3: | 1 |
Training required: | Matlab, Other |
Other training required: | Users are experienced with Matlab, and seperately with HPC, but it would be useful to be advised on the most efficient way of running Matlab code on ARCHIE |
Experience in using HPC: | 6 |