| ARCHIE Project title: | 200Gb |
| Project PI: | School of Natural Sciences |
| Department: | 1st December |
| Address: | School of Natural Sciences, , open-source software, FK9 4LA |
| Relevant industrial collaborations: | |
| Existing relevant KTP activities: | |
| Does the PI require to run calculations? | 1 |
| Number of users involved in the project: | 4 months |
| User 1 details: |
Mr James McGuinness, jmc@cs.stir.ac.uk, University of Stirling, +44(0)1786 467428, PhD student |
| Service level requested: | |
| ARCHIE Project description: | 200Gb |
| Potential output of the project: |
This will contribute significantly to the PhD dissertation of McGuiness and will be the subject of a journal publication in eg Journal of Computational Neuroscience |
| Project start date: | 1st December |
| Duration of the project: | 4 months |
| Total CPU time required (in hours): | 50000 |
| CPU hours required by typical job: | 1 |
| Approximate amount of data created per job (in GB): | |
| Approximate amount of data created per project: | 200Gb |
| Funding Agency Grant Reference No: | |
| pFact ID: | |
| RKES ID: | |
| Software required for the project: | open-source software |
| Software required to be installed for the project: | NEURON (www.neuron.yale.edu) |
| 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: | Basic of using HPC |
| Other training required: | |
| Experience in using HPC: | 6 |