Project Application Details

ARCHIE Project title: 2 TB
Project PI: 99 George Street TIC, level 4
Department: 26/08/2019
Address: 99 George Street, TIC, level 4, licensed software, G1 1RD
Relevant industrial collaborations: European Space Agency, Powerline Technologies Ltd, Chronos Technology
Existing relevant KTP activities:
Does the PI require to run calculations? 1
Number of users involved in the project: Approx. 2 months
User 1 details:

Chunpeng Li, PhD student, University of Strathclyde, chunpeng.li@strath.ac.uk

User 2 details:

N/A

User 3 details:

N/A

Service level requested:
ARCHIE Project description: 2 TB
Potential output of the project:

Validation of a machine learning algorithm, and publication of results (target to be confirmed).

Project start date: 26/08/2019
Duration of the project: Approx. 2 months
Total CPU time required (in hours): 1000 hours
CPU hours required by typical job: 1
Approximate amount of data created per job (in GB):
Approximate amount of data created per project: 2 TB
Funding Agency Grant Reference No: NAVISP-El2-012
pFact ID: 18807
RKES ID: R171406-102 11030
Software required for the project: licensed software
Software required to be installed for the project: MATLAB, with Simulink and SimPowerSystems
Experience in using software package 1: 10
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:
Other training required:
Experience in using HPC: 2