Project Application Details

ARCHIE Project title: unknown
Project PI: 26 Richmond Street
Department: ASAP
Address: 26 Richmond Street, , open-source software, G1 1XH
Relevant industrial collaborations:
Existing relevant KTP activities:
Does the PI require to run calculations? 1
Number of users involved in the project: unknown
User 1 details:

Miss Ines Ruiz.
Email: ines.ruiz.2020@uni.strath.ac.uk
Institution: Strathclyde University
Tel No: 07415847844
Position: Data Scientist (KTP Associate)

User 2 details:

Dr Dmitri Roussinov
dmitri.roussinov@strath.ac.uk
Institution: Strathclyde University
Senior Lecturer
01415483700

Service level requested: Running ML on Archie if possible
ARCHIE Project description: unknown
Potential output of the project:

As a KTP we will be aiming for publications plus an impact case study. This is the start of a two year project, so it’s too early to say which journals, but these will be in both computing and marketing.

Project start date: ASAP
Duration of the project: unknown
Total CPU time required (in hours): unknown
CPU hours required by typical job: 1
Approximate amount of data created per job (in GB): Running ML on Archie if possible
Approximate amount of data created per project: unknown
Funding Agency Grant Reference No: KTP ref 12730 / IUK ref 10008160
pFact ID: 13429
RKES ID: 210062
Software required for the project: open-source software
Software required to be installed for the project: Various deep learning packages for NLP, will need to discuss
Experience in using software package 1: 6
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 Linux, Basic of using HPC, Other
Other training required: Running ML on Archie if possible
Experience in using HPC: 1