Project Application Details

ARCHIE Project title: <1 TB
Project PI: Technology and Innovation Centre (TIC) 99 George Street
Department: 01-03-22
Address: Technology and Innovation Centre (TIC), 99 George Street, open-source software, G1 1RD
Relevant industrial collaborations: Made Smarter Innovation Digital Medicines Manufacturing Centre. Partners: Altair Engineering Ltd AstraZeneca BDD Pharma Ltd Blaze Metrics, LLC. Calderdale & Huddersfield NHS Foun Trust Cambridge Crystallographic Data Centre Centre for Process Innovation CPI (UK) Chiesi Pharmaceuticals Connected Everything Network+ (II) CPACT Dietrich Engineering Consultants S.A. EPSRC Future Manufact Hub Target Health Fette Compacting GlaxoSmithKline plc (GSK) Henry Royce Institute Knowledge Transfer Network KTN KUKA Robotics UK Limited Malvern Panalytical Ltd MEDELPHARM MG2 S.r.l. National Physical Laboratory nVIDIA Perceptive Engineering Ltd Process Systems Enterprises Ltd Smith & Nephew plc (UK) TUV SUD (UK) UCB
Existing relevant KTP activities:
Does the PI require to run calculations? 1
Number of users involved in the project: 36 months
User 1 details:

Dr Abiola Obamuyide

abiola.obamuyide@strath.ac.uk

CMAC, SIPBS, Strathclyde

PDRA

Service level requested: Really just access and operational protocols so Abiola can start to get ready
ARCHIE Project description: <1 TB
Potential output of the project:

New NLP models for extracting valuable pharmaceutical R&D data from historical and legacy data systems.

Project start date: 01-03-22
Duration of the project: 36 months
Total CPU time required (in hours): 400-500 hrs (GPU)
CPU hours required by typical job: 1
Approximate amount of data created per job (in GB): Really just access and operational protocols so Abiola can start to get ready
Approximate amount of data created per project: <1 TB
Funding Agency Grant Reference No: EP/V062077/1
pFact ID: tbc
RKES ID: tbc
Software required for the project: open-source software
Software required to be installed for the project: NVIDIA Megatron Language Model (NLP codes) – https://github.com/NVIDIA/Megatron-LM
Experience in using software package 1: 3
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
Other training required: Really just access and operational protocols so Abiola can start to get ready
Experience in using HPC: 5