AMPS: Analysis of Massively Parallel Stochastic Systems

Lead Research Organisation: Newcastle University
Department Name: Computing Sciences

Abstract

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Description New models and modelling techniques to support the analysis of massively parallel systems.
Exploitation Route Predominently for academic research.
Sectors Digital/Communication/Information Technologies (including Software)

URL http://homepages.cs.ncl.ac.uk/nigel.thomas/
 
Description Cited by other academic researchers.
First Year Of Impact 2010
Sector Digital/Communication/Information Technologies (including Software)
 
Description EPSRC responsive mode
Amount £41,000 (GBP)
Funding ID EP/G050724/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 09/2009 
End 03/2010
 
Description AMPS 
Organisation Imperial College London
Country United Kingdom 
Sector Academic/University 
PI Contribution Expertise in modelling and application domains.
Collaborator Contribution Expertise in modelling and application domains.
Impact Several research papers.
Start Year 2009
 
Description AMPS 
Organisation University of Illinois at Urbana-Champaign
Country United States 
Sector Academic/University 
PI Contribution Expertise in modelling and application domains.
Collaborator Contribution Expertise in modelling and application domains.
Impact Several research papers.
Start Year 2009
 
Description CAMPA 
Organisation Imperial College London
Country United Kingdom 
Sector Academic/University 
PI Contribution The PI was a visiting researcher at Imperial for six months.
Collaborator Contribution Expertise in modelling and analysis.
Impact A number of research papers.
Start Year 2009