Colloquium: SHAPE - Removing Barriers to HPC for SMEs

Event Details:


  • Date: Thursday 23 November 2017
  • Time: 16:00 - 17:00
  • Venue: The Cyprus Institute – Guy Ourisson Building, Seminar Room, 1st Floor, Athalassa Campus
  • Speaker: Paul Graham, University of Edinburgh

SHAPE (SME HPC Adoption Programme in Europe) is a pan-European initiative supported by the PRACE (Partnership for Advanced Computing in Europe) project. It can be challenging for SMEs to adopt HPC. They may have no in-house expertise, no access to hardware, or be unable to commit resources to a potentially risky endeavour. This is where SHAPE comes in, by making it easier for SMEs to make use of high-performance computing in their business - be it to improve product quality, reduce time to delivery or provide innovative new services to their customers.

Successful applicants to the SHAPE programme get effort from a PRACE HPC expert and access to machine time at a PRACE centre. In collaboration with the SME, the PRACE partner helps them try out their ideas for utilising HPC to enhance their business. In this talk, I will describe the mechanism of SHAPE and present some of the success stories from the SMEs that we have worked with.

About the Speaker
Paul Graham is a Software Architect at Edinburgh Parallel Computing Centre (EPCC) at the University of Edinburgh, UK, and is the coordinator of SHAPE (SME HPC Adoption Programme in Europe), a pan-European programme that promotes High Performance Computing adoption by SMEs (small to medium sized enterprises), supported as part of the PRACE initiative.

Paul graduated in 1995 with a BSc (Hons) in Computational Physics from Edinburgh University, and then went to work at the ICI Wilton Research & Technology Centre in Middlesbrough as a member of their Computer Modelling Team. Paul subsequently joined EPCC in 1998, and in the years since has worked on a broad range of projects, principally with industrial and commercial partners, as both project manager and technical lead. Technical highlights include data mining for a national bank, software performance optimisation for Rolls Royce, parallelisation of electro-magnetic modelling code for the oil industry, modelling virtual musical instruments using GPUs, and many projects with local SMEs, enabling the technology transfer of EPCC's High Performance Computing expertise.