e-Science Centre of Excellence The White Rose Grid Peter Dew Chair of the White Rose Grid Executive 1 e-Science Centre of Excellence Overview • • • • About the White Rose Grid WRG activities WRG plans Concluding remarks 2 e-Science Centre of Excellence • • • • About the WRG The White Rose Grid (WRG) is an association of the three research Universities - Leeds, York & Sheffield WRG works under the auspices of the White Rose University Consortium (featured as a model of collaboration and enterprise in the HEFCE White Paper) It employs complementary skill bases to support both: larger projects than can be delivered by any one University, and a broad research agenda It aims: – to strengthen e-Science research (using experience gained from eScience projects such as DAME, or gViz) • initial focus – decision support (engineering, health, social science) – scientific visualisation – to access inter-enterprise computing resources via grid portals – to assess, in collaboration with Yorkshire Forward, regional demand for Grid technology 3 e-Science Centre of Excellence Commitment • Senior staff • White Rose Grid Executive – White Rose • Martin Doxey: md21@cs.york.ac.uk – University of Leeds • Peter Dew: dew@comp.leeds.ac.uk • Ken Brodlie kwb@comp.leeds.ac.uk – University of York • Jim Austin: jim.austin@cs.york.ac.uk – University of Sheffield • Peter Fleming: p.fleming@sheffield.ac.uk • IT Vendors – Esteem – Sun & Streamline • WRG Project teams 4 e-Science Centre of Excellence WRG systems • Purposely acquired - with over £3M investment - 4 HPC nodes (in total nearly 500 CPUs) • To be extended with the additional £1.8M investment • A heterogeneous facility comprising 3 clusters of Sun shared-memory systems and 2 Intel processor-based Beowulf clusters 25% • To offer both: – local HPC services (75% resources) – the Grid infrastructure (25% resources) • Each node specialises in the provision of a WRG distinct service 75% resource allocation 5 e-Science Centre of Excellence The WRG architecture General Purpose HPC node CFD node Engineering Application node Computer Science node 6 e-Science Centre of Excellence WRG project teams •Joint support teams across the three universities Architecture Team Globus, MyProxy, portals Authentication, Authorisation user management, usage account. & Accounting Team X.509 digital certificates Technical Team stable service Training Team HPC techniques, Grid access & applications Business Outreach Team WRG USERS working with regional companies & universities 7 e-Science Centre of Excellence WRG research projects The White Rose Grid system is used to compute 3D convection in the Earth’s mantle using a numerical model. This figure shows a snapshot of the temperature field from one such calculation; depicting a cold isosurface in blue and a hot one in yellow. Courtesy of Julian P Lowman, School of Earth Science, University of Leeds. 8 e-Science Centre of Excellence Grid Optimisation Software for Problems of Elastohydrodynamic Lubrication • • • • • Roughness The GOSPEL e-Science project combines the numerical solver and the optimisation work into one Grid-enabled application run in parallel Built inside a Problem Solving Environment (PSE) in IRIS Explorer Achievements include: – largest EHL calculations undertaken with meshes of 8000x8000 leading to 64 million dense nonlinear equations Research undertaken by: M Berzins, C Goodyer, P Jimack & L Scales Funded by Shell and the e-Science Core Programme Film Thickness 9 e-Science Centre of Excellence Visualization middleware for e-Science The gViz project, led by Prof K Brodlie, aims to provide today’s e-Scientist with visualization software that works within modern Grid environments Figure: Grid-enabled distributed IRIS Explorer 10 e-Science Centre of Excellence DAME Grid Services 11 e-Science Centre of Excellence 12 e-Science Centre of Excellence Struts-based Portal using OGSI Browser View X Configuration Controller View Y • View Z • Action X Action Y Action Z • Workflow Manager Grid Service A Grid Service B Grid Service C Grid Service D • Centralise request handling and decision points, e.g. security Avoid “cut & paste” code distribution Separate business logic from views Easier to maintain, update and extend functionality 13 e-Science Centre of Excellence • Dependable, secure quality service secure quality service 14 e-Science Centre of Excellence Business benefits • The WRG underpins a variety of e-Science projects e.g. DAME, HYDRA, gViz • The WRG has engaged on a two-year outreach project (funded by YF) to assess the value of a regional Grid infrastructure. These activities include: – assessment of regional interest – development of a business plan identifying the type of services, and the role – supported by both accountants Deloitte & Touche and solicitors Hammonds – provision of a trial infrastructure for company incubators at the Innovation Centres/Science Parks of the three Universities 15 e-Science Centre of Excellence WRG Evolution e-Science Grid & National Grid Service WRG C EDG/EGEE WUN Grid C C Academic Service Infrastructure WRG Outreach Companies Buy On-demand Services” 16 e-Science Centre of Excellence Concluding remarks • The WRG focus is on : – distributed diagnostics – collaborative visualisation – High Energy Physics • Underpinned by – Research: dependable, secure quality service • Future tasks: – increase the cross-site usage – to develop further Grid portals – to continue to work with regional companies 17 e-Science Centre of Excellence References • White Rose University Consortium http://www.whiterose.ac.uk • WRG web site - http://www.wrgrid.org.uk/ • DAME XTO portal – http://iri02.leeds.ac.uk:8080/damexto/damexto • P M Dew, J G Schmidt, M Thompson, P Morris The White Rose Grid: practice and experience – in the proceedings of the All Hands conference 18 e-Science Centre of Excellence Thank you for your attention 19