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The UK e-Science Programme & The National e-Science Centre Malcolm Atkinson Director of NeSC Universities of Edinburgh and Glasgow Scottish Regional Forum.

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Presentation on theme: "The UK e-Science Programme & The National e-Science Centre Malcolm Atkinson Director of NeSC Universities of Edinburgh and Glasgow Scottish Regional Forum."— Presentation transcript:

1 The UK e-Science Programme & The National e-Science Centre Malcolm Atkinson Director of NeSC Universities of Edinburgh and Glasgow Scottish Regional Forum 17 th January 2002

2 Contents What is e-Science? What do we expect from the Grid? Some examples of e-Science projects The UK e-Science Programme NeSC’s Role & Structure e-Science Institute The Road ahead

3 What is e-Science? An acceleration of a trend? A sea change in scientific method? A new opportunity for science?

4 Accelerating Trend More and More data Instrument resolution doubling /12 months Instrument and telemetry speeds increasing Storage capacity doubling / 12 months Number of data sources doubling / ?? months More and More Computation Computations available doubling / 18 months Analyses and simulations increasing Faster networks Raw bandwidth doubling / 9 months These Integrate and Enable More interplay between computation and data More collaboration among scientists, medics, engin…. More international collaboration

5 Sea Change In Silico discovery Exploration of data and models predicts results Verified by directed experiments  Combinatorial chemistry  Gene function  Protein Structure, … Shared Resources Researcher’s Workbench  Laboratory team  Multi-national network of labs + modellers  Public instruments, repositories and simulations Floods of (public) data + diversity More than can be used by human inspection Gene sequence doubling / 9 months   Searches required doubles / 4.5 months 1. Prior test against data and models 2. Experimental Procedures 3. Sanity check on results against data and models

6 But … Skilled scientists and computer scientists Roughly static in number Diminishing in available attention for any task Distributed systems remain hard  E.g. component failures and latency are always with us Important data still in documents More subjects experiencing the Data deluge Analysis avalanche Simulation bonanza Collaboration growth Must therefore find general solutions And make technology easier to use

7 The New Behaviour Shared Infrastructure Intrinsically distributed Intrinsically multi-organisational Multiple uses interwoven Shared Software A new attempt at making distributed computing economic, dependable and accessible Scientists from all disciplines share in its design and use Shared & Automated System Administration Replicated farms of replicated systems Autonomic management Immediate benefit Faster transfer of ideas and techniques between disciplines Amortisation of development, operation and education

8 Not Just Scientists Engineers They already travel the same path Finance, economy, politics, … We can expect best use of data and models to guide the decisions that affect our lives e.g. home climate simulation may moderate greenhouse gas emissions Medicine See above Industry & Commerce See above The UK Office of Science & Technology Has these extensions firmly in mind So have twelve computing & S/W companies  Signed agreements with GGF

9 Several Assumptions The Technology is Ready Not true — its emerging  Joining in the task of building middleware  Of Advancing Standards  Of Developing Dependability The Scientists / Engineers, … want this Not universally true  Addressed by Pilot projects and Demonstrators  Addressed by The e-Science Institute One Size Fits All Not true  Addressed by a minimum set of composable virtual services  But starting with Globus It’s only for “big” science No — “small” science collaborates too! We know how we will use grids No — Disruptive technology

10 DOE X-ray grand challenge: ANL, USC/ISI, NIST, U.Chicago tomographic reconstruction real-time collection wide-area dissemination desktop & VR clients with shared controls Advanced Photon Source Online Access to Scientific Instruments archival storage From Steve Tuecke 12 Oct. 01

11 Supernova Cosmology Requires Complex, Widely Distributed Workflow Management

12 Mathematicians Solve NUG30 Looking for the solution to the NUG30 quadratic assignment problem An informal collaboration of mathematicians and computer scientists Condor-G delivered 3.46E8 CPU seconds in 7 days (peak 1009 processors) in U.S. and Italy (8 sites) 14,5,28,24,1,3,16,15, 10,9,21,2,4,29,25,22, 13,26,17,30,6,20,19, 8,18,7,27,12,11,23 MetaNEOS: Argonne, Iowa, Northwestern, Wisconsin From Miron Livny 7 Aug. 01

13 Network for Earthquake Engineering Simulation NEESgrid: national infrastructure to couple earthquake engineers with experimental facilities, databases, computers, & each other On-demand access to experiments, data streams, computing, archives, collaboration NEESgrid: Argonne, Michigan, NCSA, UIUC, USC From Steve Tuecke 12 Oct. 01

14 Community = 1000s of home computer users Philanthropic computing vendor (Entropia) Research group (Scripps) Common goal= advance AIDS research Home Computers Evaluate AIDS Drugs From Steve Tuecke 12 Oct. 01

15 UK e-Science From presentation by Tony Hey

16 £80m Collaborative projects E-Science Steering Committee DG Research Councils Director Director’s Management Role Director’s Awareness and Co-ordination Role Generic Challenges EPSRC (£15m), DTI (£15m) Industrial Collaboration (£40m) Academic Application Support Programme Research Councils (£74m), DTI (£5m) PPARC (£26m) BBSRC (£8m) MRC (£8m) NERC (£7m) ESRC (£3m) EPSRC (£17m) CLRC (£5m) Grid TAG e-Science Programme From Tony Hey 27 July 01

17 UK e-Science Initiative (1) £120M 3 Year Programme to create the next generation IT infrastructure to support e-Science and Business SR2000 – Funded UK e-Science Grid and Grid Support Centre, e-Science Application research projects and industrial collaboration SR2002 – Bidding for additional funding to extend scope of e-Science programme Essential that UK plays a leading role in Global Grid development with the USA, EU and Asia From presentation by Tony Hey

18 UK e-Science Initiative (2) £120M Programme over 3 years £75M is for Grid Applications in all areas of science and engineering £10M for Supercomputer upgrade £35M for development of ‘industrial strength’ Grid middleware  Require £20M ‘matching’ funds from industry Prof. Tony Hey Director of the Core Programme From presentation by Tony Hey

19 Cambridge Newcastle Edinburgh Oxford Glasgow Manchester Cardiff Southampton London Belfast DL RAL Hinxton UK Grid Network From Tony Hey 27 July 01

20 Scotland via Glasgow NNW Northern Ireland MidMAN TVN South Wales MAN SWAN& BWEMAN WorldCom Glasgow WorldCom Edinburgh WorldCom Manchester WorldCom Reading WorldCom Leeds WorldCom Bristol WorldCom London WorldCom Portsmouth Scotland via Edinburgh YHMAN NorMAN EMMAN EastNet External Links LMN Kentish MAN LeNSE 10Gbps 622Mbps 155Mbps SuperJanet4, June 2002 20Gbps 2.5Gbps From presentation by Tony Hey

21 Access Grid Nodes Technology Developed by Rick Stevens’ group at Argonne National Laboratory Access Grid will enable informal and formal group to group collaboration Distributed lectures and seminars Virtual meetings Complex distributed grid demos Uses MBONE and MultiCast Internet Technologies Access Grid From presentation by Tony Hey

22 Grid Middleware R&D £16M funding available for industrial collaborative projects £11M allocated to Centres projects plus £5M for ‘Open Call’ projects - approved £0.5M ‘Centre’ project with Imperial College Sun Centre of Excellence Set up two Task Forces - Database Task Force ( Chaired by Norman Paton from Manchester Centre ) - Architecture Task Force ( Chaired by Malcolm Atkinson, Director of NeSC ) From presentation by Tony Hey

23 Equator: Technological innovation in physical and digital life AKT: Advanced Knowledge Technologies DIRC: Dependability of Computer-Based Systems MIAS: From Medical Images and Signals to Clinical Information IRC ‘Grand Challenge’ Project From presentation by Tony Hey

24 e-Healthcare Grand Challenge Funding £0.5M projects to give Grid dimension to these IRCs Funding £2M Joint IRC projects with MIAS on e-Healthcare application Example: Breast cancer surgery – normalization of mammography and ultrasound scans - FE modelling of breast tissue  Deliver useful clinical information to surgeon ensuring privacy and security From presentation by Tony Hey

25 UK e-Science Projects £75M for e-Science application ‘pilots’ - spans all sciences and engineering Particle Physics and Astronomy (PPARC) - £20M GridPP and £6M AstroGrid Engineering and Physical Sciences (EPSRC) - funding 6 projects at around £3M each Biology, Medical and Environmental Science - projects with total value of £20M will be announced soon From presentation by Tony Hey

26 Particle Physics and Astronomy e-Science Projects GridPP links to EU DataGrid, CERN LHC Computing Project, US GriPhyN and PPDataGrid Projects, and iVDGL Global Grid Project AstroGrid links to EU AVO and US NVO projects From presentation by Tony Hey

27 Comb-e-Chem:Structure-Property Mapping Southampton, Bristol, Roche, Pfizer, IBM DAME: Distributed Aircraft Maintenance Environment York, Oxford, Sheffield, Leeds, Rolls Royce Reality Grid: A Tool for Investigating Condensed Matter and Materials QMW, Manchester, Edinburgh, IC, Loughborough, Oxford, Schlumberger, … EPSRC e-Science Projects (1) From presentation by Tony Hey

28 EPSRC e-Science Projects (2) My Grid: Personalised Extensible Environments for Data Intensive in silico Experiments in Biology Manchester, EBI, Southampton, Nottingham, Newcastle, Sheffield, GSK, Astra-Zeneca, IBM, Sun GEODISE: Grid Enabled Optimisation and Design Search for Engineering Southampton, Oxford, Manchester, BAE, Rolls Royce Discovery Net: High Throughput Sensing Applications Imperial College, Infosense, … From presentation by Tony Hey

29 Comb-e-Chem Structure-Property Mapping Goal is to integrate structure and property data sources within knowledge environment to find new chemical compounds with desirable properties - Accumulate, integrate and model extensive range of primary data from combinatorial methods - Support for provenance and automation including multimedia and metadata Southampton, Bristol, Cambridge Crystallographic Data Centre, Roche Discovery, Pfizer, IBM From presentation by Tony Hey

30 MyGrid e-Science Workbench Goal is to develop ‘workbench’ to support: Experimental process of data accumulation Use of community information Scientific collaboration Provide facilities for resource selection, data management and process enactment Bioinformatics applications Functional genomics, pattern database annotation Manchester, EBI, Newcastle,Nottingham, Sheffield, Southampton GSK, AstraZeneca, Merck, IBM, Sun,... From presentation by Tony Hey

31 e-Science Demonstrators Dynamic Brain Atlas Biodiversity Chemical Structures Mouse Genes Robotic Astronomy Collaborative Visualisation Climateprediction.com Medical Imaging/VR From presentation by Tony Hey

32 Contents What is e-Science? What do we expect from the Grid? The UK e-Science Programme NeSC’s Role & Structure The Road ahead

33 NeSC’s context NeSC eSI GSC Application PilotsIRCs …e-Science Centres e-Scientists, Grid users, Grid services & Grid Developers UK Core DirectorateGlobal Grid Forum … CS Research TAG DBTF ATF GNT Coordination

34 NeSC’s Roles Stimulation of Grid & e-Science Activity Users, developers, researchers Education, Training, Support Think Tank & Research Coordination of Grid & e-Science Activity Regional Centres, Task Forces, Pilots & IRCs Technical and Managerial Fora Support for training, travel, participation Developing a High-Profile e-Science Institute Meetings Visiting Researchers International Collaboration Regional Support Portfolio of Industrial Research Projects

35 NeSC — The Team Director Malcolm Atkinson (Universities of Glasgow & Edinburgh) Deputy Director Arthur Trew (Director EPCC) Commercial Director Mark Parsons (EPCC) Regional Director Stuart Anderson (Edinburgh Informatics) Chairman Richard Kenway (Edinburgh Physics & Astronomy) Initial Board Members Muffy Calder (Glasgow Computing Science) Tony Doyle (Glasgow Physics & Astronomy) Centre Manager Anna Kenway Conference Manager Andrea Grainger

36 e-Science Institute The Story so Far August & September  3 workshops week 1: DF1, GUM1 & DBAG1  HEC2 and the Grid  preGGF3 & DF2 October  Steve Tuecke Globus tutorial (oversubscribed)  4-day workshop Getting Going with Globus (G3) –Reports on DataGrid & GridPP experience  Biologist Grid Users’ Meeting 1 (BiGUM1) November  GridPP  Configuration management December  Architecture & Strategy with Ian Foster et al.  AstroGrid  DIRC meeting 625 participants, 107 organisations, so far

37 eSI Highlights cont. 2002 January  Regional meeting  Steve Tuecke et al. 4 day Globus Developers’ Workshop  Pilot project workshop  Grid Portals & Problem Solving Environments Workshop February — closed for renovation March  Protein folding Workshop 14 th to 17 th IBM sponsor April  XML, XML Schema, Web Services Tutorials  Getting OGSA Going Workshop  Managing Grid Software Projects Advanced Tutorials  Digital Libraries, Librarians, Museums and the Grid May  Mind and Brain Workshop

38 eSI continued 21 st to 26 th July 2002 GGF5 & HPDC 11 EICC August Research Festival ? 14 th to 16 th April 2003 Dependability

39 Suggestions Please e-Science Institute Welcomes suggestions and organisers Any topic related to e-Science How your subject may use e-Science How your technology may benefit e-Science Any format Tutorial, advanced tutorial, workshop, scientific meeting We can give travel, organisation, accommodation support This building renovated! Mail director@nesc.ac.uk

40 Contents What is e-Science? What do we expect from the Grid? The UK e-Science Programme NeSC’s Role & Structure The Road ahead

41 Where to Concentrate International & Industrial Collaboration Ideas, experiments, software, standards Integrating Data across the Grid Data growth demands new methods Data ownership expects respect & security Data is hard to scan — indexing & query Data is hard to move — query & move code Human attention is scarce but essential  Machine-assisted annotation, provenance, archiving  Machine-assisted data mining  Machine-assisted ontology construction & integration Human-factors must drive designs Dynamic, Dependable and Virtual Fabric Improved Programming Models

42 For more Information Ask me www.nesc.ac.uk director@nesc.ac.uk Thank you for your attention or for arriving early for the next talk


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