National e-Science Project

1. National e-Science Project 2003. 8. 27 Jysoo Lee KISTI Supercomputing Center jysoo@kisti.re.kr Supercomputing Center

2. Table of Contents • Introduction • Definition • Concept • Goal • Current Status • Foreign status • Domestic status • Strategy for Project • Project Structure • Overview • e-Science center • e-Science forum • Application project

3. Definition of e-Science • e-Science is about providing significantly enhanced research infrastructure by utilizing distributed resources such as, computers, storage devices, scientific instruments, and experts using information technology “e-Science is about global collaboration in key areas of science, and the next generation of infrastructure that will enable it.” (John Taylor, Director General of Research Councils, OST/DTI, UK)

4. Evolution of IT industry • Starting from hardware, forms a vertical structure • New paradigm started by internet boom • Evolves to a horizontal structure

5. Evolution of Scientific Research • Scientific research methodology also forms a vertical structure • IT industry changes ways of doing research and development, but not its structure

6. Evolution through e-Science • e-Science is essential for the transition to a horizontal research infrastructure

7. Goals of e-Science • Advance research infrastructure and national competitiveness by effectively using distributed resources based on information technology • Making the best use of Korea’s IT infrastructure • Providing advanced collaborative environments to researchers distributed over the country • Helping the decentralization of the country

8. e-Science in US (1/6) • The United States is carrying out several e-Science projects in order to maintain her competitiveness in the area of science and technology

9. e-Science in US (2/6) • Overview • Total budget is over 2 billion dollars • 36% increase over last year • Each agencies are trying to achieve goals presented in ”IT for the 21st Century” (NTSC, 1999) • Priority Areas • Enhancing computing capability • Advanced modeling/simulation • Storage, process, and archive of data • Intelligent and networked robot • Protection of information and privacy • Ubiquitous computing and wireless network • Next generation computer • Software reliability • Development of global optical network

10. e-Science in UK (3/6) • Carrying out “UK e-Science Programme” by Department of Trade and Industry • National collaboration network

11. e-Science in UK (4/6) • Total Budget • 2001 ~ 2006 : Over 200 million pounds • Priority Areas • Construction of national e-Science Grid testbed by connecting regional e-Science centers • Generic/Industrial Grid Middleware • e-Health Grand Challenge • IRC (Interdisciplinary Research Collaboration) projects • Pilot projects

12. e-Science in Japan (5/6) • AIST is the key organization, project is reviewed by CSTP and IT committee • National collaborative network

13. e-Science in Japan (6/6) • Virtual research laboratory of ITBL • Budget : 160 million dollars (ITBL, 2001~2005) • Participating Organizations : JAERI, JST, NIMS, NAL, RIKEN, NIED, NII

14. Domestic Situation • Construction of Grid infrastructure is being constructed through “N*Grid Project” of Ministry of Information and Communication • Limited to the construction of next generation internet • Support for application projects are limited, only small scale projects are supported • National scale application projects are not possible • Sharing and remote use of expensive equipments in government labs and academic institutions are very limited

15. Project Strategy (1/5) • Construct national scale organization including ministries (MOST, MIC, and MOCIE), academia, and government labs • MIC: Advanced network, Grid infrastructure • MOST: e-Science research based on the infrastructure • MOCIE: Application of the research results to industries such as e-Business • Academia, government labs: Carrying out e-Science researches • National and regional e-Science center • National e-Science forum

16. Project Strategy (2/5)

17. Project Strategy (3/5)

18. Project Strategy (4/5)

19. Project Strategy (5/5) Grid vs e-Science • Grid • IT infrastructure for using distributed resources • Technology Push • e-Science • New paradigm for scientific research • Application Pull • e-Science, e-Business, e-Government are customized contents on Grid

20. Project Structure (1/2) • e-Science Center • Operation • Core software technology • Hardware implementation • e-Science Application Projects • Full scale application projects • Individual application projects • Pilot application projects • e-Science Forum

21. Project Structure (2/2) (Unit = 100 Million Wons)

22. e-Science Centers (1/3) • Construction of National e-Science Center • Construction of Regional e-Science Center (Application specific e-Science center)

23. Role of e-Science Center (2/3) • Construction of national and regional e-Science centers supported by Ministry of Science and Technology • Centers operates scientific equipments such as, supercomputers, large storage devices, advanced equipments, which will be connected using e-Science • Role of national e-Science center • Coordination and operation of national e-Science project • Leading edge organization in building e-Science infrastructure • Development and diffusion of e-Science technology • Training and support of e-Science technology • Facilitate collaboration with e-Science researchers • Role of regional e-Science center • Lead e-Science application research • Support of regional e-Science research

24. e-Science office (20 people) eDIKT Team Leaders (Dr.Virdee & Rutherford) R&D personnel : 10 UK e-Science Center (3/3) • eDIKT Team (12 people) • e-Science core technology research • Planning, administration, event coordination: 10 people) • Total: 32 people

25. e-Science Forum • Close collaborations between IT experts and application researchers are necessary for the realization of e-Science • Forum is necessary for experts from different areas to discuss their common interests • Primary Activities • Construction and support of working groups • Hold workshops • Collaboration and cooperation with other related organizations • Exchange of information on new e-Science technology • Support of new e-Science projects

26. Application Projects (1/2) • National scale projects • Individual projects • Pilot projects

27. Application Projects (2/2)

28. Remote Control, Data Acqusition KBSI Seoul KBSI Chuncheon Seoul Samsung, LG UHV-TEM Sending Data 3-D Analysis KISTI PC Cluster Supercomputer KBSI Daejeon Daejeon Application Server DB Server KBSI Daegu KBSI Jeonju Sample Preparation Visualization Teleconference KBSI Busan KBSI Kwangju Data Storage, Visualization UHV TEM e-Science High Speed Network

29. Earth Science e-Science • Schematic Diagram: • Sharing resources • Remote Collaboration Gathering of Observational data

30. Thank You !! 2003. 8. 23 Jysoo Lee KISTI Supercomputing Center jysoo@kisti.re.kr Supercomputing Center

31. Pacific Rim Application and Grid Middleware Assembly: PRAGMA A communitybuilding collaborations and advancing grid-based applications Peter Arzberger, parzberg@ucsd.edu Jysoo Lee, jysoo@kisti.re.kr Philip Papadopoulos, phil@sdsc.edu August 2003 http://www.pragma-grid.net

32. Science is an intrinsically global activity IVOA • The grid is transforming computing and • collaboration • The problem remains that the • grid is too hard to use • Middleware software needs to • interoperate Founding Motivations

33. Affiliate Member PRAGMA PARTNERS

34. PRAGMA Overarching Goals Establish sustained collaborations and Advance the use of the gridtechnologies for applications among a community of investigators working with leading institutions around the Pacific Rim Working closely with established activities that promote grid activities or the underlying infrastructure, both in the Pacific Rim and globally.

35. PRAGMA Telescience at iGRID 2002 • Demonstrate advanced features of the Telescience Portal: • Perform Telemicroscopy controlling the IVEM at NCMIR • Digital Video is encapsulated in IPv6 and transmitted at 30fps over native IPv6 networks • (SDSC, Abeline, SURFnet) between San Diego and Amsterdam • Data will be computed with heterogeneous, distributed resources within NCMIR, NPACI, NCHC and Osaka University • Render and visualize data in Amsterdam using distributed resources in NCHC Courtesy: Abel Lin, Steve Peltier, Mark Ellisman, Shinji Shimojo, Toyokazu Akiyama, Fang-Pang Lin

36. Grid Datafarm experiment between US and Japan HEP Application Using 4 nodes in each US and Japan, we achieved 741 Mbps for file transfer! （10-sec average bandwidth） Participants: AIST, KEK, Titech, TransPAC, SDSC Help: Maffin, APAN, Indiana U, Force 10 Networks Inc. Source: Osamu Tatebe

37. MOE 1 2 NCHC-HQ NCHC-CENTRAL 3 NDHU 4 Liberty Time 2003 March 09 5 United Daily 2003 March 09 6 NCHC-SOUTH NPUST 7 EcoGrid: Fushan

38. ENABLING NEW SCIENCE PARAMETER SEARCH 4 variables 15,876 points Refineable hypersurface GEOGRAPHIC DISTRIBUTION OF JOBS DURINGEXECUTION GRID TECHNOLOGIES Portals Middleware Graphics Computational Chemistry Engine Data Analysis Tools Hardware Monash, Australia HPCC, Japan CRAY, Japan SDSC, USA UCSD, USA CPE, Thailand KISTI, Korea PRAGMA 4 ICCS’03 GAMESS and Nimrod/G Exploiting grid technology & hybrid computational methods Source: Wibke Sudholt, Kim Baldridge, David Abramson, Colin Enticott, Slavisa Garic

39. PRAGMA TESTBED 12 16 76 80 16 15 8 32 24 31 32 28 Affiliate Member

40. PRAGMA 6: 16 – 18 May 2004 • Beijing, China • - Baoping Yan (CNIC): Chair Schedule of Meetings • PRAGMA 4: 4-5 June 2003, Melbourne, Australia • ICCS2003: 3-4 June • David Abramson (APAC): Chair; Co-chair: Fang-Pang Lin (NCHC) • PRAGMA 5: 22-23 October 2003, Hsinchu/Fushan, Taiwan • Taiwan Grid Meeting • Fang-Pang Lin (NCHC): Chair ; Co-chair: Kai Nan (CNIC)

41. Thank you http://www.pragma-grid.org