Transcript EDI S ON
EDI ON
ED
ucation-research
I
ntegration through
S
imulation
O
n the
N
et(
EDISON
)
Kum Won Cho
Dept. of Cyber Environment Development, Supercomputing Center, KISTI (Korea Institute of Science and Technology Information)
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Contents
• • • • Introduction ▫ The Status of Korea’s R&D ▫ The Status of Higher Education in Science and Engineering EDISON ▫ What is EDISON?
▫ Conceptual Model ▫ Structure of EDISON EDISON CFD ▫ A Pilot Project of EDISON CFD ▫ Advantages of EDISON CFD Conclusion ▫ Future Directions for the Higher Education 2
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Introduction to KISTI
Introduction EDISON CFD Conclusion 3
KISTI Supercomputing Center (National Supercomputing Center)
Dept. of Application & Support Dept. of Cyber Environment Development Dept. of Infrastructure Technology Development Dept. of Computing & Networking Resources
KISTI Supercomputing Center is responsible for national cyberinfrastructure of Korea Four departments
Resource User Support Cyber Environment Technology Key Statistics
Over 150 staffs
Budget over $ 30 million mostly government funded Major Missions
Supercomputing Service Network Service National e-Science
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Supercomputing Resources
Cray T3E
NEC SX-5[1 st of 3rd]
NEC SX-6[2 nd of 3rd]
Introduction EDISON CFD
TeraCluster
Cray2S[1st]
SUN 4th] (2008. 6. ~ ) 300 TFlops
Conclusion 4
2GFlops 16GFlops 131GFlops 242GFlops 306GFlops 1,407GFlops 8,000GFlops 30,000GFlops
Cray C90[2nd]
HP GS320
HPC160/320
PC Cluster
128node
IBM p690[1 st of 3rd]
IBM p690+[2 nd of 3rd]
IBM p5 595+
[4th]
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Introduction EDISON CFD Conclusion 5
The First 10Gbps International Hybrid Networks in Korea
~20Gbps 10
40Gbps 5Gbps ~15Gbps 2.5Gbps
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Introduction EDISON CFD Conclusion 6 CPU Visualization Computer Total number of nodes # of CPU cores Total memory GPU Model # of GPUs ±150 800 3.5
+ + TB NVIDIA QuadroFX 5600 96 + Disk File System Capacity Lustre 300 + TB Throughput 10 ~ 12 + GB/sec sustained Network Interconnection network External network 20 Gbps 160 + Gbps
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Introduction EDISON CFD Conclusion 7
The Status of Korea’s R&D
• • The Korean government has sponsored national R&D activities since 1982 ▫ The budget for science and engineering technology in 2009 was about 10 billion USD, 13.8% increased then 2008 .
As the amount of investment in national R&D projects increases ▫ The science competitive power of Korea in the world continues to be enhanced and is in the group of 3 leading countries with the USA and Japan.
▫ In 2007, SCI paper rank was on the 12 th place, international patents rank was on the 4 th place in the world Comparison of budget of R&D with developed countries
Korea (’07) USA (’07) Japan (’07) Germany (’07) France (’07) UK (’06) Category
Budget of national R&D ($PPP in million) Ratio Relative percentage to GDP (%) 10,832 1.0
0.90
141,890 13.1
1.03
29,185 2.7
0.68
20,838 1.9
0.76
15,539 1.4
0.75
14,769 1.4
0.74
* Source: OECD, Main Science and Technology Indicators (OECD, 2008) * PPP(Purchasing Power Parity) is a currency exchange rate considering the difference in commodity prices in each country.
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Introduction EDISON CFD Conclusion 8
The Status of Higher Education in Science and Engineering
• • • • The competitiveness of the national science and technology ▫ Korea has been steadily improved and reached to the rank of three 2009 IMD(International Institute for Management Development) report, 2009 in The usefulness of the national education system ▫ Totally different situation that the rank was the 36 th in the world The reeducation cost for the newly graduates is so high ▫ The good research results have been hardly applied into the education . ▫ The higher education of science and engineering in Korea has been focused on the theory-based learning rather than experiment-based learning .
How to solve these problems?
▫ Experiment-based science and engineering education on the cyber infrastructure is one of the possible solutions.
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What is EDISON?
Introduction EDISON CFD Conclusion 9 • •
EDISON
▫ means ▫
ED ucation-research I ntegration through S imulation
National Project funded by
O n the N et
Korea Ministry of Education, Science, and Technology (‘11 ~ ’20, USD 30M)
Field Experiment Creativity Constant Research Imagination EDISON (19c) Wherever
Simulation
x+y=z
Contents Algorithm Paper Patent
EDISON (21c)
S/W Movie Super Computing High Performance Network School Home
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Goals
Introduction EDISON CFD 10 Conclusion • • Establish an infrastructure on the web where people can easily access and utilize engineering/science simulation tools for the educational and research purpose. Help (under)graduate students learn latest technology and research trends in the engineering/science area, and localize simulation tools in the related area.
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Introduction EDISON CFD Conclusion 11
EDISON Open Platform(1/2)
• • • • Science-AppStore ▫ managing simulation codes and analyzing program information Problem Solving Environment (PSE) ▫ users can carry out simulation for their researches Middleware ▫ providing various services to use various computing resources for simulation Infrastructure ▫ supercomputers, high performance networks, large storages, and so on
Science-AppStore Problem Solving Environment (PSE) Middleware Infrastructure
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Introduction EDISON CFD 12 Conclusion
EDISON Open Platform(2/2)
• • • Flexible service framework used in computational science Web portal framework(joomla based) Portal service with 5 major applications(CFD, chemistry, nano-physics, structural analysis, engineering design) CFD and Chemistry service
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Introduction EDISON CFD 13 Conclusion
Science Appstore Technology
• • Plug-in-play service(development/registration/simulation) of application tools Extensibility using multiple simulation SW combination technique SciAppstore SCenario EDISON service using SciAppstore
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Virtualization
Introduction EDISON CFD 14 Conclusion • Development of computing server integration and optimization technology using virtualization ▫ ▫ ▫ Construction of virtualization testbed (Web portal–GT4–PBS–VMs over Xen) Reduce of the idle time of computing system Implementation of resource pooling and on-demand virtual machine
Job arrival Job Queue Job Parser Scheduler Stripping Packing IO-aware etc.
Job Manager Job Monitor Job Launcher VM Manager Host Manager OpenPBS APIs Job Exec. / Status OpenNebula APIs VM allocation shared resource pool Host Status
Virtual cluster Resource Pooling On-demand VM/VC provisioning
xen xen xen xen
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Computing Service Infrastructure
Introduction EDISON CFD 15 Conclusion • Implementation of simulation SW service on KISTI supercomputer ▫ ▫ ▫ ▫ Integration of EDISON web portal(with multi user) and KISTI supercomputer Development of certification system with MyProxy. Inter-operability btw KISTI and NCSA supercomputer RESTful OpenAPI service Multi-user account management tool Multi-user simulation SW service
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Introduction EDISON CFD 16 Conclusion
Resource Mngt and Visualization
• • Development of computing resource mngt technology(user certification, workflow, parametric study and etc) Web based scientific visualization : Java Applet based viz., remote viz. and web based viz)
Resource and workflow mngt Java Applet based viz.
Remote viz.
WebGL based viz.
User certification
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Introduction
Easy System for Knowledge Transfer
EDISON CFD 17 Conclusion • Development of advanced content to understand basic theory(e.g. CFD, Chemistry and etc)
Theory + Content-specific interactive simulator
How do airplanes work? Why does a wing change shape on takeoff and landing?
Theory Content-specific interactive simulator
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Introduction EDISON CFD
A Pilot Project of EDISON CFD
• • • • • Internet based portal interface ▫ Convenient research environment “ Anytime and Anywhere” Accurate and efficient simulation service ▫ Development of an accurate CFD solver ▫ Generalized parallel computational algorithm on Grid environment Remote wind tunnel experiment service ▫ Aerodynamic force/moment measurement and PIV(particle Image Velocimetry) experiment Interactive research environment ▫ Comparison system of CFD and experiment data Collaboration system: Access Grid 18 Conclusion
Theory
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Experiment Simulation
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Introduction EDISON CFD 19 Conclusion
A Pilot Project of EDISON CFD
• Implementation of EDISON Platform on Higher Education
Higher Education for Fluid Dynamics using Simulation Fluid Dynamics Freshman ~ sophomore year.
Basic class Junior ~ senior year.
Applied eng.
Junior ~ senior year.
Enrichment pro.
Grad school.
Enrichment program.
Simulation, movie basic, applied eng. Using of the simulation tools Using of the advanced simulation tools
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Introduction EDISON CFD 20 Conclusion
A Pilot Project of EDISON CFD
General CFD SW
• Development of Simulations SW
Viscous flow Compressible flow Targeted simulation
Boundary problem
마하수 비압축성 유동
flow
압축성 유동 초음속 천음속
Circulation flow
층류 유동 단상 유동 아음속 상 구분 경계면 Laminar/turbulent flow Exploration 내부 유동 flow 3 차원 2 차원 / 축대칭 Incompressible flow 차원 포텐셜 유동 해석 1 차원 Shock tube 비정상 유동 Potential flow 천이 유동 포텐셜 유동 정상 유동 시간 점성 유동 비점성 유동 Inviscous flow
Vortex flow Rotation
레이놀즈수 Core CFD SW
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Introduction EDISON CFD 21 Conclusion
Computational Fluid Dynamics : EDISON CFD
• The contents of EDISON CFD are described as ▫ ▫ ▫ ▫ Various CFD analyzers in order to maximize the use thereof in teaching.
Enhancement of the ability of instructors for numerical analysis to be used in multidisciplinary fluid dynamics. Web-based visualization technology to enhance understanding in various fields of fluid dynamics.
Cyber education portal for the effective support of education.
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Introduction EDISON CFD 22 Conclusion
Computational Fluid Dynamics : EDISON CFD
• • • Web-portal based EDSION CFD ▫ has satisfied students’ requirements and induced their high interests rather than ordinary theory-based teaching.
It was used in practical experiments ▫ ▫ For 180 students in 7 universities in 2008 More than 450 students in 10 universities in 2010.
According to the questionnaire survey ▫ Approximately 77% out of participated students said they were satisfied .
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Introduction EDISON CFD 23 Conclusion
Computational Fluid Dynamics : EDISON CFD
• • • The advantage of EDISON CFD is ▫ That users can carry out their researches and education anywhere he/she can access the Internet .
if Students can ▫ Carry out the numerical analysis and analyze the important physical phenomena with numerical analysis tools of the EDSION CFD .
With this system ▫ Students have learned about the wind tunnel test by means of video conference between the wind tunnel and classrooms.
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Introduction EDISON CFD 24 Conclusion
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Introduction EDISON CFD 25 Conclusion Tohuku Univ. in Japan
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Introduction EDISON CFD 26 Conclusion Remote visualization using KISTI Viz. Cluster
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Introduction EDISON CFD 27 Conclusion
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Introduction EDISON CFD 28 Conclusion Bioinformatics simulation
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EDISON_CFD and MORE Introduction CFD Conclusion EDISON
+ EDISON_Chem
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EDISON_Physics EDISON_CSD EDISON_MDO
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Introduction EDISON CFD 30 Conclusion
Future Directions for the Higher Education
• The accomplishments from many R&D projects sponsored by the Korean government ▫ can be used in science and technology education , the education effect would be maximized without extra spending for purchasing expensive educational software .
• We have learned that ▫ performing the national scale development project on computer simulation-based cyber research and education environment which is basically the expansion of such EDISON having various simulation related softwares, contents and tools is now inevitable.
• Mobile Environment ▫ We also have to expand this system into mobile environment accommodating such smart phones for riding the new huge tide .
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Contact Information
• Dr. Kumwon Cho (PI) : [email protected]
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