Post on 14-Feb-2016
description
EDucation-research Integration through Simulation On the Net(EDISON)
Kum Won Cho
Dept. of Cyber Environment Development, Supercomputing Center,KISTI (Korea Institute of Science and Technology Information)
EDISON
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Contents• Introduction
▫ The Status of Korea’s R&D▫ The Status of Higher Education in Science and Engi-
neering• 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
EDISON
3Introduction EDISON CFD ConclusionEDISON
KISTI Supercomputing Center is responsible for national cyberinfrastructure of Korea
Four departments Key Statistics Supercomputing Service Network Service National e-Science
Major Missions Resource User Support Cyber Environment Technology
Over 150 staffs Budget over $ 30 million mostly government funded
Dept. of Computing & Networking Resources
Dept. of Cyber Environment Development
Dept. of Application & Support
Dept. of Infrastructure Technology Development
KISTI Supercomputing Center(National Supercomputing Center)
Introduction to KISTI
4Introduction EDISON CFD ConclusionEDISON
NEC SX-6[2nd of 3rd]
8,000GFlops
IBM p5 595+[4th]
(2007. 10. ~ )
30 TFlops
SUN 4th]
(2008. 6. ~ )300 TFlops
30,000GFlops2GFlops
1988131GFlops16GFlops
1993242GFlops
2000306GFlops
20011,407GFlops
2002 2003 2008
HP GS320HPC160/320
PC Cluster128node
Cray2S[1st]
(1993 ~ 2001)
16GFlops
Cray C90[2nd]
(1997 ~ 2003)
115GFlops
Cray T3E
1997
(2000 ~ 2006)
111GFlops (2001 ~ 2006)435.2GFlops
(2001. 5. ~ 2008. 10)
80GFlops
IBM p690[1st of 3rd]
(2002. 1. ~ 2008. 10)
665.6GFlops
(2003. 2. ~ 2008. 10)160GFlops
( 2003.12 ~ 2008.10)
2,850GFlops
TeraCluster
IBM p690+[2nd of 3rd]
(2003. 7. ~ 2008. 10)3,699.2GFlops
NEC SX-5[1st of 3rd]
Supercomputing Resources
5Introduction EDISON CFD ConclusionEDISON
The First 10Gbps International Hybrid Networks in Korea
1040Gbps5Gbps
~20Gbps
2.5Gbps
~15Gbps
6Introduction EDISON CFD ConclusionEDISON
Visualization ComputerTotal number of nodes ±150
CPU # of CPU cores 800+
Total memory 3.5+ TB
GPUModel NVIDIA QuadroFX 5600
# of GPUs 96+
Disk
File System LustreCapacity 300+ TB
Throughput 10 ~ 12+ GB/sec sus-tained
NetworkInterconnection
network 20 Gbps
External network 160+ Gbps
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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 con-
tinues 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 12th place, international patents rank was on the 4th place in the
world
Introduction EDISON CFD Conclusion
Category Korea (’07) USA (’07) Japan (’07) Germany
(’07)France (’07) UK (’06)
Budget of national R&D
($PPP in million)10,832 141,890 29,185 20,838 15,539 14,769
Ratio 1.0 13.1 2.7 1.9 1.4 1.4Relative percentage
to GDP (%) 0.90 1.03 0.68 0.76 0.75 0.74
Comparison of budget of R&D with developed countries
* 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.
EDISON
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The Status of Higher Education in Science and Engi-neering
• The competitiveness of the national science and technol-ogy▫ Korea has been steadily improved and reached to the rank
of three in 2009 IMD(International Institute for Management Development) report, 2009
• The usefulness of the national education system▫ Totally different situation that the rank was the 36th 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.
Introduction EDISON CFD ConclusionEDISON
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What is EDISON?• EDISON means
▫ EDucation-research Integration through Simulation On the Net• National Project funded by
▫ Korea Ministry of Education, Science, and Technology (‘11 ~ ’20, USD 30M)
Introduction EDISON CFD Conclusion
EDI-SON(19c)
Field Ex-periment
Constant Research
WhereverImagina-tion
Creativity
Virtual Ex-periment
Constant Research
Wherever
Computing Power
Imagination
Creativity
x+y=z
S/W
AlgorithmContents
Movie
Paper
Patent
EDISON(21c)
School Home
Simulation
Super ComputingHigh PerformanceNetwork
EDISON
10Introduction EDISON CFD Conclusion
Goals• 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.
EDISON
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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
Introduction EDISON CFD Conclusion
Middleware
Infrastructure
Science-AppStore Problem Solving Environment (PSE)
EDISON
12Introduction EDISON CFD Conclusion
CFD and Chemistry service
OpenEasyConvenient
Effective
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)
EDISON
13Introduction EDISON CFD Conclusion
SciAppstore SCenario EDISON service using SciAppstore
EDISONScience Appstore Technology• Plug-in-play service(development/registration/simulation) of
application tools• Extensibility using multiple simulation SW combination tech-
nique
14Introduction EDISON CFD Conclusion
Virtualization• 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 ma-
chine
Resource PoolingOn-demand VM/VC provisioning
xen xen xen xen
shared resource pool
HostManager
Job arrival
JobParser
Job Manager
VMManagerJob
LauncherJob
Monitor
OpenNebula APIsOpenPBS APIs
Scheduler
Stripping Packing IO-aware etc.
Host Status
VM allocation
Job Exec. / Status
Job Queue
Virtual cluster
EDISON
15Introduction EDISON CFD Conclusion
• Implementation of simulation SW service on KISTI supercom-puter▫ Integration of EDISON web portal(with multi user) and KISTI super-
computer▫ 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
Computing Service InfrastructureEDISON
16Introduction EDISON CFD Conclusion
User certification
Resource and workflow mngt Java Applet
based viz.
Remote viz. WebGL based viz.
• Development of computing resource mngt technology(user certification, workflow, parametric study and etc)
• Web based scientific visualization: Java Applet based viz., re-mote viz. and web based viz)
Resource Mngt and VisualizationEDISON
17Introduction EDISON CFD Conclusion
• Development of advanced content to understand basic the-ory(e.g. CFD, Chemistry and etc) Theory + Content-specific interactive simulator
Easy System for Knowledge Transfer
Content-specific interactive simulator
How do airplanes work? Why does a wing change shape on takeoff and landing?
Theory
EDISON
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A Pilot Project of EDISON CFDIntroduction EDISON CFD Conclusion
Theory Experiment Simulation
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• 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 Ve-
locimetry) experiment• Interactive research environment
▫ Comparison system of CFD and experiment data• Collaboration system: Access Grid
EDISON
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A Pilot Project of EDISON CFDIntroduction EDISON CFD Conclusion
• Implementation of EDISON Platform on Higher Edu-cation
Freshman ~ sophomore
year.Basic classJunior ~ se-nior year.
Applied eng.Junior ~ se-nior year.
Enrichment pro.
Grad school.Enrichment program.
Higher Education for Fluid Dynamics using Simulation
Simula-tion,movi
ebasic,
applied eng. Us-ing of the simula-
tion tools
Using of the ad-vanced simula-
tion tools
FluidDynam-
ics
EDISON
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A Pilot Project of EDISON CFDIntroduction EDISON CFD Conclusion
• Development of Simulations SW
마하수
압축성 유동
비압축성 유동
아음속
천음속
초음속
점성 유동
Stokes유동
층류 유동천이 유동
레이놀즈수
난류 유동
비점성 유동
포텐셜유동
정상 유동
비정상 유동
1 차원
2 차원 /축대칭
3 차원 차원
내부 유동
외부 유동
기계 / 조선 /토목 / 항공분야
유체공학
다상 유동단상 유동
시간
경계면상 구분
EDISONCFD
Compressible flow
Inviscous flow
Viscous flow
Incompressible flow
포텐셜 유동 해석
General CFD SW
Shock tubeIncompressibleflow
Potentialflow
Laminar/turbulent flow Exploration
flow
Core CFD SW
Targeted simulation
Rotationflow
Circulationflow
Turbulent flow
Boundary problem
Vortex flow
EDISON
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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 analy-sis 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.
Introduction EDISON CFD ConclusionEDISON
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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.
Introduction EDISON CFD ConclusionEDISON
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Computational Fluid Dynamics : EDISON CFD• The advantage of EDISON CFD is
▫ That users can carry out their researches and education any-where if he/she can access the Internet.
• Students can▫ Carry out the numerical analysis and analyze the important
physical phenomena with numerical analysis tools of the ED-SION CFD.
• With this system▫ Students have learned about the wind tunnel test by means of
video conference between the wind tunnel and classrooms.
Introduction EDISON CFD ConclusionEDISON
24Introduction EDISON CFD ConclusionEDISON
25Introduction EDISON CFD ConclusionEDISON
Tohuku Univ. in Japan
26Introduction EDISON CFD ConclusionEDISON
Remote visualization using KISTI Viz. Cluster
27Introduction EDISON CFD ConclusionEDISON
28Introduction EDISON CFD ConclusionEDISON
Bioinformatics simulation
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EDISON_CFD and MORE
EDISON_ChemEDISON_PhysicsEDISON_CSDEDISON_MDO
+EDISON
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Future Directions for the Higher Education• The accomplishments from many R&D projects spon-
sored 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 soft-ware.
• We have learned that ▫ performing the national scale development project on
computer simulation-based cyber research and educa-tion environment which is basically the expansion of such EDISON having various simulation related soft-wares, contents and tools is now inevitable.
• Mobile Environment▫ We also have to expand this system into mobile envi-
ronment accommodating such smart phones for riding the new huge tide.
Introduction EDISON CFD ConclusionEDISON
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Contact Information
• Dr. Kumwon Cho (PI) : ckw@kisti.re.kr
EDISON