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dc.date.accessioned
2018-11-02T04:56:59Z
dc.date.available
2018-11-02T04:56:59Z
dc.date.issued
2016-12
dc.identifier.other
EE1001
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/11368
dc.identifier.uri
http://www.ndsl.kr/ndsl/search/detail/report/reportSearchResultDetail.do?cn=TRKO201700000452
dc.description
funder : 미래창조과학부
dc.description
funder : KA
dc.description.abstract
ㅇ 초고성능컴퓨팅 활용 계산과학공학 선도 연구
- 초고성능 컴퓨팅 활용 전 속도 영역 유동해석 기술 및 활용 연구
- 전 속도 영역 유동해석 SW 개발
- 유동해석 SW 정밀도 향상을 위한 핵심 기술 개발
ㅇ 거대 컴퓨팅 가시화 기술 개발
- 세계 수준의 거대 컴퓨팅 계산과학공학 가시화 기술 개발로 R&D 효율화 및 선도 기술 확보
- 기술의 실용화 및 기술이전으로 거대 컴퓨팅 가시화 기술 활용확대
ㅇ 데이터 기반 계산과학공학 플랫폼 구축 선도 연구
- 계산과학공학 플랫폼 성능 개선을 위해 기존 결과를 저장하여 활용할 수 있는 선도 기술 연구
- 사용자가 요청한 시뮬레이션을 보다 적은 비용으로 처리할 수 있는 데이터 주도형 시뮬레이션 서비스 기술 개발
- 기존 연구와는 다른 이전 시뮬레이션 결과를 추후 요청되는 시뮬레이션의 성능을 높이기 위해 재활용
- 존재하지 않는 시뮬레이션에 대한 통계적 기계학습 기법을 적용하여 결과를 예측
- 예측 및 검색 서비스를 통해 플랫폼 성능 향상 및 보급을 통한 커뮤니티 육성 지원
ㅇ 플랫폼 보급을 통한 계산과학공학 커뮤니티 활성화
- 국내외 관련 기술 워크숍 및 성과 교류 활동 수행
- 계산과학공학 플랫폼 여름학교 개최 및 인력 교육
- KSC, ISC, SC 연계의 커뮤니티 체계화 및 육성
dc.description.abstract
IV. Results of the study
o Studies on computational science using supercomputer
- A study on the flow analysis and application using high performance computing in all speed region
· CFD SW development for flow analysis of all speed regions
· Development of three dimensional laminar-turbulent transition model
· Development of numerical model for unsteady separation phenomenon analysis
· CFD SW verification using standard problems

o The massive data visualization technology development
- The performance improvement for massive data visualization
· The transfer time for visualization results has cut off 51% by improving network communication structure
· The real-time visualization performance for 3 TB data has reached to 7.35 seconds
· The massive data loading speed has been improved to 2 times faster than before
- The low-cost optimal visualization technology development for popularization
· The development of 3 core technology for performance improvement
· The visualization user response performance of 1 TB data has reached to 2.4~4.3 times faster than ParaView
· The amount of memory usage for unstructured grid volume rendering algorithm has been decreased to 49%
- The leading technology development for technological innovation
· The HD visualization streaming encoding/decoding performance has reached to more than 59 fps when more than 3 people uses the system with more than 2 kinds of devices
· The development of information-theory based auto-detection technique for turbulence collapse point

o Research on advanced technology for data-based computational science & engineering platform
- R&D on data-driven simulation service system technology
· Simulation data translator-loader: extracting the information of input and output variables and their respective values from simulation results and convert such information into a JSON document and loading the document into NoSQL databases
· Simulation databases: managing simulation data via MongoDB
· Simulation query interface: providing an interface of retrieving and returning results from simulation databases and reporting predicted results
· Simulation result predictor: considering a variety of statistical machine-learning models and providing predicted results with high accuracy and low error rate
▹ Reporting the predicted results of a specific method with the lowest error rate after applying ten different kinds of statistical machine learning methods
▹ Showing a performance gain of about 3000x speedup in simulation execution: an average of about fifty-minute execution time vs. an average of less than one-second prediction time
▹ Showing an average error rate of less than 3% on airfoil simulations: 0.9% to 7%
· Metadata databases: supporting multiple simulation programs
- Activation of computational science & engineering community through platform dissemination
· Application and distribution of computational science & engineering platform domestically and abroad
▹ Application of data-based computational science & engineering platform ▹ Grand prize awarded in Internet Eco-Awards Social Contribution Innovation
▹ Cooperated with Taiwan NCHC (National Super Computing Center), NCSA (National Super Computing Center) and Vietnam ICST (Computational Science Engineering Institute)
· Performing related technology workshops and performance exchange activities at home and abroad
▹ Proliferation of performance through participation in ISC, SC, KSC
▹ Hold workshop for spreading computational science engineering simulation platform
· Calculation Scientific Engineering SW development Human resource training and SW development
▹ Training of computational science & engineering software developers (47 persons) to achieve R&D efficiency through computational science
▹ Development of computational science & engineering software (total 47) and system installation service
dc.publisher
한국과학기술정보연구원
dc.publisher
Korea Institute of Science and Technology Information
dc.title
초고성능컴퓨팅 계산과학공학 연구 및 선도기술 개발
dc.title.alternative
Research on Computational Science Engineering and Development of Advanced Technology for High-Performance Computing
dc.identifier.doi
10.23000/TRKO201700000452
dc.identifier.localId
TRKO201700000452
dc.identifier.url
http://www.ndsl.kr/ndsl/commons/util/ndslOriginalView.do?dbt=TRKO&cn=TRKO201700000452
dc.subject.keyword
계산과학공학
dc.subject.keyword
슈퍼컴퓨팅
dc.subject.keyword
사이버 인프라
dc.subject.keyword
가시화 기술
dc.subject.keyword
플랫폼
dc.subject.keyword
Computational Science and Engineering
dc.subject.keyword
Supercomputing Technology
dc.subject.keyword
Cyber Infra.
dc.subject.keyword
Visualization Technology
dc.subject.keyword
Platform
dc.type.local
2단계보고서
dc.identifier.koi
KISTI2.1015/RPT.TRKO201700000452
Appears in Collections:
7. KISTI 연구성과 > 연구보고서 > 2016
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