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공공누리This item is licensed Korea Open Government License

Title
초고성능컴퓨팅 계산과학공학 연구 및 선도기술 개발
Alternative Title
Research on Computational Science Engineering and Development of Advanced Technology for High-Performance Computing
Publisher
한국과학기술정보연구원
Korea Institute of Science and Technology Information
Publication Year
2016-12
Description
funder : 미래창조과학부
funder : KA
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

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
Keyword
계산과학공학; 슈퍼컴퓨팅; 사이버 인프라; 가시화 기술; 플랫폼; Computational Science and Engineering; Supercomputing Technology; Cyber Infra.; Visualization Technology; Platform
DOI
10.23000/TRKO201700000452
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Appears in Collections:
7. KISTI 연구성과 > 연구보고서 > 2016
URI
https://repository.kisti.re.kr/handle/10580/11368
http://www.ndsl.kr/ndsl/search/detail/report/reportSearchResultDetail.do?cn=TRKO201700000452
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 http://www.ndsl.kr/ndsl/commons/util/ndslOriginalView.do?dbt=TRKO&cn=TRKO201700000452
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