GOCI-II 자료처리를 위한 병렬 알고리즘의 기술적 분석

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dc.contributor.author 허재무 -
dc.contributor.author 양현 -
dc.contributor.author 한희정 -
dc.contributor.author 박영제 -
dc.date.accessioned 2020-07-15T21:53:39Z -
dc.date.available 2020-07-15T21:53:39Z -
dc.date.created 2020-02-11 -
dc.date.issued 2016-04-21 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/24888 -
dc.description.abstract Through the application of parallel programming languages such as Open Specification of Multi-Processing (OpenMP), Open Computing Language (OpenCL) and Message Passing Interface (MPI) to Geostationary Ocean Color Imager (GOCI) ocean color algorithms, we found the most appropriate parallel processing methodology for successful GOCI-II development. We tested algorithms of Total Suspended Solid concentration (TSS), Chlorophyll concentration (chl) and absorption coefficient of Colored Dissolved Organic Matter (CDOM) using aforementioned parallelism techniques. In experimental results from Chundoong cluster at Seoul National University, speedup was 2.56, 1.40, 1.73 in TSS algorithm, 3.92, 2.56, 2.67 in chl algorithm, and 4.45, 2.62, 2.96 in CDOM algorithm, respectively. Similarly, efficiency was 1.28, 0.70, 0.17 in TSS algorithm, 1. 96, 1.28, 0.17 in chl algorithm and 2.23, 1.31, 0.16 in CDOM algorithm, respectively. Also, we could evaluate the degree of parallelism level of each algorithm using Amdahl’s law and Karp-Flatt metric. Consequently, experimental results came close to the ideal speedup and it showed the higher efficiency in the OpenMP.lgorithms, we found the most appropriate parallel processing methodology for successful GOCI-II development. We tested algorithms of Total Suspended Solid concentration (TSS), Chlorophyll concentration (chl) and absorption coefficient of Colored Dissolved Organic Matter (CDOM) using aforementioned parallelism techniques. In experimental results from Chundoong cluster at Seoul National University, speedup was 2.56, 1.40, 1.73 in TSS algorithm, 3.92, 2.56, 2.67 in chl algorithm, and 4.45, 2.62, 2.96 in CDOM algorithm, respectively. Similarly, efficiency was 1.28, 0.70, 0.17 in TSS algorithm, 1. 96, 1.28, 0.17 in chl algorithm and 2.23, 1.31, 0.16 in CDOM algorithm, respectively. Also, we could evaluate the degree of parallelism level of each algorithm using Amdahl’s law and Karp-Flatt metric. Consequently, experimental results came close to the ideal speedup and it showed the higher efficiency in the OpenMP. -
dc.description.uri 1 -
dc.language English -
dc.publisher Korean Society of Remote Sensing (KSRS) -
dc.relation.isPartOf International Symposium on Remote Sensing 2016 -
dc.title GOCI-II 자료처리를 위한 병렬 알고리즘의 기술적 분석 -
dc.title.alternative Technical Analysis of Parallel Algorithm in GOCI-II Data Processing -
dc.type Conference -
dc.citation.conferencePlace KO -
dc.citation.endPage 4 -
dc.citation.startPage 1 -
dc.citation.title International Symposium on Remote Sensing 2016 -
dc.identifier.bibliographicCitation International Symposium on Remote Sensing 2016, pp.1 - 4 -
dc.description.journalClass 1 -
Appears in Collections:
Ocean Research, Operations & Support Department > Korea Ocean Satellite Center > 2. Conference Papers
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