GOCI-II 자료처리를 위한 병렬 알고리즘의 기술적 분석

Title
GOCI-II 자료처리를 위한 병렬 알고리즘의 기술적 분석
Alternative Title
Technical Analysis of Parallel Algorithm in GOCI-II Data Processing
Author(s)
허재무; 양현; 한희정; 박영제
KIOST Author(s)
Heo, Jae Moo(허재무)Yang, Hyun(양현)Park, Young Je(박영제)
Publication Year
2016-04-21
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.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/24888
Bibliographic Citation
International Symposium on Remote Sensing 2016, pp.1 - 4, 2016
Publisher
Korean Society of Remote Sensing (KSRS)
Type
Conference
Language
English
Publisher
Korean Society of Remote Sensing (KSRS)
Related Researcher
Research Interests

Ocean Color Remote Sensing,Satellite Applications,Ocean color Algorithm,해양원격탐사,위성활용,해색 알고리즘

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