Accelerated Code Generator for Processing Ocean Color Remote Sensing Data on GPU

DC Field Value Language
dc.contributor.author 허재무 -
dc.contributor.author 조강원 -
dc.contributor.author 한희정 -
dc.contributor.author 양현 -
dc.date.accessioned 2020-07-15T11:33:28Z -
dc.date.available 2020-07-15T11:33:28Z -
dc.date.created 2020-02-11 -
dc.date.issued 2018-07-27 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/23179 -
dc.description.abstract As the satellite data gradually increases, the processing time of the algorithm for remote sensing also increases. It is now essential to make efforts to improve the processing performance in various accelerators such as Graphics Processing Unit (GPU). However, it is very difficult to use programming models that make programs to run on accelerators. Especially for scientists, easy programming and performance are often more important than providing many optimization functionsand directives. To meet these requirements, we developed the accelerated code generator based on Open Computing Language (OpenCL) for processing ocean color remote sensing data. We easily applied our generator to atmospheric correction program for GOCI data as a case study and the program’s performance achieved about 29.2x that is as good as the hand-written OpenCL program. We look forward to many scientists that want to find a tool mentioned above taking advantage of our generator. -
dc.description.uri 1 -
dc.language English -
dc.publisher GRSS/IEEE -
dc.relation.isPartOf 2018 IGARSS -
dc.title Accelerated Code Generator for Processing Ocean Color Remote Sensing Data on GPU -
dc.type Conference -
dc.citation.endPage 1 -
dc.citation.startPage 1 -
dc.citation.title 2018 IGARSS -
dc.contributor.alternativeName 허재무 -
dc.contributor.alternativeName 한희정 -
dc.contributor.alternativeName 양현 -
dc.identifier.bibliographicCitation 2018 IGARSS, pp.1 -
dc.description.journalClass 1 -
Appears in Collections:
Marine Digital Resources Department > Korea Ocean Satellite Center > 2. Conference Papers
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