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Performance Analysis of Fermi GPU Architecture
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lim, Ji Hyuk | - |
| dc.contributor.author | Kim, Dong Kyue | - |
| dc.date.accessioned | 2022-07-16T19:48:16Z | - |
| dc.date.available | 2022-07-16T19:48:16Z | - |
| dc.date.created | 2021-05-13 | - |
| dc.date.issued | 2011-07 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/167962 | - |
| dc.description.abstract | NVIDIA introduced a GPU (Graphic Processing Unit) architecture called G80 for GPGPU (General Purpose computing on GPU) in 2006; however, performance is not good because of delay time for accessing off-chip memory. To complement this defect, Fermi architecture was introduced in 2009. In this paper, we analyze the difference between G80 and Fermi architecture, and propose the implementation method. | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | MITA2011 | - |
| dc.title | Performance Analysis of Fermi GPU Architecture | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Kim, Dong Kyue | - |
| dc.identifier.bibliographicCitation | Conference Proceedings MITA 2011, v.MITA2011 Proceeding, no. , pp.146 - 147 | - |
| dc.relation.isPartOf | Conference Proceedings MITA 2011 | - |
| dc.citation.title | Conference Proceedings MITA 2011 | - |
| dc.citation.volume | MITA2011 Proceeding | - |
| dc.citation.startPage | 146 | - |
| dc.citation.endPage | 147 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Proceeding | - |
| dc.description.journalClass | 2 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | other | - |
| dc.subject.keywordAuthor | GPGPU | - |
| dc.subject.keywordAuthor | Fermi Architecture | - |
| dc.subject.keywordAuthor | Grobal memory | - |
| dc.subject.keywordAuthor | Binary search | - |
| dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01706004 | - |
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- Kim, Dong Kyue
- COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)