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- Lee, Kyuho Jason
- Intelligent Systems Lab.
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| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | JA | - |
| dc.citation.conferencePlace | Yokohama | - |
| dc.citation.title | IEEE Symposium on Low-Power and High-Speed Chips | - |
| dc.contributor.author | Park, Junyoung | - |
| dc.contributor.author | Hong, Injoon | - |
| dc.contributor.author | Kim, Gyeonghoon | - |
| dc.contributor.author | Kim, Youchang | - |
| dc.contributor.author | Lee, Kyuho | - |
| dc.contributor.author | Park, Seongwook | - |
| dc.contributor.author | Bong, Kyeongryeol | - |
| dc.contributor.author | Yoo, Hoi-Jun | - |
| dc.date.accessioned | 2023-12-20T01:07:32Z | - |
| dc.date.available | 2023-12-20T01:07:32Z | - |
| dc.date.created | 2018-08-07 | - |
| dc.date.issued | 2013-04-17 | - |
| dc.description.abstract | Multiple granularity parallel core architecture is proposed to accelerate object recognition with low area and energy consumption. By adopting task-level optimized cores with different parallelism and complexity, the proposed processor achieves real-time object recognition with 271.4 GOPS peak performance. In addition, content-aware fine-grained task scheduling is proposed to enable low power real-time object recognition on 30fps 720p HD video streams. As a result, the object recognition processor achieves 9.4nJ/pixel energy efficiency and 25.8 GOPS/W·mm 2 power-area efficiency in O.13um CMOS technology. | - |
| dc.identifier.bibliographicCitation | IEEE Symposium on Low-Power and High-Speed Chips | - |
| dc.identifier.doi | 10.1109/CoolChips.2013.6547917 | - |
| dc.identifier.scopusid | 2-s2.0-84881342755 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/37402 | - |
| dc.identifier.url | https://ieeexplore.ieee.org/document/6547917/ | - |
| dc.language | 영어 | - |
| dc.publisher | 16th IEEE Symposium on Low-Power and High-Speed Chips, COOL Chips 2013 | - |
| dc.title | A multi-granularity parallelism object recognition processor with content-aware fine-grained task scheduling | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2013-04-17 | - |
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