지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2013.11
- 수록면
- 229 - 232 (4page)
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초록· 키워드
오류제보하기
Golden Section Search (GSS) is applied to optimize the time threshold in a time-out power management policy. To reduce power consumption, modern system on chips selectively turns off some of its idling parts. If an idling block is kept awake for too long, it is wasting power; if it fails to predict a request, it will reduce the system performance due to wake-up time. The request of each part depends on external random events. This problem is usually addressed with a time-out policy, where the time-out value must be optimized in real time to cope with the system usage characteristics. Without the aid of prior knowledge, the GSS driven power policy consumed 15% more power than the absolute lower bound and 7% more power than the best fixed time threshold with a priori knowledge. The proposed method was evaluated with interrupt data of a 2G modem, captured from a real device in use.
목차
Abstract
Ⅰ. INTRODUCTION
Ⅱ. PROBLEM DESCRIPTION
Ⅲ. LOWER BOUND
Ⅳ. SOLUTIONS IN PREVIOUS WORKS
Ⅴ. GOLDEN SECTION SEARCH
Ⅵ. TRACKING ALGORITHM
Ⅶ. RESULTS
Ⅷ. CONCLUSION
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2016-569-001048923