Energy efficient custom instruction selection algorithm for DVS-enabled multiprocessor systemDVS가 적용되는 멀티프로세서에서의 에너지 효율적인 커스텀 인스트럭션 선택 알고리즘

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 381
  • Download : 0
DC FieldValueLanguage
dc.contributor.advisorKyung, Chong-Min-
dc.contributor.advisor경종민-
dc.contributor.authorCheon, Hee-jin-
dc.contributor.author천희진-
dc.date.accessioned2011-12-14T02:07:09Z-
dc.date.available2011-12-14T02:07:09Z-
dc.date.issued2008-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=302003&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/38662-
dc.description학위논문(석사) - 한국과학기술원 : 전기및전자공학전공, 2008. 8., [ v, 30 p. ]-
dc.description.abstractRecently, the number of embedded systems are rapidly increasing, and many embedded software applications become more and more complex. Because many devices are portable and battery-powered, the energy efficiency of embedded processor, as well as their performance, is a very important issue of processor design. Currently, multiprocessor architecture and DVS (Dynamic Voltage Scaling) technique are the most popular methods for performance and energy efficiency in embedded systems. It is already well known that, for embedded systems, customizing the instruction set of processor to the specific application can increase performance of the system. But most previous researches have missed that the instruction set customization can significantly reduce the energy consumption. In this thesis, we suggest a custom instruction selection algorithm to minimize the energy consumption of embedded system. Our target environment is the embedded multiprocessor system where the DVS and ABB (Adaptive Body Biasing) technique is applied. Simulation results show that the average energy reduction of our algorithm is 43.5%, while the average energy reduction of the selection algorithm that considers only execution time of application is at most 13.4%.eng
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectcustom instruction-
dc.subjectconfigurable processor-
dc.subjectDVS-
dc.subjectASIC-
dc.subject커스텀 인스트럭션-
dc.subject구성 가능한 프로세서-
dc.subjectcustom instruction-
dc.subjectconfigurable processor-
dc.subjectDVS-
dc.subjectASIC-
dc.subject커스텀 인스트럭션-
dc.subject구성 가능한 프로세서-
dc.titleEnergy efficient custom instruction selection algorithm for DVS-enabled multiprocessor system-
dc.title.alternativeDVS가 적용되는 멀티프로세서에서의 에너지 효율적인 커스텀 인스트럭션 선택 알고리즘-
dc.typeThesis(Master)-
dc.identifier.CNRN302003/325007 -
dc.description.department한국과학기술원 : 전기및전자공학전공, -
dc.identifier.uid020063568-
dc.contributor.localauthorKyung, Chong-Min-
dc.contributor.localauthor경종민-
Appears in Collection
EE-Theses_Master(석사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0