MABF: H/W based page locality detection techniques with minimal performance degradationMABF: 성능 하락을 최소화 시키는 하드웨어 기반 페이지 지역성 탐색 기법

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Techinically, role of main memory is to decrease gab between speed of processor and one of disk. Even though size of memory gets larger, data processing at server computing environment for big data, which is one of the hottest keywords in the world nowdays, or memory size at mobile computing environment still make it important to manage memory resource effectively. One of ways for it is to use Page Locality Detection. MABF(Memory Accessed Based Filtering), which we propose, support several key features, which are to detect page locality per thread, not process and to give TLB information, which is to see if each page number is in TLB, as well as the number of each page access. MABF also achieves at least about 90% accuracy with minimal performance degradation.
Advisors
Huh, Jae-Hyukresearcher허재혁
Description
한국과학기술원 : 전산학과,
Publisher
한국과학기술원
Issue Date
2014
Identifier
569346/325007  / 020123743
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 전산학과, 2014.2, [ iv, 23 p. ]

Keywords

locality; page locality detection; 핫페이지; 지역성; hotpage; 페이지 지역성 탐색

URI
http://hdl.handle.net/10203/196918
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=569346&flag=dissertation
Appears in Collection
CS-Theses_Master(석사논문)
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