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Near Data Processing for Efficient and Trusted Systems

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자료유형E-Book
개인저자Aga, Shaizeen.
단체저자명University of Michigan. Computer Science & Engineering.
서명/저자사항Near Data Processing for Efficient and Trusted Systems.
발행사항[S.l.] : University of Michigan., 2017
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2017
형태사항174 p.
소장본 주기School code: 0127.
ISBN9780438125766
일반주기 Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Satish Narayanasamy.
요약We live in a world which constantly produces data at a rate which only increases with time. Conventional processor architectures fail to process this abundant data in an efficient manner as they expend significant energy in instruction processin
요약An exciting technique in our repertoire to deal with these challenges is near-data processing. Near-data processing (NDP) is a data-centric paradigm which moves computation to where data resides. This dissertation exploits NDP to both process th
요약To this end, we first propose Compute Caches, a novel NDP technique. Simple augmentations to underlying SRAM design enable caches to perform commonly used operations. In-place computation in caches not only avoids excessive data movement over me
요약Second, this dissertation identifies security advantages of NDP. While memory bus side channel has received much attention, a low-overhead hardware design which defends against it remains elusive. We observe that smart memory, memory with comput
요약This dissertation also addresses a related vulnerability of page fault side channel in which the Operating System (OS) induces page faults to learn application's address trace and deduces application secrets from it. To tackle it, we propose San
일반주제명Computer science.
언어영어
기본자료 저록Dissertation Abstracts International79-12B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T15000478

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