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Static and Dynamic Instruction Mapping for Spatial Architectures

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개인저자Liu, Feng.
단체저자명Princeton University. Electrical Engineering.
서명/저자사항Static and Dynamic Instruction Mapping for Spatial Architectures.
발행사항[S.l.] : Princeton University., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항120 p.
소장본 주기School code: 0181.
ISBN9780438047402
일반주기 Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: David August.
요약In response to the technology scaling trends, spatial architectures have emerged as a new style of processors for executing programs more efficiently. Unlike traditional Out-of-Order (OoO) processors, which time-share a small set of functional u
요약Currently, spatial architectures mainly use static methods to map instructions onto the arrays of functional units. The existing methods have several limitations: First, for programs with irregular memory accesses and control flows, they yield p
요약To address these issues and improve the applicability of spatial architectures, this dissertation proposes two techniques. The first, Coarse-Grained Pipelined Accelerators (CGPA), is a static compiling framework that exploits the hidden parallel
요약The second technique, Dynamic Spatial Architecture Mapping (DYNASPAM), reuses the speculation system in the OoO processors to dynamically produce high-performance scheduling and execution on a dedicated spatial fabric. The proposed technique is
일반주제명Computer engineering.
Computer science.
언어영어
기본자료 저록Dissertation Abstracts International79-10B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14997846

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