자료유형 | E-Book |
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개인저자 | Hao, Yuchen. |
단체저자명 | University of California, Los Angeles. Computer Science 0201. |
서명/저자사항 | Architectural Techniques to Enhance the Efficiency of Accelerator-Centric Architectures. |
발행사항 | [S.l.] : University of California, Los Angeles., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 118 p. |
소장본 주기 | School code: 0031. |
ISBN | 9780438024861 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Glenn D. Reinman. |
요약 | In light of the failure of Dennard scaling and recent slowdown of Moore's Law, both industry and academia seek drastic measures to sustain the scalability of computing in order to meet the ever-growing demands. Customized hardware accelerator in |
요약 | This dissertation presents a series of architectural techniques to enhance the efficiency of accelerator-centric architectures. Staring with physical integration, we propose the Hybrid network with Predictive Reservation (HPR) to reduce data mov |
요약 | The techniques described in this dissertation demonstrate some initial steps towards efficient accelerator-centric architectures. We hope that this work, and other research in the area, will address many issues of integrating customized accelera |
일반주제명 | Computer science. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International79-10B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998907 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
---|---|---|---|---|---|---|---|---|
1 | WE00026244 | 004 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |