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020 ▼a 9780438024861
035 ▼a (MiAaPQ)AAI10826595
035 ▼a (MiAaPQ)ucla:16850
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 004
1001 ▼a Hao, Yuchen.
24510 ▼a Architectural Techniques to Enhance the Efficiency of Accelerator-Centric Architectures.
260 ▼a [S.l.] : ▼b University of California, Los Angeles., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 118 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 ▼a Adviser: Glenn D. Reinman.
5021 ▼a Thesis (Ph.D.)--University of California, Los Angeles, 2018.
520 ▼a 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
520 ▼a 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
520 ▼a 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
590 ▼a School code: 0031.
650 4 ▼a Computer science.
690 ▼a 0984
71020 ▼a University of California, Los Angeles. ▼b Computer Science 0201.
7730 ▼t Dissertation Abstracts International ▼g 79-10B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0031
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998907 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자