LDR | | 02054nmm uu200397 4500 |
001 | | 000000331917 |
005 | | 20240805165634 |
008 | | 181129s2018 |||||||||||||||||c||eng d |
020 | |
▼a 9780438024861 |
035 | |
▼a (MiAaPQ)AAI10826595 |
035 | |
▼a (MiAaPQ)ucla:16850 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
082 | 0 |
▼a 004 |
100 | 1 |
▼a Hao, Yuchen. |
245 | 10 |
▼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. |
502 | 1 |
▼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 |
710 | 20 |
▼a University of California, Los Angeles.
▼b Computer Science 0201. |
773 | 0 |
▼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 |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998907
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |