| LDR | | 02180nmm uu200445 4500 |
| 001 | | 000000329721 |
| 005 | | 20240805155141 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438048522 |
| 035 | |
▼a (MiAaPQ)AAI10822487 |
| 035 | |
▼a (MiAaPQ)princeton:12558 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 621.3 |
| 100 | 1 |
▼a Ham, Tae Jun. |
| 245 | 10 |
▼a Data Access Optimization in Accelerator-oriented Heterogeneous Architecture through Decoupling and Memory Hierarchy Specialization. |
| 260 | |
▼a [S.l.] :
▼b Princeton University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 161 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
| 500 | |
▼a Advisers: Margaret R. Martonosi |
| 502 | 1 |
▼a Thesis (Ph.D.)--Princeton University, 2018. |
| 520 | |
▼a For the past fifty years, Moore's Law and Dennard Scaling have been playing important roles in both performance and energy efficiency of computer systems. Unfortunately, they are not likely to continue, and computers no longer benefit from techn |
| 520 | |
▼a To address this limitation, this thesis presents hardware and software techniques which can be utilized to design a system that can effectively accelerate data-intensive workloads. Specifically, this thesis addresses the two most important aspec |
| 520 | |
▼a In summary, this thesis investigates the memory wall challenge in the era of specialization and presents data access optimizations which enables data-intensive workloads to benefit from specialized, heterogeneous systems without being limited by |
| 590 | |
▼a School code: 0181. |
| 650 | 4 |
▼a Computer engineering. |
| 650 | 4 |
▼a Computer science. |
| 650 | 4 |
▼a Electrical engineering. |
| 690 | |
▼a 0464 |
| 690 | |
▼a 0984 |
| 690 | |
▼a 0544 |
| 710 | 20 |
▼a Princeton University.
▼b Electrical Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0181 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998478
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |