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Data Access Optimization in Accelerator-oriented Heterogeneous Architecture through Decoupling and Memory Hierarchy Specialization
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Data Access Optimization in Accelerator-oriented Heterogeneous Architecture through Decoupling and Memory Hierarchy Specialization. |
| 개인저자 | Ham, Tae Jun. |
| 단체저자명 | Princeton University. Electrical Engineering. |
| 발행사항 | [S.l.]: Princeton University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 161 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-10B(E). Dissertation Abstract International |
| ISBN | 9780438048522 |
| 학위논문주기 | Thesis (Ph.D.)--Princeton University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Advisers: Margaret R. Martonosi |
| 요약 | 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 |
| 요약 | 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 |
| 요약 | 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 |
| 일반주제명 | Computer engineering. Computer science. Electrical engineering. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
