자료유형 | 학위논문 |
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서명/저자사항 | Cooperative Power and Resource Management for Heterogeneous Mobile Architectures. |
개인저자 | Hsieh, Chenying. |
단체저자명 | University of California, Irvine. Computer Science - Ph.D.. |
발행사항 | [S.l.]: University of California, Irvine., 2019. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
형태사항 | 91 p. |
기본자료 저록 | Dissertations Abstracts International 81-04B. Dissertation Abstract International |
ISBN | 9781687985248 |
학위논문주기 | Thesis (Ph.D.)--University of California, Irvine, 2019. |
일반주기 |
Source: Dissertations Abstracts International, Volume: 81-04, Section: B.
Advisor: Dutt, Nikil. |
이용제한사항 | This item must not be sold to any third party vendors. |
요약 | Heterogeneous architectures have been ubiquitous in mobile system-on-chips (SoCs). The demand from different application domains such as games, computer vision and machine learning which requires massive parallelism of computation has driven the integration of more accelerators into mobile SoCs to provide satisfactory performance energy-efficiently. These on-chip computing resources typically have their individual runtime systems including: (1) a software governor: continuously monitors hardware utilization and makes decisions of trade-off between performance and power consumption. (2) software stack: allows application developers to program the hardware for general purpose computation and perform memory management and profiling. As computation of mobile applications may demand all sorts of combinations of computing resources, we identify two problems: (1) individual runtime can often lead to poor performance-power trade-off or inefficient utilization of computing resources. (2) existing approaches fail to schedule subprograms among different computing resources and further lose the opportunity to avoid resource contention to gain better performance. |
일반주제명 | Computer science. |
언어 | 영어 |
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