| LDR | | 00000nmm u2200205 4500 |
| 001 | | 000000332687 |
| 005 | | 20241204153313 |
| 008 | | 181129s2018 ||| | | | eng d |
| 020 | |
▼a 9780438295599 |
| 035 | |
▼a (MiAaPQ)AAI10811586 |
| 035 | |
▼a (MiAaPQ)coe.neu:11025 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 049 | 1 |
▼f DP |
| 082 | 0 |
▼a 621.3 |
| 100 | 1 |
▼a Farazmand, Navid. |
| 245 | 10 |
▼a Dynamic Voltage and Frequency Scaling for 3D Graphics Applications on the State-of-the-art Mobile GPUs. |
| 260 | |
▼a [S.l.] :
▼b Northeastern University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 165 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
| 500 | |
▼a Adviser: David R. Kaeli. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Northeastern University, 2018. |
| 520 | |
▼a Today, there are more mobile computing devices running on batteries than computers connected to a power source, and this trend is bound to continue. Power consumption has always been one of the design considerations in digital electronic devices |
| 520 | |
▼a Dynamic Voltage and Frequency Scaling (DVFS) is a runtime power management technique commonly utilized to reduce power consumption, while achieving a predetermined level of performance. There have been numerous DVFS studies for general-purpose c |
| 520 | |
▼a Mobile graphics workloads are an integrated part of the user experience on smartphones. Typical workloads range from User Interfaces (UIs), to mapping applications to browsers and mobile games. Thus, optimizing the energy consumption of mobile g |
| 520 | |
▼a The goal of this thesis is to propose novel DVFS solutions for state-of-the-art mobile GPUs that improve energy consumption without negatively impacting performance guarantees. To achieve this goal, in this thesis we first introduce a fine-grain |
| 520 | |
▼a Leveraging our framework we also perform design space exploration on mobile graphics use cases. We explore the impact of various configuration parameters on the effectiveness of DVFS solutions and identify level switching latency and safety marg |
| 520 | |
▼a We propose two DVFS solutions which address limitations we identified during our workload analysis and design space exploration. First, we propose QoS-aware DVFS. By improving the level switching latency in response to workload changes, this sol |
| 520 | |
▼a Next we propose energy-aware DVFS. Energy-aware DVFS uses detailed performance and energy consumption models to address the limitations of the QoS-aware DVFS, mainly the lack of explicit support for DDR frequency scaling. Using statistical model |
| 590 | |
▼a School code: 0160. |
| 650 | 4 |
▼a Computer engineering. |
| 690 | |
▼a 0464 |
| 710 | 20 |
▼a Northeastern University.
▼b Electrical and Computer Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0160 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997984
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자
▼b 관리자 |