Ambient variation-tolerant and inter components aware thermal management for mobile system on chips

Paterna, Francesco; Zanotelli, Joe; Rosing, Tajana

doi:10.7873/date2014.223

Cited by 11 publications

(18 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To describe the thermal interaction between the hardware components of the mobile devices, Ferroni et al [14] implemented a thermal prediction tool using a linear relationship between temperature difference and physical distance among hardware components. Paterna et al [15] proposed an exponential thermal prediction method considering the ambient condition and thermal coupling between mobile AP and the WiFi chipset. These more practical thermal prediction methods are less accurate due to their oversimplified thermal models.…”

Section: Thermal Prediction Methods For Mobile Devicesmentioning

confidence: 99%

“…To protect microprocessors from thermal violations, there have been many studies on thermal prediction-based DTM (Dynamic Thermal Management) [6][7][8][9][10][11][12][13][14][15][16] to predict the temperature and then to lower the resource usage if the predicted temperature is at risk of exceeding the thermal threshold. Since those studies consider rapid temperature increases as abnormal and rare cases, they use simple solutions despite the risk of thermal violations.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Planning of Dynamic Thermal Management for NANS (N-App N-Screen) Services

et al. 2018

View full text Add to dashboard Cite

Existing multi-screening technologies have been limited to mirroring the current screen of the smartphone onto all the connected external display devices. In contrast, NANS (N-App N-Screen) technology is able to display different applications (N-App) on different multiple display devices (N-Screen) using only a smartphone. For such NANS services, this paper empirically shows that the thermal violation constraint is more critical than the battery life constraint. For preventing the thermal violation, the existing DTM (Dynamic Thermal Management) techniques cannot be used since they consider thermal violations as abnormal, and hence prevent them by severely throttling CPU frequencies resulting in serious QoS degradation. In NANS service scenarios it is normal to operate in high temperature ranges to continue services with acceptable QoS. Targeting such scenarios, we first propose a novel thermal prediction method specially designed for NANS services. Based on the novel thermal prediction method, we then propose a novel DTM technique called, “thermal planning” to provide sustainable NANS services with sufficiently high QoS without thermal violations.

show abstract

Section: Thermal Prediction Methods For Mobile Devicesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Planning of Dynamic Thermal Management for NANS (N-App N-Screen) Services

et al. 2018

View full text Add to dashboard Cite

show abstract

“…However, few publications target thermal management for mobile devices. In Reference [11] the authors presents a thermal model of a mobile system and use it to develop a thermal management strategy. The thermal model presented in [23] focuses on the thermal interaction with the battery subsystem.…”

Section: Related Workmentioning

confidence: 99%

“…Thermal management is a very actively researched area, spanning from high performance multi-clusters to mobile devices [1], [11], [12]. Thermal management can be broadly classified into reactive, if decisions are based on current or past temperature, or proactive, if decisions are based on predicted future temperature.…”

Section: Introductionmentioning

confidence: 99%

User-centric Joint Power and Thermal Management for Smartphones

Mercati¹,

Rosing²,

Hanumaiah³

et al. 2014

Proceedings of the 6th International Conference on Mobile Computing, Applications and Services

View full text Add to dashboard Cite

Excessive power consumption and high temperatures are some of the key factors limiting battery charge life and performance of current mobile devices or smartphones. Existing power management solutions do not account for user-experience, which can impact user satisfaction. In this paper we propose a joint power and thermal management solution, which takes a proactive approach in reducing energy consumption while providing expected user-experience. The proposed technique modulates the operating conditions based on users application preferences and exploits the "change blindness" effect to reduce display power consumption. Another important aspect of our implementation is that it does not require any restructuring of the underlying operating system. A novel thermal model of the entire smartphone was built with the purpose of monitoring and controlling the operating conditions to keep the device temperatures within safe operating ranges. Our ready-to-use management technique has been implemented on Google Nexus 5 and has been demonstrated to achieve a 46% application-specific savings on power consumption and up to 35% savings in power consumption at the device level. The mean temperature estimation error is 1.17 • C.

show abstract

“…Different devices have different ergonomic limits and usage times, from seconds for phones to minutes for tablets. These thermally aware systems contain several sensors for predictive temperature control, e.g., by throttling performance [57]. Internal heat conduction and capacitance is optimized using TIM layers, but the layout remains a challenge for architectures with memory on top of a CPU, resulting in a restricted thermal pathway to the outside.…”

Section: B) Challenges Related To System Designmentioning

confidence: 99%

Electronics Thermal Management in Information and Communications Technologies: Challenges and Future Directions

Garimella

Persoons

Weibel

et al. 2017

IEEE Trans. Compon., Packag. Manufact. Technol.

163

View full text Add to dashboard Cite

Ambient variation-tolerant and inter components aware thermal management for mobile system on chips

Cited by 11 publications

References 0 publications

Optimal Planning of Dynamic Thermal Management for NANS (N-App N-Screen) Services

Optimal Planning of Dynamic Thermal Management for NANS (N-App N-Screen) Services

User-centric Joint Power and Thermal Management for Smartphones

Electronics Thermal Management in Information and Communications Technologies: Challenges and Future Directions

Contact Info

Product

Resources

About