Dynamic voltage assignment for thermal-constrained task scheduler on 3D multi-core processors

Liao, Chien-Hui; Lin, Yuze; Wen, Charles H.-P.

doi:10.1109/vlsi-dat.2015.7114495

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…Our investigations revealed that DVA significantly impacts temperature increase in 3D-MCPs. For example, our previous work [24] demonstrated that RDVA can still slow the temperature increase in 3D-MCPs even though it reassigns different voltages to the cores randomly. However, the performance of RDVA in terms of the temperature reduction and throughput improvement may be unpredictable due to the randomisation steps used in the algorithm.…”

Section: Random Dvamentioning

confidence: 99%

“…A preliminary study on the performance of the DVA strategies on the reduction of temperature increase was demonstrated in our previous work [24]. For implementing and evaluating the idea of the DVA that frequently reassigns different voltage levels to cores, a simplified strategy is proposed to randomly reassign voltage levels in each DVA interval.…”

Section: Random Dvamentioning

confidence: 99%

“…For implementing and evaluating the idea of the DVA that frequently reassigns different voltage levels to cores, a simplified strategy is proposed to randomly reassign voltage levels in each DVA interval. The first proposed DVA strategy is RDVA [24]. Fig.…”

Section: Random Dvamentioning

confidence: 99%

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Online task scheduler in 3D‐MCPs with TADVA

Liao

Wen²

2018

IET Computers & Digital Techniques

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Hotspots occur frequently in three-dimensional (3D) multi-core processors (3D-MCPs), and they may adversely impact both the reliability and lifetime of a system. The authors present dynamic-voltage-assignment (DVA) strategies that reduce hotspots in and optimise the performance of 3D-MCPs by pre-emptively selecting voltages among low-power and highperformance operating modes. The proposed DVA strategies can be employed in online, thermally constrained task schedulers. Three DVA strategies, random DVA, thermal-aware DVA (TADVA) and TADVA2.0, are proposed to reduce the temperature increase in 3D-MCPs by pre-emptively and dynamically estimating the optimum VAs for all cores in the processor during runtime once the chip begins operating. In particular, TADVA2.0 uses the temperature-variation rates of the cores and takes into account two important thermal behaviours of 3D-MCPs that can effectively limit the temperature increase in 3D-MCPs. Experimental results indicate that, when compared with two previous online thermally constrained task schedulers, the proposed task scheduler with their novel DVA strategy can reduce hotspot occurrences by ∼60% and improve throughput by ∼8%. These results indicate that the proposed TADVA2.0 strategy is an effective technique for suppressing hotspot occurrences and optimising throughput for 3D-MCPs subject to thermal constraints.

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Section: Random Dvamentioning

confidence: 99%

Section: Random Dvamentioning

confidence: 99%

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Online task scheduler in 3D‐MCPs with TADVA

Liao

Wen²

2018

IET Computers & Digital Techniques

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Temperature‐aware core management in MPSoCs: modelling and evaluation using MRMs

Taheri¹,

Khonsari²,

Entezari‐Maleki³

et al. 2019

IET Computers & Digital Techniques

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With successive scaling of CMOS technology, power density and cooling costs significantly increase. Consequently, the cooling system of processors can no longer be designed for the worst-case situation in each generation of CMOS technology and there is an essential need for run-time techniques to control the operating temperature. Task scheduling and resource management with respect to thermal constraints are run-time methods used to control the thermal profile of a system. In this study, the authors use Markov Reward Models (MRMs) to model and evaluate a new core thermal management method, which can reduce hotspots and balance the thermal profile of a multi-core system. Although the proposed management method degrades the performance of the system, such as other previously presented methods, it controls the temperature of a die to decrease the temperature variation and hotspots. The proposed approach is assessed on a quad-core system and the experimental results are compared to the results obtained from the proposed MRM to demonstrate the accuracy of the proposed analytical model.

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SVM-Based Dynamic Voltage Prediction for Online Thermally Constrained Task Scheduling in 3-D Multicore Processors

Liao

Wen

2018

IEEE Embedded Syst. Lett.

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Dynamic voltage assignment for thermal-constrained task scheduler on 3D multi-core processors

Cited by 3 publications

References 9 publications

Online task scheduler in 3D‐MCPs with TADVA

Online task scheduler in 3D‐MCPs with TADVA

Temperature‐aware core management in MPSoCs: modelling and evaluation using MRMs

SVM-Based Dynamic Voltage Prediction for Online Thermally Constrained Task Scheduling in 3-D Multicore Processors

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