Accurate modeling and calculation of delay and energy overheads of dynamic voltage scaling in modern high-performance microprocessors

Park, Jaehyun; Shin, Donghwa; Chang, Naehyuck; Pedram, Massoud

doi:10.1145/1840845.1840938

Cited by 81 publications

(49 citation statements)

References 21 publications

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“…If we use 60 Hz refresh rate, then the expected power overhead for the voltage transition is about 46 mW. However, as indicated in [20], the extra energy consumed as a result of scaling up V DD can be compensated for by the V DD downscaling. Consequently, the expected amount of wasted energy is negligible for random V DD change.…”

Section: B V Dd Transition Overheadmentioning

confidence: 99%

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Dynamic Driver Supply Voltage Scaling for Organic Light Emitting Diode Displays

Shin

Kim

Chang

et al. 2013

IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

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Abstract-Organic light emitting diode (OLED) display is a self-illuminating device that is supposed to be power efficient than liquid crystal display (LCD). However, OLED display panels consume as much power as LCD panels due to total internal refection. As the power consumption of the OLED panel depends on the pixel colors, most previous power saving methods alter the pixel colors. In practice, such OLED power saving techniques can hardly accommodate photo viewers and movie players. This paper introduces the first OLED power saving technique that dynamically changes the supply voltage of the panel. Reduced supply voltage results in both power saving and decreased pixel luminance, but model-based color correction restores the decreased luminance with minimum color distortion. This technique is similar to dynamic backlight scaling of LCDs but is based on the unique characteristics of the OLED drivers. We provide an online color compensation algorithm using the luminance histogram. Luminance quantization in the histogram also achieves resource minimization. We develop a prototype and demonstrate the proposed OLED dynamic voltage scaling (DVS). Experimental result shows that the proposed OLED DVS saves up to 74.7% of the display power for the still images and up to 35.9% for movie clips.

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Section: B V Dd Transition Overheadmentioning

confidence: 99%

“…Transition energy overhead in a DVS-enable system was carefully studied in [20]. When V DD range is from 8 V to 15 V with a 22 µF output bulk capacitor in the DC-DC converter (which is used in our implementation), the required energy to charge the output bulk capacitor is about 0.76 mJ.…”

Section: B V Dd Transition Overheadmentioning

confidence: 99%

Dynamic Driver Supply Voltage Scaling for Organic Light Emitting Diode Displays

Shin

Kim

Chang

et al. 2013

IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

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“…Throughout this paper we assume that dynamic power is cubic in relation to speed [26][27][28], and that CPU can go into a sleep mode in which the power consumption is negligible. Therefore, the overall system power when executing at speed σ is defined as:…”

Section: Power and Energy Modelsmentioning

confidence: 99%

Shadow Replication: An Energy-Aware, Fault-Tolerant Computational Model for Green Cloud Computing

et al. 2014

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As the demand for cloud computing continues to increase, cloud service providers face the daunting challenge to meet the negotiated SLA agreement, in terms of reliability and timely performance, while achieving cost-effectiveness. This challenge is increasingly compounded by the increasing likelihood of failure in large-scale clouds and the rising impact of energy consumption and CO 2 emission on the environment. This paper proposes Shadow Replication, a novel fault-tolerance model for cloud computing, which seamlessly addresses failure at scale, while minimizing energy consumption and reducing its impact on the environment. The basic tenet of the model is to associate a suite of shadow processes to execute concurrently with the main process, but initially at a much reduced execution speed, to overcome failures as they occur. Two computationally-feasible schemes are proposed to achieve Shadow Replication. A performance evaluation framework is developed to analyze these schemes and compare their performance to traditional replication-based fault tolerance methods, focusing on the inherent tradeoff between fault tolerance, the specified SLA and profit maximization. The results show that Shadow Replication leads to significant energy reduction, and is better suited for compute-intensive execution models, where up to 30% more profit increase can be achieved due to reduced energy consumption.

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“…Reference [7] and Reference [8] used dynamic slack reclamation strategy for different systems. Reference [9] has pointed that about 83% researches in DVFS technology have not considered about the DVFS overhead in recent years.…”

Section: Related Workmentioning

confidence: 99%

A Time Reservation Dynamic Algorithm Based on the Variable Frequency Interval DVFS Technology

Xiao¹,

Cheng²,

Zeng³

2014

Proceedings of the 3rd International Conference on Computer Science and Service System

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Abstract-embedded systems have been used in various areas of people's lives. However, the contradictions between performance and power consumption of embedded products have become increasingly prominent. DVFS technologies provide the possibility for solving the contradiction between performance and power consumption of equipment. In this paper, a DVFS algorithm based on variable interval DVFS technology has been improved. The improved algorithm reduces response delay by reserving part of execution time of the task.

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Accurate modeling and calculation of delay and energy overheads of dynamic voltage scaling in modern high-performance microprocessors

Cited by 81 publications

References 21 publications

Dynamic Driver Supply Voltage Scaling for Organic Light Emitting Diode Displays

Dynamic Driver Supply Voltage Scaling for Organic Light Emitting Diode Displays

Shadow Replication: An Energy-Aware, Fault-Tolerant Computational Model for Green Cloud Computing

A Time Reservation Dynamic Algorithm Based on the Variable Frequency Interval DVFS Technology

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