Power Estimation on Electronic System Level using Linear Power Models

Schuermans, Stefan; Leupers, Rainer

doi:10.1007/978-3-030-01875-7

Cited by 7 publications

(3 citation statements)

References 9 publications

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“…At register-transfer-level (RTL), there are several approaches discussed in the literature to find the switching activities inde the circuit [17]. These approaches are quite accurate, but due to slowness and expensiveness, they limit the length of the input stream.…”

Section: Literature Reviewmentioning

confidence: 99%

Efficient power macromodeling approach for an IP-based SoC system using discrete water cycle algorithm

Siddiq¹,

Durrani²

2021

Turkish Journal of Electrical Engineering and Computer Sciences

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Low-power consumption is becoming a crucial concern that cannot be neglected in system-on-chip (SoC) designs. Low-power solutions help designers to provide a powerful methodology to analyze, estimate, and optimize today's power concerns. Early estimation of power at a high level reduces the redesign cycle and turn-around time.Power dissipation is a function of input patterns and their characteristics. This paper describes a power estimation technique by using predefined statistical characteristics-based input patterns, which gives the average power dissipation of individual intellectual property (IP) blocks and interconnects/buses in an SoC system design. During the power estimation phase, the discrete water cycle algorithm is implemented to generate optimized input patterns. Then Monte-Carlo zero-delay simulation approach is used for each individual IP block and buses at a high level. Total system power is the simple addition of average powers of IP blocks and buses. In experiments of entire IP-based SoC system with buses, our modified macromodel gives an average error of 7.91%. Accuracy of the proposed model is improved as compared to our previous model.

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Section: Literature Reviewmentioning

confidence: 99%

Efficient power macromodeling approach for an IP-based SoC system using discrete water cycle algorithm

Siddiq¹,

Durrani²

2021

Turkish Journal of Electrical Engineering and Computer Sciences

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“…However, these methods do not consider power management; thus, the obtained results can be highly inaccurate and misleading. On the other hand, the methods [27][28][29] support some kind of power management. However, this is not based on standard power-management concepts, resulting in difficult verification at lower levels.…”

Section: Related Workmentioning

confidence: 99%

PESL: System-Level Estimation of Power-Management Effect on Dynamic Energy Consumption

2020

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Power estimation is one of the key aspects that can help designers create digital circuits more effectively. If a designer is able to estimate circuit parameters during the early stages of development, correct decisions can be made that can significantly shorten the design time. The early design stages are represented by modeling at the system level of abstraction. However, existing system-level power/energy estimation methods are either too complicated, or they do not consider power management when estimating power consumption, meaning they are inaccurate. Therefore, in this paper we propose a method for a more accurate system-level estimation of the dynamic energy consumption by considering the impact of power management. The SystemC description of a power-managed system and the simulation results (in the form of the value change dump (VCD)) are inputs to the estimation method. The proposed method is based on an activity profile using the modified Hamming distance computation. The method is especially useful for the exploration of alternative power-management strategies, and it helps the designer to select the most efficient strategy.

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“…Future prospects of MCHS with passive method and Moore's LawRapid development of MCHS in the thermal management of electronic device is expected to be continued until the year of 2040. According to Moore's law used by Intel for transistor count observation, the number of transistors has doubled every 24 months[141][142][143][144][145] as shown inFigure 6[142]. There are three measures considered in the increasing number of transistors per microchips, such as shrinking the size of the single transistor (scaling), increasing the microchip area, and improving circuit and device design.…”

mentioning

confidence: 99%

A review of passive methods in microchannel heat sink application through advanced geometric structure and nanofluids: Current advancements and challenges

Japar

Sidik

Saidur

et al. 2020

Nanotechnology Reviews

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Microchannel heat sink (MCHS) is an advanced cooling technique to fulfil the cooling demand for electronic devices installed with high-power integrated circuit packages (microchips). Various microchannel designs have been innovated to improve the heat transfer performance in an MCHS. Specifically, the utilisation of nanotechnology in the form of nanofluid in an MCHS attracted the attention of researchers because of considerable enhancement of thermal conductivity in nanofluid even at a low nanoparticle concentration. However, a high-pressure drop was the main limitation as it controls the MCHS performance resulted from heat transfer augmentation. Therefore, this study aimed to critically summarise the challenges and limitations of both single and hybrid passive methods of MCHS. Furthermore, the performance of nanofluid as a coolant in the MCHS as affected by the type and concentration of nanoparticle and the type of base fluid was reviewed systematically. The review indicated that the hybrid MCHS provides a better cooling performance than MCHS with the single passive method as the former results in a higher heat transfer rate with minimal pressure drop penalty. Besides that, further heat transfer performance can be enhanced by dispersing aluminium dioxide (Al2O3) nanoparticles with a concentration of less than 2.0% (v/v) in the water-based coolant.

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Power Estimation on Electronic System Level using Linear Power Models

Cited by 7 publications

References 9 publications

Efficient power macromodeling approach for an IP-based SoC system using discrete water cycle algorithm

Efficient power macromodeling approach for an IP-based SoC system using discrete water cycle algorithm

PESL: System-Level Estimation of Power-Management Effect on Dynamic Energy Consumption

A review of passive methods in microchannel heat sink application through advanced geometric structure and nanofluids: Current advancements and challenges

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