scholarly journals Phase-Based Accurate Power Modeling for Mobile Application Processors

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1197
Author(s):  
Kitak Lee ◽  
Seung-Ryeol Ohk ◽  
Seong-Geun Lim ◽  
Young-Jin Kim
Keyword(s):  
Power Consumption ◽  
Mobile Application ◽  
Total Power ◽  
Average Error ◽  
Power Model ◽  
Power Modeling ◽  
Estimation Errors ◽  
Total Power Consumption ◽  
Battery Capacity ◽  
Power Models

Modern mobile application processors are required to execute heavier workloads while the battery capacity is rarely increased. This trend leads to the need for a power model that can analyze the power consumed by CPU and GPU at run-time, which are the key components of the application processor in terms of power savings. We propose novel CPU and GPU power models based on the phases using performance monitoring counters for smartphones. Our phase-based power models employ combined per-phase power modeling methods to achieve more accurate power consumption estimations, unlike existing power models. The proposed CPU power model shows estimation errors of 2.51% for ARM Cortex A-53 and 1.97% for Samsung M1 on average, and the proposed GPU power model shows an average error of 8.92% for the Mali-T880. In addition, we integrate proposed CPU and GPU models with the latest display power model into a holistic power model. Our holistic power model can estimate the smartphone′s total power consumption with an error of 6.36% on average while running nine 3D game benchmarks, improving the error rate by about 56% compared with the latest prior model.

Power Modeling Framework for an Asynchronous Processor

2016 ◽  
Vol 25 (06) ◽  
pp. 1650057
Author(s):  
Je-Hoon Lee
Keyword(s):  
Power Consumption ◽  
High Accuracy ◽  
The Other ◽  
Power Model ◽  
Power Modeling ◽  
Modeling Framework ◽  
Low Level ◽  
Architectural Model ◽  
Power Models

This paper presents two power models for an asynchronous processor, A8051. The first one is a pipeline accurate model which models power consumption at each pipeline stage. The other one is a micro-architectural model which models power consumption at micro-operation level. Then, we demonstrate the feasibility of the proposed approach on an A8051 processor case study. The experimental results based on applying the proposed pipeline-accurate and micro-architectural power models on an A8051 processor demonstrate that the proposed power models have high accuracy with simulation times much faster than the conventional low-level power simulator. It also shows similar results compared to the conventional power model for a synchronous processor. Even though the simulation speeds for the proposed power models are approximately 100–900 times faster than the low-level power simulator, the differences are less than 18% and 15%, respectively. Thus, the proposed power models can give a guide for SoC designers who want to integrate the asynchronous processor for low-power SoC design.

scholarly journals Modified Keeper Controlled Domino Circuit for Low Power High Performance Wide Fan in OR Gates

2019 ◽  
Vol 8 (6) ◽  
pp. 3121-3126
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
High Performance ◽  
Total Power ◽  
Total Power Consumption ◽  
Power Models ◽  
Domino Circuit ◽  
Circuit Techniques ◽  
Capacitive Loading ◽  
Technology Nodes

A novel modified keeper technique has been proposed in this paper for domino logic circuits implemented as wide fan in OR gate. Few circuit parameters as capacitivie loading and delay are major concerns for OR gates in deeper technology nodes. This design focuses on a comparator block with modified dual keeperto maintain the output logic state. Additionally it comprises of a delay loop to limit the contention current. The proposed design reduces the input capacitive loading and total power consumption by the circuit, while keeping the speed of operation same. It was compared with latest domino circuit techniques and the proposed design MKCD has achieved a reduction of 41% in power consumption in 64 bit configuration as compared to conventional domino circuit SFLD. Average noise immunity has also increased by more than twice as compared to SFLD. The simulations were performed using 90nm PTM low power models.

scholarly journals Per-Core Power Modeling for Heterogenous SoCs

Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2428
Author(s):  
Ganapati Bhat ◽  
Sumit K. Mandal ◽  
Sai T. Manchukonda ◽  
Sai V. Vadlamudi ◽  
Ayushi Agarwal ◽  
...  
Keyword(s):  
Power Consumption ◽  
Graphics Processing Units ◽  
Total Power ◽  
Power Modeling ◽  
Mobile Platforms ◽  
Multiple Resources ◽  
Wide Range ◽  
Total Power Consumption ◽  
On Chip ◽  
The One

State-of-the-art mobile platforms, such as smartphones and tablets, are powered by heterogeneous system-on-chips (SoCs). These SoCs are composed of many processing elements, including multiple CPU core clusters (e.g., big.LITTLE cores), graphics processing units (GPUs), memory controllers and other on-chip resources. On the one hand, mobile platforms need to provide a swift response time for interactive apps and high throughput for graphics-oriented workloads; on the other hand, the power consumption must be under tight control to prevent high skin temperatures and energy consumption. Therefore, commercial systems feature a range of mechanisms for dynamic power and temperature control. However, these techniques rely on simple indicators, such as core utilization and total power consumption. System architects are typically limited to the total power consumption, since multiple resources share the same power rail. More importantly, most of the power rails are not exposed to the input/output pins. To address this challenge, this paper presents a thorough methodology to model the power consumption of major resources in heterogeneous SoCs. The proposed models utilize a wide range of performance counters to capture the workload dynamics accurately. Experimental validation on a Nexus 6P phone, powered by an octa-core Snapdragon 810 SoC, showed that the proposed models can estimate the power consumption within a 10% error margin.

scholarly journals Efficient Operation Method of Aquifer Thermal Energy Storage System Using Demand Response

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3129
Author(s):  
Jewon Oh ◽  
Daisuke Sumiyoshi ◽  
Masatoshi Nishioka ◽  
Hyunbae Kim
Keyword(s):  
Energy Storage ◽  
Power Consumption ◽  
Thermal Energy ◽  
Demand Response ◽  
Thermal Energy Storage ◽  
Heat Storage ◽  
Storage System ◽  
Total Power ◽  
Operation Method ◽  
Total Power Consumption

The mass introduction of renewable energy is essential to reduce carbon dioxide emissions. We examined an operation method that combines the surplus energy of photovoltaic power generation using demand response (DR), which recognizes the balance between power supply and demand, with an aquifer heat storage system. In the case that predicts the occurrence of DR and performs DR storage and heat dissipation operation, the result was an operation that can suppress daytime power consumption without increasing total power consumption. Case 1-2, which performs nighttime heat storage operation for about 6 h, has become an operation that suppresses daytime power consumption by more than 60%. Furthermore, the increase in total power consumption was suppressed by combining DR heat storage operation. The long night heat storage operation did not use up the heat storage amount. Therefore, it is recommended to the heat storage operation at night as much as possible before DR occurs. In the target area of this study, the underground temperature was 19.1 °C, the room temperature during cooling was about 25 °C and groundwater could be used as the heat source. The aquifer thermal energy storage (ATES) system in this study uses three wells, and consists of a well that pumps groundwater, a heat storage well that stores heat and a well that used heat and then returns it. Care must be taken using such an operation method depending on the layer configuration.

scholarly journals A Novel Differential Log-Companding Amplifier for Biosignal Sensing

2016 ◽  
Vol 2016 ◽  
pp. 1-7
Author(s):  
Zigang Dong ◽  
Xiaolin Zhou ◽  
Yuanting Zhang
Keyword(s):  
Power Consumption ◽  
Supply Voltage ◽  
Nonlinear Function ◽  
New Method ◽  
Total Power ◽  
Maximum Output ◽  
Output Current ◽  
Current Range ◽  
Symmetrical Configuration ◽  
Total Power Consumption

We proposed a new method for designing the CMOS differential log-companding amplifier which achieves significant improvements in linearity, common-mode rejection ratio (CMRR), and output range. With the new nonlinear function used in the log-companding technology, this proposed amplifier has a very small total harmonic distortion (THD) and simultaneously a wide output current range. Furthermore, a differential structure with conventionally symmetrical configuration has been adopted in this novel method in order to obtain a high CMRR. Because all transistors in this amplifier operate in the weak inversion, the supply voltage and the total power consumption are significantly reduced. The novel log-companding amplifier was designed using a 0.18 μm CMOS technology. Improvements in THD, output current range, noise, and CMRR are verified using simulation data. The proposed amplifier operates from a 0.8 V supply voltage, shows a 6.3 μA maximum output current range, and has a 6 μW power consumption. The THD is less than 0.03%, the CMRR of this circuit is 74 dB, and the input referred current noise density is166.1 fA/Hz. This new method is suitable for biomedical applications such as electrocardiogram (ECG) signal acquisition.

Exergy Analysis of a Novel Cryogenic Concept for the Liquefaction of Natural Gas Integrated Into an Air Separation Process

2016 ◽  
Author(s):  
S. Tesch ◽  
T. Morosuk ◽  
G. Tsatsaronis
Keyword(s):  
Natural Gas ◽  
Power Consumption ◽  
Exergy Analysis ◽  
Primary Energy ◽  
Separation Process ◽  
Air Separation ◽  
Total Power ◽  
Separation Unit ◽  
Total Power Consumption ◽  
Liquefaction Temperature

The increasing demand for primary energy leads to a growing market of natural gas and the associated market for liquefied natural gas (LNG) increases, too. The liquefaction of natural gas is an energy- and cost-intensive process. After exploration, natural gas, is pretreated and cooled to the liquefaction temperature of around −160°C. In this paper, a novel concept for the integration of the liquefaction of natural gas into an air separation process is introduced. The system is evaluated from the energetic and exergetic points of view. Additionally, an advanced exergy analysis is conducted. The analysis of the concepts shows the effect of important parameters regarding the maximum amount of liquefiable of natural gas and the total power consumption. Comparing the different cases, the amount of LNG production could be increased by two thirds, while the power consumption is doubled. The results of the exergy analysis show, that the introduction of the liquefaction of natural gas has a positive effect on the exergetic efficiency of a convetional air separation unit, which increases from 38% to 49%.

scholarly journals ENERGY IMPLEMENTATION OF SOLAR PANELS FOR REFRIGERATOR NEEDS LOAD FISHING RESULTS 80 WATT MAXIMUM CAPACITY 20 KG

2019 ◽  
Vol 4 (1) ◽  
pp. 19-31
Author(s):  
A. YUNUS NASUTION ◽  
ADITYA PRATAMA
Keyword(s):  
Power Consumption ◽  
Solar Panel ◽  
Coefficient Of Performance ◽  
Total Power ◽  
Cooling Load ◽  
Solar Panels ◽  
Average Output ◽  
Average Value ◽  
Battery Capacity ◽  
Compressor Power

The initial problems of fishermen still use their semi-modern catches and still use ice cubes as a cooling medium, due to the lack of innovation in the development of the cooling media caught by fishermen. The implementation of solar panel energy is the beginning for the development of refrigerator power consumption caught by fishermen. The goal is to calculate the cooling load on the refrigerator, calculate the Coefficient of performance (COP) at the refrigerator and the loading factors at the refrigerator, where the average ambient temperature is 34 ℃ and the temperature to be achieved is 0℃, the fisherman results used in the study this is a shrimp with a capacity of 20 kg and the cooling time is 4 hours. Where the total cooling load value is 244.29 Watt, multiplied by 10% safety factor, so the overall cooling load is 268.72 Watts, refrigerant mass flow rate is 0.0012 Kg / s, the evaporator capacity is 261 Watt, compressor power is 15.6 Watt, The coefficient of performance (COP) value was 16.73 while for the refrigerant capacity was 0.074 Tons of refrigerant, the loading factors in the study were used to run a refrigerator with 80 Watt power for 4 hours, so that the total refrigerator load was 320 Wh (Watt hour) , to produce 320 Wh power is used 2 solar panel modules with a capacity of 50 Wp (Watt Peak), and uses a solar change controller (SCC) with a capacity of 10 A. The output power of the solar panel is influenced by the intensity of the sun's light emitted, from the test obtained an average value the average output of solar panels is 90.6 watts, while the total power generated in 11 test points is 536 watts, the type used is polycrystalline, solar panels battery and inverter capacity must be greater than the refrigerator power consumption, in this study used a 12V 35 Ah battery capacity and 500 Watt Inverter

scholarly journals Optimization of Power Consumption for the Design of 802.11n MIMO_OFDM System

2018 ◽  
Vol 26 (4) ◽  
pp. 172-184
Author(s):  
Muthna Jasim Fadhil
Keyword(s):  
Power Consumption ◽  
Orthogonal Frequency Division Multiplexing ◽  
High Speed ◽  
Mimo Systems ◽  
Total Power ◽  
Wireless System ◽  
Generator System ◽  
Total Power Consumption ◽  
Consumption Energy ◽  
High Reduction

In modern systems communication, different methods have been improved to change the prior imitative techniques that process communication data with high speed. It is necessary to improve (OFDM) Orthogonal Frequency Division Multiplexing technique because the development in the guideline communication of wireless system which include security data and transmission data reliability. The applications communications of wireless is important to develop in order to optimize the process of communication leads to reduce the level consumption energy of the output level signal. The architecture of VLSI is used to optimize the performance transceiver in 802.11 n OFDM-MIMO systems, this idea concentrate on the design of 6x6 MIMO_OFDM system in software simulink of MATLAB then using generator system for transfer to code of VHDL and applying in FPGA Xilinx Spartan 3 XC3S200 . The modelsim used to get the simulation while Xilinx power estimator is used to calculate power. The results registered total power consumption about 94mW while compared with previous work  was 136mW which means a high reduction of about 30.8% .

scholarly journals A Tool for Energy Consumption Monitoring and Analysis of the Android Terminal

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Deguang Li ◽  
Zhanyou Cui ◽  
Chenguang Bai ◽  
Qiurui He ◽  
Xiaoting Yan
Keyword(s):  
Power Consumption ◽  
Rapid Development ◽  
Mobile Terminal ◽  
Power Model ◽  
Power Modeling ◽  
Application Layer ◽  
Consumption Data ◽  
Android Platform ◽  
Instrument Measurement ◽  
Original Information

With the rapid development of communication technology, the intelligent mobile terminal brings about great convenience to people’s life with rich applications, while its power consumption has become a great concern to researchers and consumers. Power modeling is the basis to understand and analyze the power consumption characteristics of the terminal. In this paper, we analyze the Bluetooth and hidden power consumption of the android platform and fix the power model of open-source Android platform. Then, a power consumption monitoring tool is implemented based on the model; the tool is divided into three layers, which are original information monitor layer, power consumption calculation layer, and application layer. The original monitor layer gets the power consumption data and running time of the different components under different states, the calculation layer calculates the power consumption of each hardware and each application based on the power model of each component, and the application layer displays the real-time power consumption of the software and hardware. Finally, we test our tool in real environment by using Xiaomi 9 Pro and perform comparison with actual instrument measurement; the error between the monitored value and the measured value is less than 5%.

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