scholarly journals Exploiting Data-dependencies in Ultra Low-power DSP Arithmetic

VLSI Design ◽  
2001 ◽  
Vol 12 (3) ◽  
pp. 349-363
Author(s):  
V. A. Bartlett ◽  
E. Grass

Strategies for the design of ultra low power multipliers and multiplier-accumulators are reported. These are optimized for asynchronous applications being able to take advantage of data-dependent computation times. Nevertheless, the low power consumption can be obtained in both synchronous and asynchronous environments. Central to the energy efficiency is a dynamic-logic technique termed Conditional Evaluation which is able to exploit redundancies within the carry-save array and deliver energy consumption which is also heavily data-dependent.Energy efficient adaptations for handling two's complement operands are introduced. Area overheads of the proposed designs are estimated and transistor level simulation results of signed and unsigned multipliers as well as a signed multiplier-accumulator are given.Normalized comparisons with other designs show our approach to use less energy than other published multipliers.

2014 ◽  
Vol 681 ◽  
pp. 86-89
Author(s):  
Xiao Xiao Sun ◽  
Bing Wei Zhang ◽  
Jia Ju Liu ◽  
Qiao Chen

To reduce launching load of rocket and power consumption of rover, design of sampling manipulator was proposed which was lightweight, low-power consumption and multifunctional. Stability principle of triangle was used to comprise stable structure between robotic arm and locking device. And the weight of planetary rover was effectively reduced and its energy efficiency was greatly improved by combining manipulator and mast lifting stereo camera into one. Forward and inverse formulas were built by using D-H method and Robotics Toolbox was used for kinematics simulation. The simulation results indicate that the design of samping manipulator is reasonal which meets the purposes of lightweight and low power consumption.


Author(s):  
Hiroshi Ishii

In order to solve the environmental crisis problem and to realize the sustainable environment, we need the efforts to reduce energy consumption. It is reported that the energy consumption by IT including communication will rapidly grow. Based on this situation, Japan Science and Technology Agency (JST) has begun the project of “Ultra low power consumption information technology” under the umbrella of the competitive research fund named “Core Research for Evolutional Science and Technology (CREST)”. We have applied to the open call for proposal and our proposal “Ultra low power Data Driven Networking System (ULPDDNS)” has been accepted as one of 2007-2012 frame projects by JST CREST. Our objective is to develop a data-driven networking system that can achieve reduction of power consumption to 1/100-1/1000 compared with the existing systems, especially in the situation just after a disaster happened. We believe the most applicable network to disaster situation is Mobile Ad hoc NETwork (MANET). This paper introduces the ULPDDNS research activities mainly from the viewpoint of network, i.e., MANET and shows three techniques to establish highly efficient and energy saving MANETswith reasonable performance: (1) GPS-aided target information discovery, (2) Load-aware broadcast-type contents delivery, and (3) Trust relationship list based key management.


2019 ◽  
Vol 8 (4) ◽  
pp. 10148-10152

At around 10nm, direct source to drain tunneling in COS-MOS technology constituting fundamental limitations that in turn hold back their suitability for modern electronic appliances chiefly as far as area, energy competency and performance. In advanced electronic appliances, memory constituents play a crucial part. Almost in every digital appliance, memory component is mostly preferred due to its unique potentiality to withhold information. Due to rapid technology advancements, architecture of SRAM is truly tested as far as delay, energy efficiency and stability. Traditional 6T memory unit experiences passage transistor conflict arises the contrast among read balance and write competence. The paper that proposed here contrasts the performance of distinctive CNTFET based 8T memory unit architectures like Traditional and Dual-Port with respect to write delay, read delay and power efficiency like static and dynamic. 8T SRAM bit cell is designed with 32nm CNTFET technology using HSPICE Tool. From the HSPICE simulation results, Dual-Port CNTFET SRAM has provide better read and write delays were reduced by ~8.8% and ~16.3%, static power and dynamic power by ~12.5% and ~42.2% respectively than conventional one.


Author(s):  
S. Alabadi ◽  
Predrag Rapajic ◽  
K. Arshad ◽  
Soheil Rostami

The number of Machine-to-Machine (M2M) devices has increased massively in the last few years and will continue to increase in the years to come. Spectrum utilisation efficiency and energy efficiency are the main challenges and design goals for M2M networks. Cognitive radio (CR) is a promising technology that can address these challenges. In this paper, the authors have proposed and developed an energy efficient mechanism to reduce energy consumption in Cognitive M2M (CM2M) networks. Their solution guarantees the throughput and reliability constraints for CM2M Devices (CM2MDs). The proposed mechanism can reduce energy consumption in CM2M networks by exploiting efficient sensing and accessing schemes for CM2MDs. The authors further develop sleep-mode/switching and accessing techniques to work efficiently with the proposed mechanism. The simulation results show that the proposed mechanism guarantees a desirable throughput and reduces overall energy consumption in the network.


Impact ◽  
2020 ◽  
Vol 2020 (1) ◽  
pp. 79-81
Author(s):  
Hiromi Yuasa

The devices we use on a day-to-day basis require a substantial amount of energy to power, but even more energy is left unused and goes to waste. What if our devices were (at least nearly) completely energy efficient? This would help pave the way towards a greener and more energy smart future. This concept is something one team of Japanese researchers is working on, by using quasi antiferromagnetic (AFM) materials which work successfully at the nanoscale. Professor Hiroma Yuasa is based at Kyushu University, Japan, where her laboratory is working on spintronics research. Currently, her focus includes spin current physics and spin torque in artificial magnetic structures, including the applications of these, such as in energy harvesting and ultra-low power consumption devices, which could help in achieving a greener future.


2016 ◽  
Vol 858 ◽  
pp. 234-240
Author(s):  
Yue Fu ◽  
Wei Ju Yang

A shading roof can be an effective strategy to decrease the air-conditioning energy consumption as well as to improve the thermal environment inside a house in the place that is hot in summer and cold in winter. In Suzhou, a city in such place, traditional dwellings were constructed with shading roof eaves that have different sizes, allowing them adaptive to local climate. These eaves are worthy of being studied and improved. This study presents a summary of the sizes of the shading roof eaves of traditional Suzhou dwellings. The southward eave that has the greatest effect on indoor thermal environment is taken as the object of the current study, and a traditional Suzhou dwelling is selected as our case for the current study. Several comparative models are built, in which, the southward length of the roof eave is increased by 0.2m, from 0m to 2m. The effects of the length on both heating and cooling energy consumption are simulated by using the software Energyplus. As shown in the quantitative analysis of the simulation results, the structure is energy-efficient when the length is less than 0.6m, and the annual energy consumption reaches its minimum when the length is 0.4m.


Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3718 ◽  
Author(s):  
Rajeev Piyare ◽  
Amy Murphy ◽  
Michele Magno ◽  
Luca Benini

Energy efficiency is crucial in the design of battery-powered end devices, such as smart sensors for the Internet of Things applications. Wireless communication between these distributed smart devices consumes significant energy, and even more when data need to reach several kilometers in distance. Low-power and long-range communication technologies such as LoRaWAN are becoming popular in IoT applications. However, LoRaWAN has drawbacks in terms of (i) data latency; (ii) limited control over the end devices by the gateway; and (iii) high rate of packet collisions in a dense network. To overcome these drawbacks, we present an energy-efficient network architecture and a high-efficiency on-demand time-division multiple access (TDMA) communication protocol for IoT improving both the energy efficiency and the latency of standard LoRa networks. We combine the capabilities of short-range wake-up radios to achieve ultra-low power states and asynchronous communication together with the long-range connectivity of LoRa. The proposed approach still works with the standard LoRa protocol, but improves performance with an on-demand TDMA. Thanks to the proposed network and protocol, we achieve a packet delivery ratio of 100% by eliminating the possibility of packet collisions. The network also achieves a round-trip latency on the order of milliseconds with sensing devices dissipating less than 46 mJ when active and 1.83 μW during periods of inactivity and can last up to three years on a 1200-mAh lithium polymer battery.


2013 ◽  
Vol 765-767 ◽  
pp. 1747-1751
Author(s):  
Ding De Jiang ◽  
Wen Juan Wang ◽  
Wei Han Zhang ◽  
Peng Zhang ◽  
Ya Li

This paper proposes an energy-efficient model to overcome the energy-efficient problem in large-scale IP networks, based on QoS constraints. To characterize network energy consumption, we present a link energy consumption model based on the sleep and speed scaling mechanisms. If there is no traffic on a link, let it sleep, or activate it and divide its energy consumption into base energy consumption and traffic energy consumption. And then according to the link energy consumption model, we can build our energy-efficient model to improve the network energy efficiency. Finally, simulation results show that our model can significantly improve the network energy efficiency.


2016 ◽  
Vol 136 (11) ◽  
pp. 1555-1566 ◽  
Author(s):  
Jun Fujiwara ◽  
Hiroshi Harada ◽  
Takuya Kawata ◽  
Kentaro Sakamoto ◽  
Sota Tsuchiya ◽  
...  

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