Using Parallel Computing to Reduce CPU Power

In this paper, we analyze parallelism as an energy-saving technique for mobile terminal or on-board systems. We show that the expected gains are considerable. However, some natural constraints can appear when applying massively this idea. Therefore, we analyze this concept on a simple model in an environment where either the space for circuitry is restricted, or the total weight of the system, including energy sources, has to be minimized. It turns to give new types of CAD problems. Finally, we analyze fault tolerance issues and solutions in a satellite-like environment

Optimization of Dijkstra Algorithm

his paper presents schematic and layout design s for low power adiabatic Ripple Carry Adder which is implemented by proposed N - type & P - type Full Adder Cell . Adiabatic logic Design is the most efficient energy saving technique which provides very low power dis sipat ion for VLSI circuits. In this paper the main emphasis on the most significant technique of adiabatic logic design that is Complementary Pass Transistor Logic. Simulation results show s that energy loss of digital VLSI circuits can be greatly reduced by using Complementary Pass Transistor A diabatic Logic technique. All the circuits have been simulated on BSIM3V3 90nm technology on tanner EDA tool

Layout Design and Implementation of Adiabatic based Low Power CPAL Ripple Carry Adder

his paper presents schematic and layout design s for low power adiabatic Ripple Carry Adder which is implemented by proposed N - type & P - type Full Adder Cell . Adiabatic logic Design is the most efficient energy saving technique which provides very low power dis sipat ion for VLSI circuits. In this paper the main emphasis on the most significant technique of adiabatic logic design that is Complementary Pass Transistor Logic. Simulation results show s that energy loss of digital VLSI circuits can be greatly reduced by using Complementary Pass Transistor A diabatic Logic technique. All the circuits have been simulated on BSIM3V3 90nm technology on tanner EDA tool

A Survey of Techniques For Improving Energy Efficiency in Embedded Computing Systems

Recent technological advances have greatly improved the performance and features of embedded systems. With the number of just mobile devices now reaching nearly equal to the population of earth, embedded systems have truly become ubiquitous. These trends, however, have also made the task of managing their power consumption extremely challenging. In recent years, several techniques have been proposed to address this issue. In this paper, we survey the techniques for managing power consumption of embedded systems. We discuss the need of power management and provide a classification of the techniques on several important parameters to highlight their similarities and differences. This paper is intended to help the researchers and application-developers in gaining insights into the working of power management techniques and designing even more efficient high-performance embedded systems of tomorrow

Decision making processes and the adoption of energy saving techniques in social housing

Many innovative techniques and large policy measures have been introduced to reduce energy consumption. Despite the high ambitions and societal pressures, the adoption rate of energy measures is still low. Using adoption theories this paper provides a framework to analyse the adoption process of energy saving techniques in building processes. The stakeholders in the adoption process of energy measures are analysed during every phase of a building project. This framework is used to analyse four projects of a social housing corporation. The low rate of adoption of energy saving techniques can be explained by the large number and variety of stakeholders involved

No-Sense: Sense with Dormant Sensors

Wireless sensor networks (WSNs) have enabled continuous monitoring of an area of interest (body, room, region, etc.) while eliminating expensive wired infrastructure. Typically in such applications, wireless sensor nodes report the sensed values to a sink node, where the information is required for the end-user. WSNs also provide the flexibility to the end-user for choosing several parameters for the monitoring application. For example, placement of sensors, frequency of sensing and transmission of those sensed data. Over the years, the advancement in embedded technology has led to increased processing power and memory capacity of these battery powered devices. However, batteries can only supply limited energy, thus limiting the lifetime of the network. In order to prolong the lifetime of the deployment, various efforts have been made to improve the battery technologies and also reduce the energy consumption of the sensor node at various layers in the networking stack. Of all the operations in the network stack, wireless data transmission and reception have found to consume most of the energy. Hence many proposals found in the literature target reducing them through intelligent schemes like power control, reducing retransmissions, etc. In this article we propose a new framework called Virtual Sensing Framework (VSF), which aims to sufficiently satisfy application requirements while conserving energy at the sensor nodes.Comment: Accepted for publication in IEEE Twentieth National Conference on Communications (NCC-2014

Power Management Techniques for Data Centers: A Survey

With growing use of internet and exponential growth in amount of data to be stored and processed (known as 'big data'), the size of data centers has greatly increased. This, however, has resulted in significant increase in the power consumption of the data centers. For this reason, managing power consumption of data centers has become essential. In this paper, we highlight the need of achieving energy efficiency in data centers and survey several recent architectural techniques designed for power management of data centers. We also present a classification of these techniques based on their characteristics. This paper aims to provide insights into the techniques for improving energy efficiency of data centers and encourage the designers to invent novel solutions for managing the large power dissipation of data centers.Comment: Keywords: Data Centers, Power Management, Low-power Design, Energy Efficiency, Green Computing, DVFS, Server Consolidatio