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This article presents a platform combining hardware and software for smart power consumption monitoring, controlling, and planning in urban scenarios. The system integrates a hardware controller for energy efficiency, a communication protocol to improve data transmission, and a software module for planning and managing home devices. The proposed solution is implemented applying Internet of Things...
Recently the Smart Transformer (ST) has been discussed as a replacements for the traditional transformer, driven by its advantages in terms of controllability and renewable energy integration. Although the Smart Transformer has lower efficiency than the conventional transformer, its control functionality has the potential to be used for wider system energy savings. This paper proposes a control, namely...
Power-aware scheduling has become a critical research thrust for deploying exascale High Performance Computing (HPC) systems with limited power budget. Time-varying pricing of electricity with respect to the market demand and dynamic HPC workloads can lead to unpredictable operational cost, which complicates the scheduling decisions further. For an oversubscribed HPC system, value based scheduling...
Today, artificial neural networks (ANNs) are widely used in a variety of applications, including speech recognition, face detection, disease diagnosis, etc. And as the emerging field of ANNs, Long Short-Term Memory (LSTM) is a recurrent neural network (RNN) which contains complex computational logic. To achieve high accuracy, researchers always build large-scale LSTM networks which are time-consuming...
The emergence of power efficiency as a primary constraint in processor and system designs poses new challenges concerning power and energy awareness for numerical libraries and scientific applications. Power consumption also plays a major role in the design of data centers in particular for peta- and exa-scale systems. Understanding and improving the energy efficiency of numerical simulation becomes...
In the last years an increasing number of attacks targeting energy consumption in computing systems have been designed and deployed. In this paper we propose a methodology that can be used to limit the effect of all types of power attacks by using the isolation properties guaranteed by virtualization systems. We describe the idea underlying our approach and we present the power consumption measurements...
The distribution of data retention time of DRAM cells heavily dominates the refresh power consumption and fabrication yield. Although merely extending the single standard refresh period can effectively reduce the refresh power, however, it will incur more data retention faults (DRFs). In this paper, a novel sub-bank address remapping (SBAR) technique is proposed to cure this dilemma. Memory blocks...
Internet of Thing (IoT) is growing rapidly with more devices connected to the Internet. One emerging group of these is called wearable devices. The wireless technologies used by wearable devices need to consider the long lasting of battery life. Consequently, Bluetooth Low Energy (BLE) has emerged as the wireless technologies for wearable devices due to its features of low power consumption. In this...
Low-power GPUs have become ubiquitous, they can be found in domains ranging from wearable and mobile computing to automotive systems. With this ubiquity has come a wider range of applications exploiting low-power GPUs, placing ever increasing demands on the expected performance and power efficiency of the devices. The LPGPU2 project is an EU-funded, Innovation Action, 30-month-project targeting to...
The accurate measurement of a server's power consumption when running realistic workloads enables characterization of its energy efficiency and helps to make better provisioning and workload placement decisions. Information on the energy efficiency of a server for a given target workload can greatly influence such decisions and thus the final energy efficiency of a cluster or data center. However,...
Power modelling is important for modern CPUs to inform power management approaches and allow design space exploration. Power simulators, combined with a full-system architectural simulator such as gem5, enable power-performance trade-offs to be investigated early in the design of a system with different configurations (e.g number of cores, cache size, etc.). However, the accuracy of existing power...
Power consumption and high compute density are the key factors to be considered when building a compute node for the upcoming Exascale revolution. Current architectural design and manufacturing technologies are not able to provide the requested level of density and power efficiency to realise an operational Exascale machine. A disruptive change in the hardware design and integration process is needed...
Wireless Multimedia Sensor Networks (WMSN) are one of the emerging paradigms of the Internet of Things (IoT) that are used to retrieve content including scalar data, video and audio streams and still images from the physical environment. In contrast to scalar sensor (such as temperature and humidity sensor) nodes, multimedia sensor nodes capture high volumes of data and perform far more complex tasks...
This paper proposes a method for FPGA-based space-borne systems supporting multi-task applications to enable run-time combined adaptation to variations in system power budget and variations in available hardware resources due to occurrence of transient or permanent faults. The adaptation method assumes that each task in the workload has multiple implementations, which can operate at different clock...
Unmanned Aerial Vehicles (UAVs) are increasingly being adopted for military and civilian applications. UAVs available on the market are well known to be resource constrained, especially in terms of available energy. As a result, it is very challenging to predict the critical performance characteristics of a UAV, such as flight time or the ability of a UAV to complete a mission, given the system parameters...
Power and energy consumption are seen of one of the most critical design factor for any next generation large-scale HPC system. The price centers have to pay for energy is shifting the budgets from investment to operating costs, leading to scenarios in which the sizes of systems will be determined by their power needs, rather by the initial hardware cost. As a consequence, virtually all funding agencies...
Platforms with different computation resource, e.g. CPUs and FPGAs, become one of the first choices to deploy performance-requiring embedded applications. On this technology, functionalities can be implemented either as hardware (HW) or software (SW) components. Here, we extend the MultiPar methodology to support the selection of optimal partitioning solutions with respect to system properties. We...
In this paper, we explore the pessimistic voltage guardbands of two multicore x86-64 microprocessor chips that belong to different microarchitectures (one ultra-low power and one high-performance microprocessor), when programs are executed on individual cores of the CPU chips. We also examine the energy and temperature gains as positive effects of lowering the voltage in both chips while preserving...
The architectures of large-scale Internet servers are becoming more complex each year in order to store and process a large amount of Internet data (Big Data) as efficiently as possible. One of the consequences of this continually growing complexity is that individual servers consume a significant amount of data even when they are idle. In this paper we experimentally investigate the scope and usefulness...
Due to the downscaling of transistor feature sizes, nowadays integrated circuits are more vulnerable to various effects that can cause faults during operation. Appropriate mechanisms for handling these faults in the field are required to meet certain dependability demands nonetheless. At the same time, the overhead in chip area and power consumption that is caused by such fault tolerance techniques...
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