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CPU Energy Meter: A Tool for Energy-Aware Algorithms Engineering
[chapter]
2020
Lecture Notes in Computer Science
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To close this gap, we contribute CPU Energy Meter, a small tool that takes care of reading the energy values that Intel CPUs track inside the chip. ...
In order to make energy measurements as easy as possible, we integrated CPU Energy Meter into BenchExec, a benchmarking tool that is already used by many researchers and competitions in the domain of formal ...
Energy measurements should be used for algorithm engineering [1] , and there is a strong need for tool support, such as PowerPack [8] . ...
doi:10.1007/978-3-030-45237-7_8
fatcat:l7qrfslyfbf5fj54yzv3c3qe6q
CPU gradients: Performance-aware energy conservation in multitier systems
2010
International Conference on Green Computing
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The approach proposes a new predictive model, the CPU gradient, that can be automatically measured on a running system using lightweight and nonintrusive CPU perturbations. ...
Dynamic voltage and frequency scaling (DVFS) and virtual machine (VM) based server consolidation are wellknown CPU scaling techniques for energy conservation that can have an adverse impact on system performance ...
ENERGY CONSERVATION In this section, we show how CPU gradients can be used for performance-aware energy conservation efforts by deploying the two energy controllers described in Section IV. ...
doi:10.1109/greencomp.2010.5598296
dblp:conf/green/ChenJHSS10
fatcat:gz3hajpenvc47c3hit3w2sneee
Using CPU gradients for performance-aware energy conservation in multitier systems
2011
Sustainable Computing: Informatics and Systems
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The approach uses a new set of metrics, the CPU gradients, that can be automatically measured on a running system using lightweight and nonintrusive CPU perturbations. ...
For the responsiveness-sensitive multitier applications running in today's data centers, queuing models should ideally be used to predict the impact of CPU scaling on response time, to allow appropriate ...
algorithm, and controllers we have developed for gradient-based energy conservation. ...
doi:10.1016/j.suscom.2011.02.002
fatcat:q7cnjm46yveypn2v22fqperktu
A Comparative Study of Techniques for Energy Predictive Modelling using Performance Monitoring Counters on Modern Multicore CPUs
2020
IEEE Access
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We also present an experimental methodology to select a reliable subset of four PMCs for constructing accurate application-specific online models. ...
The first type contains linear regression (LR) models employing PMCs selected using a theoretical model of energy of computing. ...
(DVFS), Dynamic Power Management (DPM) and energy-aware task scheduling. ...
doi:10.1109/access.2020.3013812
fatcat:2of6canmrjhhtear7u4ypepory
On the performance and energy-efficiency of multi-core SIMD CPUs and CUDA-enabled GPUs
2013
2013 IEEE International Symposium on Workload Characterization (IISWC)
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This paper explores the performance and energy efficiency of CUDA-enabled GPUs and multi-core SIMD CPUs using a set of kernels and full applications. ...
We discuss general optimization techniques for our CPU-only and CPU-GPU platforms. To fairly study performance and energy-efficiency, we also used two applications which utilize several kernels. ...
ACKNOWLEDGMENT We would like to thank the anonymous reviewers for their helpful suggestions. we would like to thank Jean-yves Hervé for his contributions. ...
doi:10.1109/iiswc.2013.6704683
dblp:conf/iiswc/DuarteSV13
fatcat:qs36ks5kezdrldp5zk3nstai2i
A Step towards Energy Efficient Computing: Redesigning a Hydrodynamic Application on CPU-GPU
2014
2014 IEEE 28th International Parallel and Distributed Processing Symposium
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Compared to the CPU-only solution, our GPU accelerated BLAST obtained a 2.5× overall speedup and 1.42× energy efficiency (greenup) for the high order method, and a 1.9× speedup and 1.27× greenup for the ...
Power and Energy consumption are becoming an increasing concern in high performance computing. Compared to multi-core CPUs, GPUs have a much better performance per watt. ...
The authors thank Barry Rountree for providing the CPU power graph. The authors would like to thank the NSF and NVIDIA for supporting. ...
doi:10.1109/ipdps.2014.103
dblp:conf/ipps/DongDKRTD14
fatcat:rw5m5v5sb5ds5fvhdn4a4zlnxi
Security Aspects in Smart Meters: Analysis and Prevention
2020
Sensors
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Nowadays, it is becoming more and more popular to buy and plug-and-play smart meters, additionally to those installed by the energy providers, to directly monitor the energy consumption at home. ...
On the one hand, we propose a network configuration and different data flows to exchange data (energy readings) in the home. ...
Time series are a very useful tool for analyzing energy readings since they reflect precisely the three typical aspects in energy consumption: seasonality (on a daily basis and on a seasonal basis) and ...
doi:10.3390/s20143977
pmid:32708983
pmcid:PMC7412105
fatcat:2jgtgcpiwbgkrkbkhtz53jx6pq
Mobile CPU's rise to power: Quantifying the impact of generational mobile CPU design trends on performance, energy, and user satisfaction
2016
2016 IEEE International Symposium on High Performance Computer Architecture (HPCA)
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As the limits of technology scaling restrict the ability of desktop-like scaling to continue for mobile CPUs, specialized accelerators appear to be a promising alternative that can help sustain the power ...
Specifically, we report measured performance, power, energy and user satisfaction trends across mobile CPU generations. ...
A promising approach is to make CPUs aware of, in order to adapt to, accelerators' execution characteristics. ...
doi:10.1109/hpca.2016.7446054
dblp:conf/hpca/HalpernZR16
fatcat:dcuenxqyljb4bpxijmotq4ugr4
Secure end-to-end processing of smart metering data
2019
Journal of Cloud Computing: Advances, Systems and Applications
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Nevertheless, using shared infrastructures also creates more opportunities for attacks and data breaches. In this paper, we describe the SecureCloud approach. ...
In addition, the project provides tools that help generating cloud-native, secure applications and services that can be deployed on potentially untrusted clouds. ...
We also thank the UCC Cloud Challenge 2018 organizers and the anonymous reviewers for their feedback. Open Access Funding by the Publication Fund of the TU Dresden. ...
doi:10.1186/s13677-019-0141-z
fatcat:jnshkzd3brc5jjclgccpffmn2u
A Data Analytics/Big Data Framework for Advanced Metering Infrastructure Data
2021
Sensors
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Our new view faces the challenges arriving in energy markets by adding a binding element that gives support for optimal and efficient decision-making. ...
This paper presents a Data Analytics/Big Data framework applied to AMI data as a tool to leverage the potential of this data within the applications in a Smart City. ...
Acknowledgments: The authors would like to thank the Perception and Intelligent Systems research group at Universidad del Valle and Argos group energy company CELSIA in Colombia, who give the financial ...
doi:10.3390/s21165650
pmid:34451092
pmcid:PMC8402541
fatcat:rmvztqmnxzcvdasulqbpjout4e
A Novel Approach for Detecting and Mitigating the Energy Theft Issues in the Smart Metering Infrastructure
2018
Technology and Economics of Smart Grids and Sustainable Energy
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Smart meters are intelligent, responsive energy meters deployed for measurement and communication of energy consumption by the end consumer. ...
detection algorithm, Meter Data Tampering Algorithm (MDTA) and we suggest inserting a one-way function, named as Unique String Authentication Procedure (USAP) into the smart meter which is also stored ...
The motivation here is to monetize the whole process of energy theft, selling of hardware or software tools to compromise smart meters, or even worse to cause cyber war. ...
doi:10.1007/s40866-018-0053-x
fatcat:agivqgn6hrabrlrwin4h2x3n7u
Revealing Household Characteristics from Electricity Meter Data with Grade Analysis and Machine Learning Algorithms
2018
Applied Sciences
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The approach was evaluated by analyzing smart meter data collected from 4182 households in Ireland over a period of 1.5 years. ...
The analysis outcome shows that revealing characteristics from smart meter data is feasible, and the proposed machine learning methods were yielding for an accuracy of approx. 90% and Area Under Receiver ...
These works contribute to higher energy awareness by providing the input for demand response systems in homes and supporting accurate usage forecasting on the household level [6] [7] [8] . ...
doi:10.3390/app8091654
fatcat:dl2kvaydtzahvbbgns7klit3vi
Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues
2019
IEEE Communications Surveys and Tutorials
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Based on the presented threats, we derive a set of security and privacy requirements for SG metering networks. ...
This survey paper shows a brief overview of real cyber attack incidents in traditional energy networks and those targeting the smart metering network. ...
For instance, a smart meter usually sends energy reports every 15/30 minutes periodically over wireless communication. ...
doi:10.1109/comst.2019.2899354
fatcat:67bz5glcfbbldpqagxmhvy2ssm
HeteroPar 2014, APCIE 2014, and TASUS 2014 Special Issue
2015
Concurrency and Computation
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computational environment relying only on a single power meter that measures the energy consumption of the whole system. ...
(energy, communication, etc.), programming models, and so on. the Twelfth International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (Heteropar 2014), the ...
doi:10.1002/cpe.3688
fatcat:odhph74osreurjif7y65xs6q7i
Jolinar: analysing the energy footprint of software applications (demo)
2016
Proceedings of the 25th International Symposium on Software Testing and Analysis - ISSTA 2016
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In this paper, we present Jolinar, a tool that bridges the gap between energy measurements and accessibility to software engineers and even end-users. ...
The tool builds on top of recent energy models to provide an accurate, light and easy-to-use interface for energy measurements. ...
For instance, some require a power meter in order to calibrate their models, or for runtime energy monitoring (PowerAPI, PowerSpy, JouleMeter). ...
doi:10.1145/2931037.2948706
dblp:conf/issta/NoureddineIB16
fatcat:bmd2mcpyybckxm3wynrhadpf7a
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