tag :: energy-efficiency

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3Energy-efficient and Error-resilient Iterative Solvers for Approximate Computing
A. Schöll, C. Braun, and H. Wunderlich. Proceedings of the 23rd IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS'17), page 237--239. (2017)
7 years ago by @clausbraun
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AxC
SimTech
approximate
computing
energy-efficiency
fault
monitoring
myown
quality
tolerance
AxCSimTechapproximatecomputingenergy-efficiencyfaultmonitoringmyownqualitytolerance
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1The READEX formalism for automatic tuning for energy efficiency
J. Schuchart, M. Gerndt, P. Kjeldsberg, M. Lysaght, D. Horak, L. Riha, A. Gocht, M. Sourouri, M. Kumaraswamy, A. Chowdhury and 11 other author(s). Computing, (2017)
8 years ago by @josephschuchart
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energy-efficiency
imported
myown
tools
tuning
energy-efficiencyimportedmyowntoolstuning
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2Run-Time Exploitation of Application Dynamism for Energy-Efficient Exascale Computing (READEX)
Y. Oleynik, M. Gerndt, J. Schuchart, P. Kjeldsberg, and W. Nagel. Computational Science and Engineering (CSE), 2015 IEEE 18th International Conference on, page 347-350. IEEE Computer Society, (October 2015)
8 years ago by @josephschuchart
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energy-efficiency
imported
myown
tools
energy-efficiencyimportedmyowntools
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1HDEEM: High Definition Energy Efficiency Monitoring
D. Hackenberg, T. Ilsche, J. Schuchart, R. Schöne, W. Nagel, M. Simon, and Y. Georgiou. Proceedings of the 2nd International Workshop on Energy Efficient Supercomputing, page 1-10. Piscataway, NJ, USA, IEEE Press, (2014)
8 years ago by @josephschuchart
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energy-efficiency
imported
myown
power-measurements
energy-efficiencyimportedmyownpower-measurements
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2Power Measurements for Compute Nodes: Improving Sampling Rates, Granularity and Accuracy
T. Ilsche, D. Hackenberg, S. Graul, R. Schöne, and J. Schuchart. Sixth International Green and Sustainable Conputing Conference (IGSC), (2015)
8 years ago by @josephschuchart
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energy-efficiency
imported
myown
power-measurements
energy-efficiencyimportedmyownpower-measurements
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2Analysis of Energy and Performance of PGAS-based Data Access Patterns
S. Jana, J. Schuchart, and B. Chapman. Proceedings of the 8th International Conference on Partitioned Global Address Space Programming Models, page 15:1-15:10. New York, NY, USA, ACM, (2014)
8 years ago by @josephschuchart
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PGAS
energy-efficiency
imported
myown
performance
PGASenergy-efficiencyimportedmyownperformance
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2The Shift from Processor Power Consumption to Performance Variations: Fundamental Implications at Scale
J. Schuchart, D. Hackenberg, R. Schöne, T. Ilsche, R. Nagappan, and M. Patterson. Proceedings of the 1st Workshop on Energy-Aware HPC (Ena-HPC), 31, page 197-205. (2016)
8 years ago by @josephschuchart
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energy-efficiency
haswell
imported
myown
energy-efficiencyhaswellimportedmyown
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2An Energy Efficiency Feature Survey of the Intel Haswell Processor
D. Hackenberg, R. Schöne, T. Ilsche, D. Molka, J. Schuchart, and R. Geyer. International Parallel and Distributed Processing Symposium Workshop (IPDPSW), page 896-904. IEEE Computer Society, (2015)
8 years ago by @josephschuchart
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energy-efficiency
haswell
imported
myown
energy-efficiencyhaswellimportedmyown
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4Monitoring in the Clouds: Comparison of ECO2Clouds and EXCESS Monitoring Approaches.
P. Skvortsov, D. Hoppe, A. Tenschert, and M. Gienger. HiPEAC, (2016)
9 years ago by @michaelgienger
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Cloud
Energy-Efficiency
HPC
monitoring
myown
CloudEnergy-EfficiencyHPCmonitoringmyown
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3EXCESS: Execution Models for Energy-Efficient Computing Systems
Y. Sandoval, D. Hoppe, D. Khabi, M. Gienger, C. Kessler, L. Li, U. Dastgeer, P. Ha, I. Umar, V. Tran and 4 other author(s). PODC, (2015)
9 years ago by @michaelgienger
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Analysis
Computing
EXCESS
Energy-Efficiency
Monitoring
Parallel
Performance
myown
AnalysisComputingEXCESSEnergy-EfficiencyMonitoringParallelPerformancemyown
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2ATOM: A Near-Real Time Monitoring Framework for HPC and Embedded Systems
D. Hoppe, Y. Sandoval, and M. Gienger. PODC, (2015)
9 years ago by @michaelgienger
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Analysis
EXCESS
Energy-Efficiency
Monitoring
Performance
Real-time
myown
AnalysisEXCESSEnergy-EfficiencyMonitoringPerformanceReal-timemyown
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4Eco-efficient Cloud Resource Monitoring and Analysis
A. Tenschert, P. Skvortsov, and M. Gienger. ICT4S, (2014)
9 years ago by @michaelgienger
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Clouds
Eco2Clouds
Energy-Efficiency
Monitoring
myown
CloudsEco2CloudsEnergy-EfficiencyMonitoringmyown
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2Cloud Federation Monitoring for an Improved Eco-Efficiency
A. Tenschert, and M. Gienger. eChallenges e-2013 Conference Proceedings, (2013)
9 years ago by @michaelgienger
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Clouds
Eco2Clouds
Energy-Efficiency
Federation
myown
CloudsEco2CloudsEnergy-EfficiencyFederationmyown
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3Monitoring and assessing energy consumption and CO2 emissions in cloud-based systems
C. Cappiello, S. Datre, M. Fugini, P. Melia, B. Pernici, P. Plebani, M. Gienger, and A. Tenschert. IEEE SMC, (2013)
9 years ago by @michaelgienger
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Clouds
Eco2Clouds
Energy-Efficiency
Federation
myown
CloudsEco2CloudsEnergy-EfficiencyFederationmyown
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1Improving Energy Efficiency in Data Centers and federated Cloud Environments
E. Volk, A. Tenschert, M. Gienger, A. Oleksiak, and L. Siso. EuroEcoDC, (2013)
9 years ago by @michaelgienger
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Clouds
CoolEmAll
Eco2Clouds
Energy-Efficiency
Federation
myown
CloudsCoolEmAllEco2CloudsEnergy-EfficiencyFederationmyown
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publications (hide)15
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3Energy-efficient and Error-resilient Iterative Solvers for Approximate Computing

1The READEX formalism for automatic tuning for energy efficiency

2Run-Time Exploitation of Application Dynamism for Energy-Efficient Exascale Computing (READEX)

1HDEEM: High Definition Energy Efficiency Monitoring

2Power Measurements for Compute Nodes: Improving Sampling Rates, Granularity and Accuracy

2Analysis of Energy and Performance of PGAS-based Data Access Patterns

2The Shift from Processor Power Consumption to Performance Variations: Fundamental Implications at Scale

2An Energy Efficiency Feature Survey of the Intel Haswell Processor

4Monitoring in the Clouds: Comparison of ECO2Clouds and EXCESS Monitoring Approaches.

3EXCESS: Execution Models for Energy-Efficient Computing Systems

2ATOM: A Near-Real Time Monitoring Framework for HPC and Embedded Systems

4Eco-efficient Cloud Resource Monitoring and Analysis

2Cloud Federation Monitoring for an Improved Eco-Efficiency

3Monitoring and assessing energy consumption and CO2 emissions in cloud-based systems

1Improving Energy Efficiency in Data Centers and federated Cloud Environments

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