Energy-efficient and Error-resilient Iterative Solvers for Approximate Computing. Proceedings of the 23rd IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS'17), 237--239, 2017. [PUMA: AxC SimTech approximate computing energy-efficiency fault monitoring myown quality tolerance]
The READEX formalism for automatic tuning for energy efficiency. Computing, 1--19, 2017. [PUMA: energy-efficiency imported myown tools tuning] URL
Run-Time Exploitation of Application Dynamism for Energy-Efficient Exascale Computing (READEX). In Christian Plessl, Didier El Baz, Guojing Cong, João M. P. Cardoso, Luís Veiga, und Thomas Rauber (Hrsg.), Computational Science and Engineering (CSE), 2015 IEEE 18th International Conference on, 347-350, IEEE Computer Society, Oktober 2015. [PUMA: energy-efficiency imported myown tools] URL
HDEEM: High Definition Energy Efficiency Monitoring. Proceedings of the 2nd International Workshop on Energy Efficient Supercomputing, 1-10, IEEE Press, Piscataway, NJ, USA, 2014. [PUMA: energy-efficiency imported myown power-measurements] URL
Power Measurements for Compute Nodes: Improving Sampling Rates, Granularity and Accuracy. Sixth International Green and Sustainable Conputing Conference (IGSC), 1-8, 2015. [PUMA: energy-efficiency imported myown power-measurements] URL
Analysis of Energy and Performance of PGAS-based Data Access Patterns. In Allen D. Malony, und Jeff R. Hammond (Hrsg.), Proceedings of the 8th International Conference on Partitioned Global Address Space Programming Models, 15:1-15:10, ACM, New York, NY, USA, 2014. [PUMA: PGAS energy-efficiency imported myown performance] URL
The Shift from Processor Power Consumption to Performance Variations: Fundamental Implications at Scale. Proceedings of the 1st Workshop on Energy-Aware HPC (Ena-HPC), (31)4:197-205, 2016. [PUMA: energy-efficiency haswell imported myown] URL
An Energy Efficiency Feature Survey of the Intel Haswell Processor. International Parallel and Distributed Processing Symposium Workshop (IPDPSW), 896-904, IEEE Computer Society, 2015. [PUMA: energy-efficiency haswell imported myown] URL
Monitoring in the Clouds: Comparison of ECO2Clouds and EXCESS Monitoring Approaches.. HiPEAC, 2016. [PUMA: Cloud Energy-Efficiency HPC monitoring myown]
EXCESS: Execution Models for Energy-Efficient Computing Systems. PODC, (Energy Efficient Distributed and Parallel Computing)2015. [PUMA: Analysis Computing EXCESS Energy-Efficiency Monitoring Parallel Performance myown]
ATOM: A Near-Real Time Monitoring Framework for HPC and Embedded Systems. PODC, (Energy Efficient Distributed and Parallel Computing)2015. [PUMA: Analysis EXCESS Energy-Efficiency Monitoring Performance Real-time myown]
Eco-efficient Cloud Resource Monitoring and Analysis. ICT4S, 2014. [PUMA: Clouds Eco2Clouds Energy-Efficiency Monitoring myown]
Cloud Federation Monitoring for an Improved Eco-Efficiency. eChallenges e-2013 Conference Proceedings, Paul Cunningham and Miriam Cunningham, 2013. [PUMA: Clouds Eco2Clouds Energy-Efficiency Federation myown]
Monitoring and assessing energy consumption and CO2 emissions in cloud-based systems. IEEE SMC, 2013. [PUMA: Clouds Eco2Clouds Energy-Efficiency Federation myown]
Improving Energy Efficiency in Data Centers and federated Cloud Environments. EuroEcoDC, 2013. [PUMA: Clouds CoolEmAll Eco2Clouds Energy-Efficiency Federation myown]