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2020 – today
- 2020
[j6]Hayk Shoukourian, Dieter Kranzlmüller:
Forecasting power-efficiency related key performance indicators for modern data centers using LSTMs. Future Gener. Comput. Syst. 112: 362-382 (2020)
2010 – 2019
- 2019
- [j5]Julian M. Kunkel
, Hayk Shoukourian, Mohammad Reza Heidari, Torsten Wilde:
Interference of billing and scheduling strategies for energy and cost savings in modern data centers. Sustain. Comput. Informatics Syst. 23: 49-66 (2019) - 2017
- [j4]Hayk Shoukourian, Torsten Wilde, Herbert Huber, Arndt Bode:
Analysis of the efficiency characteristics of the first High-Temperature Direct Liquid Cooled Petascale supercomputer and its cooling infrastructure. J. Parallel Distributed Comput. 107: 87-100 (2017) - [c7]Hayk Shoukourian, Torsten Wilde, Detlef Labrenz, Arndt Bode:
Using Machine Learning for Data Center Cooling Infrastructure Efficiency Prediction. IPDPS Workshops 2017: 954-963 - [p1]Tanja Clees, Nils Hornung, Detlef Labrenz, Michael Schnell, Horst Schwichtenberg, Hayk Shoukourian, Inna Torgovitskaia, Torsten Wilde:
Cooling Circuit Simulation II: A Numerical Example. Scientific Computing and Algorithms in Industrial Simulations 2017: 153-180 - 2015
- [b1]Hayk Shoukourian:
Adviser for Energy Consumption Management: Green Energy Conservation. Technical University Munich, 2015 - [c6]Torsten Wilde, Tanja Clees, Hayk Shoukourian, Nils Hornung, Michael Schnell, Inna Torgovitskaia, Eric Lluch Alvarez, Detlef Labrenz, Horst Schwichtenberg:
Increasing Data Center Energy Efficiency via Simulation and Optimization of Cooling Circuits - A Practical Approach. D-A-CH EI 2015: 208-221 - [c5]Torsten Wilde, Tanja Clees, Horst Schwichtenberg, Hayk Shoukourian, Detlef Labrenz, Inna Torgovitskaia, Michael Schnell, Nils Hornung, Bernhard Klaassen, Eric Lluch Alvarez:
Towards energy-efficient data center infrastructure - a holistic approach based on software for modeling, simulation, and (re)configuration of the energy network. EnviroInfo/ICT4S (2) 2015: 245-246 - [c4]Hayk Shoukourian, Torsten Wilde, Axel Auweter, Arndt Bode:
Power variation aware Configuration Adviser for scalable HPC schedulers. HPCS 2015: 71-79 - [c3]Hayk Shoukourian, Torsten Wilde, Axel Auweter, Arndt Bode, Daniele Tafani:
Predicting energy consumption relevant indicators of strong scaling HPC applications for different compute resource configurations. SpringSim (HPS) 2015: 115-126 - [c2]Torsten Wilde, Axel Auweter, Hayk Shoukourian, Arndt Bode:
Taking Advantage of Node Power Variation in Homogenous HPC Systems to Save Energy. ISC 2015: 376-393 - 2014
- [j3]Hayk Shoukourian, Torsten Wilde, Axel Auweter, Arndt Bode:
Monitoring Power Data: A first step towards a unified energy efficiency evaluation toolset for HPC data centers. Environ. Model. Softw. 56: 13-26 (2014) - [j2]Torsten Wilde, Axel Auweter, Hayk Shoukourian:
The 4 Pillar Framework for energy efficient HPC data centers. Comput. Sci. Res. Dev. 29(3-4): 241-251 (2014) - [j1]Hayk Shoukourian, Torsten Wilde, Axel Auweter, Arndt Bode:
Predicting the Energy and Power Consumption of Strong and Weak Scaling HPC Applications. Supercomput. Front. Innov. 1(2): 20-41 (2014) - [c1]Torsten Wilde, Axel Auweter, Michael K. Patterson, Hayk Shoukourian, Herbert Huber, Arndt Bode, Detlef Labrenz, Carlo Cavazzoni:
DWPE, a new data center energy-efficiency metric bridging the gap between infrastructure and workload. HPCS 2014: 893-901
Coauthor Index
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