Hayk Shoukourian

According to our database, Hayk Shoukourian authored at least 15 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Forecasting power-efficiency related key performance indicators for modern data centers using LSTMs.

Hayk Shoukourian, Dieter Kranzlmüller

Future Gener. Comput. Syst., 2020

2019

Interference of billing and scheduling strategies for energy and cost savings in modern data centers.

Julian M. Kunkel, Hayk Shoukourian, Mohammad Reza Heidari, Torsten Wilde

Sustain. Comput. Informatics Syst., 2019

2017

Analysis of the efficiency characteristics of the first High-Temperature Direct Liquid Cooled Petascale supercomputer and its cooling infrastructure.

Hayk Shoukourian, Torsten Wilde, Herbert Huber, Arndt Bode

J. Parallel Distributed Comput., 2017

Using Machine Learning for Data Center Cooling Infrastructure Efficiency Prediction.

Hayk Shoukourian, Torsten Wilde, Detlef Labrenz, Arndt Bode

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Cooling Circuit Simulation II: A Numerical Example.

Tanja Clees, Nils Hornung, Detlef Labrenz, Michael Schnell, Horst Schwichtenberg, Hayk Shoukourian, Inna Torgovitskaia, Torsten Wilde

Proceedings of the Scientific Computing and Algorithms in Industrial Simulations, 2017

2015

Adviser for Energy Consumption Management: Green Energy Conservation.

Hayk Shoukourian

PhD thesis, 2015

Taking Advantage of Node Power Variation in Homogenous HPC Systems to Save Energy.

Torsten Wilde, Axel Auweter, Hayk Shoukourian, Arndt Bode

Proceedings of the High Performance Computing - 30th International Conference, 2015

Predicting energy consumption relevant indicators of strong scaling HPC applications for different compute resource configurations.

Hayk Shoukourian, Torsten Wilde, Axel Auweter, Arndt Bode, Daniele Tafani

Proceedings of the Symposium on High Performance Computing, 2015

Power variation aware Configuration Adviser for scalable HPC schedulers.

Hayk Shoukourian, Torsten Wilde, Axel Auweter, Arndt Bode

Proceedings of the 2015 International Conference on High Performance Computing & Simulation, 2015

Towards energy-efficient data center infrastructure - a holistic approach based on software for modeling, simulation, and (re)configuration of the energy network.

Torsten Wilde, Tanja Clees, Horst Schwichtenberg, Hayk Shoukourian, Detlef Labrenz, Inna Torgovitskaia, Michael Schnell, Nils Hornung, Bernhard Klaassen, Eric Lluch Alvarez

Proceedings of the 29th International Conference on Environmental Informatics, 2015

Increasing Data Center Energy Efficiency via Simulation and Optimization of Cooling Circuits - A Practical Approach.

Torsten Wilde, Tanja Clees, Hayk Shoukourian, Nils Hornung, Michael Schnell, Inna Torgovitskaia, Eric Lluch Alvarez, Detlef Labrenz, Horst Schwichtenberg

Proceedings of the Energy Informatics, 2015

2014

Predicting the Energy and Power Consumption of Strong and Weak Scaling HPC Applications.

Hayk Shoukourian, Torsten Wilde, Axel Auweter, Arndt Bode

Supercomput. Front. Innov., 2014

The 4 Pillar Framework for energy efficient HPC data centers.

Torsten Wilde, Axel Auweter, Hayk Shoukourian

Comput. Sci. Res. Dev., 2014

Monitoring Power Data: A first step towards a unified energy efficiency evaluation toolset for HPC data centers.

Hayk Shoukourian, Torsten Wilde, Axel Auweter, Arndt Bode

Environ. Model. Softw., 2014

DWPE, a new data center energy-efficiency metric bridging the gap between infrastructure and workload.

Torsten Wilde, Axel Auweter, Michael K. Patterson, Hayk Shoukourian, Herbert Huber, Arndt Bode, Detlef Labrenz, Carlo Cavazzoni

Proceedings of the International Conference on High Performance Computing & Simulation, 2014