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Hayk Shoukourian
Observed names:
H. Shoukourian,
Shoukourian, Hayk
Institutions:
Bavarian Academy of Sciences and Humanities,
Leibniz Supercomputing Centre
Observed institutions:
Bavarian Academy of Sciences and Humanities,
Leibniz Supercomputing Centre,
Technical University of Munich,
Ludwig-Maximilians-Universität München
ORCID:
0000-0003-2454-2712
Observed ORCID:
0000-0003-2454-2712
OpenAlex ID:
A5066480933
The 4 Pillar Framework for energy efficient HPC data centers
2013
·
Torsten Wilde
, Axel Auweter
, et al.
·
Computer Science - Research and Development
·
48
PDF
Predicting the Energy and Power Consumption of Strong and Weak Scaling HPC Applications
2014
·
Hayk Shoukourian
, Torsten Wilde
, et al.
·
Supercomputing Frontiers and Innovations
·
33
PDF
Monitoring Power Data: A first step towards a unified energy efficiency evaluation toolset for HPC data centers
2014
·
Hayk Shoukourian
, Torsten Wilde
, et al.
·
Environmental Modelling & Software
·
30
Forecasting power-efficiency related key performance indicators for modern data centers using LSTMs
2020
·
Hayk Shoukourian
, Dieter Kranzlmüller
·
Future Generation Computer Systems
·
29
Using Machine Learning for Data Center Cooling Infrastructure Efficiency Prediction
2017
·
Hayk Shoukourian
, Torsten Wilde
, et al.
·
IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum
·
25
DWPE, a new data center energy-efficiency metric bridging the gap between infrastructure and workload
2014
·
Torsten Wilde
, Axel Auweter
, et al.
·
International Conference on High Performance Computing & Simulation (HPCS)
·
25
Analysis of the efficiency characteristics of the first High-Temperature Direct Liquid Cooled Petascale supercomputer and its cooling infrastructure
2017
·
Hayk Shoukourian
, Torsten Wilde
, et al.
·
Journal of Parallel and Distributed Computing
·
16
Power variation aware Configuration Adviser for scalable HPC schedulers
2015
·
Hayk Shoukourian
, Torsten Wilde
, et al.
·
International Conference on High Performance Computing & Simulation (HPCS)
·
16
Predicting energy consumption relevant indicators of strong scaling HPC applications for different compute resource configurations
2015
·
Hayk Shoukourian
, Torsten Wilde
, et al.
·
IEEE International Conference on High Performance Computing, Data, and Analytics
·
11
Taking Advantage of Node Power Variation in Homogenous HPC Systems to Save Energy
2015
·
Torsten Wilde
, Axel Auweter
, et al.
·
Lecture notes in computer science
·
9
Adviser for Energy Consumption Management: Green Energy Conservation
2015
·
Hayk Shoukourian
·
mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich)
·
8
PDF
Interference of billing and scheduling strategies for energy and cost savings in modern data centers
2019
·
Julian M. Kunkel
, Hayk Shoukourian
, et al.
·
Sustainable Computing Informatics and Systems
·
7
PDF
Increasing Data Center Energy Efficiency via Simulation and Optimization of Cooling Circuits - A Practical Approach
2015
·
Torsten Wilde
, Tanja Clees
, et al.
·
Lecture notes in computer science
·
4
SuperMUC - the First High-Temperature Direct Liquid Cooled Petascale Supercomputer Operated by LRZ
2019
·
Hayk Shoukourian
, Arndt Bode
, et al.
·
CRC Press eBooks
·
3
Cooling Circuit Simulation II: A Numerical Example
2017
·
Tanja Clees
, Nils Hornung
, et al.
·
Springer eBooks
·
3
PRACE Best Practice Guide 2020: Modern Processors
2020
·
Ole W. Saastad
, K. Kapanova
, et al.
·
Open Repository and Bibliography (University of Luxembourg)
·
2
PDF
Towards energy-efficient data center infrastructure – a holistic approach based on software for modeling, simulation, and (re)configuration of the energy network
2015
·
Torsten Wilde
, Tanja Cleesy
, et al.
·
1
HPC Infrastructures Workshop 2021
2021
·
Svensson, Gert
, Shoukourian, Hayk
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
PDF
HPC Infrastructures Workshop: 2020 Online Event
2021
·
Shoukourian, Hayk
, Weinberg, Volker
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Best Practice Guide - Modern Processors
2020
·
Saastad, Ole Widar
, Kapanova, Kristina
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Best Practice Guide - Application porting and code-optimization activities for European HPC systems
2020
·
Lührs, Sebastian
, Dick, Björn
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
PDF
D5.6: Extended best practice guide for prototypes and demonstrators
2019
·
Shoukourian, Hayk
·
Zenodo (CERN European Organization for Nuclear Research)
PDF
D5.5: Requirements of new user communities for the use of next generation computing systems evolving towards Exascale
2018
·
Shoukourian, Hayk
·
Zenodo (CERN European Organization for Nuclear Research)
PDF
D5.6: Best Practices for Prototype Planning and Evaluation
2017
·
Ott, Michael
, Wilde, Jeanette
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
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Works count:
28
Citation count:
270
H-index:
9
I10-index:
9
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