S. E. Al, Dynamic voltage frequency scaling (DVFS) for microprocessors power and energy reduction, International Conference on Electrical and Electronics Engineering, 2005.

X. Mei, Q. Wang, and X. Chu, A survey and measurement study of GPU DVFS on energy conservation, Digital Communications and Networks, 2017.
DOI : 10.1016/j.dcan.2016.10.001

URL : https://doi.org/10.1016/j.dcan.2016.10.001

R. E. Al, Impact of Shutdown Techniques for Energy-Efficient Cloud Data Centers, ICA3PP, 2016.

A. Benoit, L. Lefèvre, A. Orgerie, and I. Rais, Reducing the energy consumption of large-scale computing systems through combined shutdown policies with multiple constraints, The International Journal of High Performance Computing Applications, vol.32, issue.1, 2017.
DOI : 10.1145/2463209.2488951

URL : https://hal.archives-ouvertes.fr/hal-01557025

G. E. Al, A scheduler-level incentive mechanism for energy efficiency in hpc, CCGrid, pp.617-626, 2015.

B. Speitkamp and M. Bichler, A Mathematical Programming Approach for Server Consolidation Problems in Virtualized Data Centers, IEEE Transactions on Services Computing, vol.3, issue.4, pp.266-278, 2010.
DOI : 10.1109/TSC.2010.25

Y. Li, A. Orgerie, and J. Menaud, Balancing the Use of Batteries and Opportunistic Scheduling Policies for Maximizing Renewable Energy Consumption in a Cloud Data Center, 2017 25th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP), 2017.
DOI : 10.1109/PDP.2017.24

URL : https://hal.archives-ouvertes.fr/hal-01432752

L. E. Al, Hybrid MPI/OpenMP power-aware computing, IPDPS, pp.1-12, 2010.

A. E. Al, Towards a Green and Sustainable Software, Concurrent Engineering, pp.471-480, 2015.

C. E. Al, Improving energy efficiency through parallelization and vectorization on intel core i5 and i7 processors, SCC, 2012.

J. Han and M. Orshansky, Approximate computing: An emerging paradigm for energy-efficient design, 2013 18TH IEEE EUROPEAN TEST SYMPOSIUM (ETS), 2013.
DOI : 10.1109/ETS.2013.6569370

B. E. Al, Designing autonomic management systems by using reactive control techniques, IEEE Transactions on Software Engineering, vol.42, issue.7, pp.640-657, 2016.

M. E. Al, A run-time system for power-constrained HPC applications, HiPC, pp.394-408, 2015.

J. E. Eastep, Global Extensible Open Power Manager: A Vehicle for HPC Community Collaboration on Co-Designed Energy Management Solutions, High Performance Computing, 2017.
DOI : 10.1145/1346281.1346289

O. E. Al, Run-time exploitation of application dynamism for energyefficient exascale computing (readex), Computational Science and Engineering (CSE), 2015 IEEE 18th International Conference on, 2015.

D. E. Al, OpenMP: an industry standard API for shared-memory programming, pp.46-55, 1998.

P. E. Al, MMX technology extension to the Intel architecture, IEEE micro, vol.16, issue.4, pp.42-50, 1996.

G. E. Al, Embedded Pentium (R) processor system design for Windows CE, Wescon/98, pp.114-123, 1998.

C. Lomont, Introduction to intel advanced vector extensions, pp.1-21, 2011.

R. E. Al, A Generic and Extensible Framework for Monitoring Energy Consumption of OpenStack Clouds, The 4th IEEE International Conference on Sustainable Computing and Communications, 2014.

D. E. Balouek, Adding Virtualization Capabilities to the Grid???5000 Testbed, Cloud Computing and Services Science, pp.3-20, 2013.
DOI : 10.1007/978-3-319-04519-1_1

URL : https://hal.archives-ouvertes.fr/hal-00946971

G. L. Chetsa, A User Friendly Phase Detection Methodology for HPC Systems' Analysis, 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, 2013.
DOI : 10.1109/GreenCom-iThings-CPSCom.2013.43

URL : https://hal.archives-ouvertes.fr/hal-00925299