Dtn based management framework for green on/off networks, RESCOM 2011 ,
URL : https://hal.archives-ouvertes.fr/hal-00795147
On applying dtns to a delay constrained scenario in wired networks, 14th International Symposium on Wireless Personal Multimedia Communications, pp.1-5, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00748069
Dnainspired scheme for building the energy profile of hpc systems, Proceedings of the First international conference on Energy Efficient Data Centers, pp.141-152, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00748070
A runtime framework for energy efficient hpc systems without a priori knowledge of applications, ICPADS 2012 : 18th International Conference on Parallel and Distributed Systems, pp.660-667, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00793685
Beyond cpu frequency scaling for a fine-grained energy control of hpc systems, SBAC- PAD 2012 : 24th International Symposium on Computer Architecture and High Performance Computing, pp.132-138 ,
URL : https://hal.archives-ouvertes.fr/hal-00752883
Energy efficiency in high-performance computing with and without knowledge of applications and services, pp.232-243, 2013. ,
Exploiting performance counters to predict and improve energy performance of HPC systems, Future Generation Computer Systems, vol.36 ,
DOI : 10.1016/j.future.2013.07.010
URL : https://hal.archives-ouvertes.fr/hal-00925306
A Three Step Blind Approach for Improving HPC Systems??? Energy Performance, EE-LSDS 2013 : Energy Efficiency in Large Scale Distributed Systems conference, p.6, 2013. ,
DOI : 10.1007/978-3-642-40517-4_15
URL : https://hal.archives-ouvertes.fr/hal-00925302
A user friendly phase detection methodology for hpc systems' analysis, GreenCom 2013 : The 2013 IEEE International Conference on Green Computing and Communications, p.6, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00925299
High-Performance Computing on Complex Environments, ch. Energy Aware Approaches for HPC Systems, 2014. ,
The nas parallel benchmarks, The International Journal of Supercomputer Applications, vol.36, issue.89, pp.31-49, 1991. ,
Memory hierarchy reconfiguration for energy and performance in general-purpose processor architectures, Proceedings of the 33rd annual ACM/IEEE international symposium on Microarchitecture, pp.245-257, 2000. ,
Evaluating and modeling power consumption of multi-core processors, Proceedings of the 3rd International Conference on Future Energy Systems Where Energy, Computing and Communication Meet, e-Energy '12, pp.1-10 ,
DOI : 10.1145/2208828.2208840
Abhishek Bhattacharjee and Margaret Martonosi Thread criticality predictors for dynamic performance, power, and resource management in chip multiprocessors, Proceedings of the 36th annual international symposium on Computer architecture, ISCA '09, pp.290-301, 2009. ,
Wolfgang Paul and Fathollah Varnik. Molecular dynamics simulations, Journal of Physics: Condensed Matter, vol.16, issue.5, p.429, 2004. ,
5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed, Int. J. High Perform. Comput. Appl, vol.20, issue.4, pp.481-494, 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-00684943
High-performance, power-aware distributed computing for scientific applications, Computer, vol.38, issue.11, pp.40-47, 2005. ,
DOI : 10.1109/MC.2005.380
Automatic phase detection of MPI applications, In: Proceedings of the 14th Conference on Parallel Computing Aachen and Juelich, p.19, 2007. ,
Fine-grained dynamic voltage and frequency scaling for precise energy and performance tradeoff based on the ratio of off-chip access to on-chip computation times, 2006. ,
Parallel genehunter: Implementation of a linkage analysis package for distributed-memory architectures, Proceedings of the First IEEE Workshop on High Performance Computational Biology, International Parallel and Distributed Computing Symposium, p.69, 2002. ,
Georges Da Costa and Helmut Hlavacs. Methodology of measurement for energy consumption of applications, GRID, pp.290-297, 2010. ,
Dynamic microarchitecture adaptation via co-designed virtual machines.I nI n t l .S o l i d - State Circuits Conference, Digest of Technical Papers, ISSCC '02, pp.198-199, 2002. ,
Managing multi-configuration hardware via dynamic working set analysis.I n, Proceedings of the 29th annual international symposium on Computer architecture , ISCA '02, pp.233-244, 2002. ,
DOI : 10.1145/545214.545241
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.73.8775
The Green Grid5000: Instrumenting aG r i dw i t hE n e r g yS e n s o r s, 5th International Workshop on Distributed Cooperative Laboratories: Instrumenting the Grid, 2010. ,
Dimitris Economou, Suzanne Rivoire and Christos Kozyrakis. Full-system power analysis and modeling for server environments, Workshop on Modeling Benchmarking and Simulation (MOBS), 2006. ,
Using multiple energy gears in MPI programs on a power-scalable cluster, Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming, PPoPP '05, pp.164-173, 2005. ,
Detection and Analysis of Iterative Behavior in Parallel Applications, ICCS Lecture Notes in Computer Science, vol.5103, issue.3, pp.261-267, 2008. ,
DOI : 10.1007/978-3-540-69389-5_30
Rong Performanceconstrained Distributed DVS Scheduling for Scientific Applications on Poweraware Clusters, Proceedings of the 2005 ACM/IEEE conference on Supercomputing , SC '05, p.34, 2005. ,
Rong CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters, ICPP, page 18, pp.18-61, 2007. ,
Managing energy consumption costs in desktop PCs and LAN switches with proxying, split TCP connections, and scaling of link speed, International Journal of Network Management, vol.2, issue.5, pp.297-310, 2005. ,
DOI : 10.1002/nem.565
The elements of statistical learning, 2001. ,
Positional adaptation of processors: application to energy reduction, Proceedings of the 30th annual international symposium on Computer architecture, ISCA '03, pp.157-168, 2003. ,
Identifying program power phase behavior using power vectors, 2003 IEEE International Conference on Communications (Cat. No.03CH37441), pp.108-118, 2003. ,
DOI : 10.1109/WWC.2003.1249062
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.2756
Runtime power monitoring in high-end processors: methodology and empirical data, 22nd Digital Avionics Systems Conference. Proceedings (Cat. No.03CH37449), p.93, 2003. ,
DOI : 10.1109/MICRO.2003.1253186
Live, Runtime Phase Monitoring and Prediction on Real Systems with Application to Dynamic Power Management, 2006 39th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO'06), pp.359-370, 2006. ,
DOI : 10.1109/MICRO.2006.30
Run-time power estimation in high performance microprocessors, Proceedings of the 2001 international symposium on Low power electronics and design , ISLPED '01, pp.135-140, 2001. ,
DOI : 10.1145/383082.383119
vEC, Proceedings of the 2001 ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering , PASTE '01, pp.28-31, 2001. ,
DOI : 10.1145/379605.379639
Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save Energy in MPI Programs, ACM/IEEE SC 2005 Conference (SC'05), pp.33-33, 2005. ,
DOI : 10.1109/SC.2005.39
Power-aware provisioning of Cloud resources for real-time services.I nP r o ceedings of the 7th International Workshop on Middleware for Grids, Clouds and e-Science, MGC '09, pp.1-1, 2009. ,
Emprical study on Reducing Energy of Parallel Programs using Slack Reclamation by DVFS in a Power-scalable High Performance Cluster, 2006 IEEE International Conference on Cluster Computing, 2006. ,
DOI : 10.1109/CLUSTR.2006.311839
Runtime Energy Adaptation with Low-Impact Instrumented Code in a Power- Scalable Cluster System, Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, CCGRID '10, pp.378-387, 2010. ,
Runtime energy consumption estimation for server workloads based on chaotic time-series approximation, ACM Transactions on Architecture and Code Optimization, vol.9, issue.3, pp.1-15, 2012. ,
DOI : 10.1145/2355585.2355588
Adaptive, Transparent Frequency and Voltage Scaling of Communication Phases in MPI Programs, ACM/IEEE SC 2006 Conference (SC'06), pp.27-39, 2006. ,
DOI : 10.1109/SC.2006.11
A survey of the research on power management techniques for high-performance systems, Software: Practice and Experience, vol.32, issue.3, pp.943-964, 2010. ,
DOI : 10.1002/spe.952
Energy and performance characteristics of different parallel implementations of scientific applications on multicore systems, International Journal of High Performance Computing Applications, vol.25, issue.3, pp.342-350, 2011. ,
DOI : 10.1177/1094342011414749
Foundation of electronics: Circuits and devices, Thomson Delmar Learning, 2003. ,
Balancing Power Consumption in Multiprocessor Systems, First ACM SIGOPS EuroSys Conference, 2006. ,
Energy efficient Ethernet standard gains traction, E E Times, 2013. ,
Using SimPoint for accurate and efficient simulation, Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems, SIGMETRICS '03, pp.318-319, 2003. ,
Paruj Ratanaworabhan and Martin Burtscher Program Phase Detection based on Critical Basic Block Transitions, Proceedings of the ISPASS 2008 -IEEE International Symposium on Performance Analysis of Systems and software, ISPASS '08, pp.11-21, 2008. ,
Energy-efficient application-aware online provisioning for virtualized clouds and data centers, International Conference on Green Computing, pp.31-45, 2010. ,
DOI : 10.1109/GREENCOMP.2010.5598283
Adagio, Proceedings of the 23rd international conference on Conference on Supercomputing, ICS '09, pp.460-469, 2009. ,
DOI : 10.1145/1542275.1542340
Efficient software-based online phase classification, 2011 IEEE International Symposium on Workload Characterization (IISWC), pp.104-115, 2011. ,
DOI : 10.1109/IISWC.2011.6114207
Phase behavior in serial and parallel applications, IISWC, pp.47-58 ,
Basic block distribution analysis to find periodic behavior and simulation points in applications, Proceedings 2001 International Conference on Parallel Architectures and Compilation Techniques, pp.3-14, 2001. ,
DOI : 10.1109/PACT.2001.953283
Automatically characterizing large scale program behavior, ACM SIGARCH Computer Architecture News, vol.30, issue.5, pp.45-57, 2002. ,
DOI : 10.1145/635506.605403
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.118.6150
Phase tracking and prediction, Proceedings of the 30th annual international symposium on Computer architecture, ISCA '03, pp.336-349, 2003. ,
DOI : 10.1109/isca.2003.1207012
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.3639
Real time power estimation and thread scheduling via performance counters, ACM SIGARCH Computer Architecture News, vol.37, issue.2, pp.46-55, 2009. ,
DOI : 10.1145/1577129.1577137
Ad e s c r i p t i o no ft h ea d v a n c e dr e s e a r c h WRF version 2, NCAR Tech Note, vol.80, issue.87, p.42, 2005. ,
Green governors: A framework for Continuously Adaptive DVFS, 2011 International Green Computing Conference and Workshops, pp.1-8, 2011. ,
DOI : 10.1109/IGCC.2011.6008552
Power- Sleuth: A Tool for Investigating Your Program's Power Behavior.I nM o d eling, 2012 IEEE 20th International Symposium on, pp.241-250 ,
Beyond CPU Frequency Scaling Bibliography for a Fine-grained Energy Control of HPC Systems, SBAC-PAD 2012 : 24th International Symposium on Computer Architecture and High Performance Computing, pp.132-138 ,
DNA-inspired scheme for building the energy profile of HPC systems, Proceedings of the First international conference on Energy Efficient Data Centers, E2DC'12, pp.141-152, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00748070
Ar u n t i m ef r a m e w o r kf o re n e r g y efficient HPC systems without a priori knowledge of applications, ICPADS 2012 : 18th International Conference on Parallel and Distributed Systems, pp.660-667, 2012. ,
Exploiting performance counters to predict and improve energy performance of HPC systems, Future Generation Computer Systems, vol.36, p.2013 ,
DOI : 10.1016/j.future.2013.07.010
URL : https://hal.archives-ouvertes.fr/hal-00925306
AU s e rF r i e n dl yP h a s eD e t e c t i o n Methodology for HPC Systems' Analysis, GreenCom 2013 : The 2013 IEEE International Conference on Green Computing and Communications, p.6, 2013. ,
AT h r e eS t e pB l i n dA p p r o a c hf o rI m p r o v i n gH P CS y s t e m s 'E n e r g yP e r f o r mance, EE-LSDS 2013 : Energy Efficiency in Large Scale Distributed Systems conference, 2013. ,
Younge and Xi He. Power-aware scheduling of virtual machines in DVFS-enabled clusters.I n Cluster Computing and Workshops, CLUSTER '09. IEEE International Conference on, pp.1-10, 2009. ,
Linux perf_event Features and Overhead.I n The 2nd International Workshop on Performance Analysis of Workload Optimized Systems, p.2013, 2013. ,
The POWER2 performance monitor, IBM Journal of Research and Development, vol.38, issue.5, pp.545-554, 1994. ,
DOI : 10.1147/rd.385.0545
Principles of cmos vlsi design: a systems perspective, 1985. ,
Phase detection using trace compilation, Proceedings of the 7th International Conference on Principles and Practice of Programming in Java, PPPJ '09, pp.172-181, 2009. ,
DOI : 10.1145/1596655.1596683