}
-@inproceedings{3,
+@inproceedings{Rauber_Analytical.Modeling.for.Energy,
author = {Rauber, Thomas and R\"{u}nger, Gudula},
title = {Analytical Modeling and Simulation of the Energy Consumption of Independent Tasks},
booktitle = {Proceedings of the Winter Simulation Conference},
}
-@INPROCEEDINGS{8,
+@INPROCEEDINGS{Rountree_Bounding.energy.consumption.in.MPI,
author={Rountree, B. and Lowenthal, D.K. and Funk, S. and Freeh, Vincent W. and De Supinski, B.R. and Schulz, M.},
booktitle={Supercomputing, 2007. SC '07. Proceedings of the 2007 ACM/IEEE Conference on},
title={Bounding energy consumption in large-scale {MPI} programs},
year={2007},
-month={November},
+month=nov,
pages={1-9},
keywords={Clustering algorithms;Delay effects;Dynamic voltage scaling;Energy consumption;Frequency;Government;Laboratories;Large-scale systems;Linear programming;Processor scheduling},
doi={10.1145/1362622.1362688}
}
-@phdthesis {9,
+@phdthesis {Malkowski_energy.efficient.high.performance.computing,
author = "Malkowski, Konrad",
title = "Co-adapting scientific applications and architectures toward energy-efficient high performance computing",
school = "The Pennsylvania State University",
booktitle={Power and Timing Modeling, Optimization and Simulation (PATMOS), 2013 23rd International Workshop on},
title={Crown scheduling: Energy-efficient resource allocation, mapping and discrete frequency scaling for collections of malleable streaming tasks},
year={2013},
-month={Sept},
+month=sep,
pages={215-222},
keywords={cores;microprocessor chips;optimisation;power consumption;resource allocation;scaling circuits;scheduling;ILP;crown scheduling;data flows;discrete voltage-frequency scaling;dynamic discrete frequency scaling;dynamic rescaling;energy-efficient resource allocation;energy-optimal code;integer linear programming;malleable streaming tasks;many-core processor;mapping;optimization;pipelined task graph;power consumption;processor cores;streaming task collections;Dynamic scheduling;Optimization;Processor scheduling;Radio spectrum management;Resource management;Schedules},
doi={10.1109/PATMOS.2013.6662176}
booktitle={IEEE Cluster Computing, 2006},
title={Emprical study on Reducing Energy of Parallel Programs using Slack Reclamation by {DVFS} in a Power-scalable High Performance Cluster},
year={2006},
-month={Sept},
+month=sep,
pages={1-10},
keywords={directed graphs;parallel programming;power aware computing;AMD Turion;PC clusters;PowerWatch;Transmeta Crusoe;control library;directed acyclic task graph;dynamic voltage scaling;energy consumption;energy reduction;frequency scaling;high performance computing;microprocessors;parallel programs;power consumption;power monitoring tools;slack reclamation;Clustering algorithms;Concurrent computing;Dynamic voltage scaling;Energy consumption;Energy efficiency;Frequency synchronization;Gears;Libraries;Microprocessors;Monitoring},
doi={10.1109/CLUSTR.2006.311839},
booktitle={Cluster Computing and the Grid, 2009. CCGRID '09. 9th IEEE/ACM International Symposium on},
title={Energy-Efficient Cluster Computing via Accurate Workload Characterization},
year={2009},
-month={May},
+month=may,
pages={68-75},
keywords={parallel processing;power aware computing;workstation clusters;cluster computer;eco-friendly daemon;energy consumption reduction;energy-efficient cluster computing;power consumption reduction;processor stall cycles;workload characterization;Application software;Clustering algorithms;Energy consumption;Energy efficiency;Frequency;Grid computing;Hardware;High performance computing;Runtime;Voltage},
doi={10.1109/CCGRID.2009.88}
}
-@article{15,
+@article{Zhuo_Energy.efficient.Dynamic.Task.Scheduling,
author = {Zhuo, Jianli and Chakrabarti, Chaitali},
title = {Energy-efficient Dynamic Task Scheduling Algorithms for DVS Systems},
journal = {ACM Trans. Embed. Comput. Syst.},
address = {Washington, DC, USA}
}
-@inproceedings{17,
+@inproceedings{Freeh_Exploring.the.Energy.Time.Tradeoff,
author = {Freeh, Vincent W. and Pan, Feng and Kappiah, Nandini and Lowenthal, David K. and Springer, Rob},
title = {Exploring the Energy-Time Tradeoff in {MPI} Programs on a Power-Scalable Cluster},
booktitle = {Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01},
series = {IPDPS '05},
year = {2005},
isbn = {0-7695-2312-9},
- pages = {4.1--},
+ pages = {4a-4a},
doi = {10.1109/IPDPS.2005.214},
acmid = {1054466},
publisher = {IEEE Computer Society},
booktitle={Parallel Distributed Processing (IPDPS), 2010 IEEE International Symposium on},
title={Hybrid MPI/OpenMP power-aware computing},
year={2010},
-month={April},
+month=apr,
pages={1-12},
keywords={message passing;parallel algorithms;power aware computing;HPC environment;dynamic concurrency throttling;dynamic voltage-and-frequency scaling;high performance computing;hybrid MPI-OpenMP computing;hybrid programming models;large-scale distributed systems;message passing interface;parallel programs;power-aware computing;power-aware performance prediction model;Concurrent computing;Discrete cosine transforms;Dynamic programming;Dynamic voltage scaling;Frequency;Heuristic algorithms;Large-scale systems;Multicore processing;Power system modeling;Predictive models;MPI;OpenMP;performance modeling;power-aware high -performance computing},
doi={10.1109/IPDPS.2010.5470463},
}
-@inproceedings{19,
+@inproceedings{Hao_Learning.based.DVFS,
author = {Hao Shen and
Jun Lu and
Qinru Qiu},
keywords = {benchmarking, dynamic voltage frequency scaling, energy optimization, high performance computing, memory latency}
}
-@article{26,
+@article{Rizvandi_Some.Observations.on.Optimal.Frequency,
author = {Rizvandi, Nikzad Babaii and Taheri, Javid and Zomaya, Albert Y.},
title = {Some Observations on Optimal Frequency Selection in {DVFS}-based Energy Consumption Minimization},
journal = {J. Parallel Distrib. Comput.},
booktitle={Quality Electronic Design, 2007. ISQED '07. 8th International Symposium on},
title={Thermal vs Energy Optimization for {DVFS}-Enabled Processors in Embedded Systems},
year={2007},
-month={March},
+month=mar,
pages={204-209},
keywords={circuit optimisation;embedded systems;integrated circuit design;low-power electronics;microprocessor chips;nonlinear programming;thermal management (packaging);DVFS-enabled processors;application peak temperature;cooling costs;dynamic voltage voltage;embedded systems;energy consumption;frequency scaling;nonlinear programming;power optimization;run-time thermal emergencies;system thermal profile;thermal optimization;thermal-constrained energy optimization;Cooling;Cost function;Design optimization;Dynamic voltage scaling;Embedded system;Energy consumption;Frequency;Power system planning;Runtime;Temperature},
doi={10.1109/ISQED.2007.158}
booktitle={Low Power Electronics and Design, 2005. ISLPED '05. Proceedings of the 2005 International Symposium on},
title={Bounds on power savings using runtime dynamic voltage scaling: an exact algorithm and a linear-time heuristic approximation},
year={2005},
-month={Aug},
+month=aug,
pages={287-292},
keywords={approximation theory;energy conservation;low-power electronics;power consumption;power supply circuits;DVFS policy;discrete voltage/frequency voltage level;dynamic voltage scaling;dynamic voltage/frequency scaling;energy reduction technique;exponential algorithm;linear-time heuristic approximation;power reduction technique;switching cost;Approximation algorithms;Costs;Dynamic voltage scaling;Energy consumption;Frequency;Linear approximation;Power system modeling;Runtime;Semiconductor device modeling;Upper bound},
doi={10.1109/LPE.2005.195529}
booktitle={Cluster, Cloud and Grid Computing (CCGrid), 2010 10th IEEE/ACM International Conference on},
title={Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks in a Cluster with {DVFS}},
year={2010},
-month={May},
+month=may,
pages={368-377},
keywords={environmental factors;parallel processing;power aware computing;scheduling;workstation clusters;dynamic voltage frequency scaling technique;energy aware scheduling heuristics;green service level agreement;high end computing;precedence constrained parallel tasks;Computational modeling;Concurrent computing;Costs;Dynamic voltage scaling;Energy consumption;Frequency;Grid computing;High performance computing;Power engineering computing;Processor scheduling;Cluster Computing;Green Computing;Task Scheduling},
doi={10.1109/CCGRID.2010.19}
booktitle={Supercomputing, 2005. Proceedings of the ACM/IEEE SC 2005 Conference},
title={Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save Energy in {MPI} Programs},
year={2005},
-month={Nov},
+month=nov,
pages={33-33},
keywords={Computer science;Dynamic voltage scaling;Energy consumption;Energy efficiency;Frequency;Gears;Jitter;Microprocessors;Performance loss;Permission},
doi={10.1109/SC.2005.39}
}
-@article{36,
+@article{Kim_Leakage.Current.Moore.Law,
author = {Kim, Nam Sung and Austin, Todd and Blaauw, David and Mudge, Trevor and Flautner, Kriszti\'{a}n and Hu, Jie S. and Irwin, Mary Jane and Kandemir, Mahmut and Narayanan, Vijaykrishnan},
title = {Leakage Current: Moore's Law Meets Static Power},
journal = {Computer},
address = {Los Alamitos, CA, USA}
}
-@inproceedings{37,
+@inproceedings{Le_DVFS.Laws.of.Diminishing.Returns,
author = {Le Sueur, Etienne and Gernot Heiser},
- month = {October},
+ month = oct,
year = {2010},
title = {Dynamic Voltage and Frequency Scaling: The Laws of Diminishing Returns},
booktitle = {Proceedings of the 2010 Workshop on Power Aware Computing and Systems (HotPower'10)},
- address = {Vancouver, Canada}
+ NOaddress = {Vancouver, Canada}
}
-@inproceedings{38,
+@inproceedings{Cochran_Pack_and_Cap_Adaptive_DVFS,
author = {Cochran, Ryan and Hankendi, Can and Coskun, Ayse K. and Reda, Sherief},
title = {Pack \& Cap: Adaptive {DVFS} and Thread Packing Under Power Caps},
booktitle = {Proceedings of the 44th Annual IEEE/ACM International Symposium on Microarchitecture},
booktitle={Low Power Electronics and Design (ISLPED), 2007 ACM/IEEE International Symposium on},
title={Dynamic voltage frequency scaling for multi-tasking systems using online learning},
year={2007},
-month={Aug},
+month=aug,
pages={207-212},
keywords={Linux;computer aided instruction;multiprogramming;power aware computing;program compilers;system monitoring;Intel PXA27x;Linux 2.6.9;dynamic voltage frequency scaling;multitasking systems;online learning;processors runtime statistics;Batteries;Computer applications;Delay;Dynamic voltage scaling;Embedded system;Energy consumption;Frequency estimation;Linux;Power engineering computing;Statistics;dynamic voltage frequency scaling;online learning},
doi={10.1145/1283780.1283825}
address = {Washington, DC, USA}
}
-@ARTICLE{42,
+@ARTICLE{Dhiman_Online.Learning.Power.Management,
author={Dhiman, G. and Rosing, T.S.},
journal={Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on},
title={System-Level Power Management Using Online Learning},
year={2009},
-month={May},
+month=may,
volume={28},
number={5},
pages={676-689},
ISSN={0278-0070}
}
-@MISC{43,
+@MISC{TOP500_Supercomputers_Sites,
title = {{TOP500 Supercomputers Sites}},
url = {http://www.top500.org}
}
url = {http://simgrid.org}
}
-@MISC{44,
+@MISC{NAS.Parallel.Benchmarks,
author = {{NASA Advanced Supercomputing Division}},
title = {{NAS} Parallel Benchmarks},
url = {http://www.nas.nasa.gov/publications/npb.html},
}
-@INPROCEEDINGS{45,
+@INPROCEEDINGS{Our_first_paper,
author = {Jean-Claude Charr and Rapha{\"e}l Couturier and
Ahmed Fanfakh and Arnaud Giersch},
title = {Dynamic Frequency Scaling for Energy Consumption
- Reduction in Distributed MPI Programs},
+ Reduction in Distributed {MPI} Programs},
booktitle = {{ISPA} 2014: 12th IEEE International Symposium on
Parallel and Distributed Processing with
Applications},
year = {2014},
- month = {Aug},
+ month = aug,
pages = {225--230},
publisher = {IEEE Computer Society},
address = {Milan, Italy}
pdf = {http://hal.inria.fr/docs/01/05/75/41/PDF/simgrid3-journal.pdf}
}
-@article{46,
- author = {Zhuo, Jianli and Chakrabarti, Chaitali},
- title = {Energy-efficient Dynamic Task Scheduling Algorithms for DVS Systems},
- journal = {ACM Trans. Embed. Comput. Syst.},
- issue_date = {February 2008},
- volume = {7},
- number = {2},
- month = jan,
- year = {2008},
- issn = {1539-9087},
- pages = {17:1--17:25},
- articleno = {17},
- numpages = {25},
- url = {http://doi.acm.org/10.1145/1331331.1331341},
- doi = {10.1145/1331331.1331341},
- acmid = {1331341},
- publisher = {ACM},
- address = {New York, NY, USA},
- keywords = {DVS system, Dynamic task scheduling, energy minimization, optimal scaling factor, real time}
-}
@MISC{47,
title = {Intel microprocessor export compliance metrics},
file = {a548738.pdf:files/30/a548738.pdf:application/pdf}
}
-@INPROCEEDINGS{49,
+@INPROCEEDINGS{KaiMa_Holistic.Approach.to.Energy.Efficiency.in.GPU-CPU,
author={Kai Ma and Xue Li and Wei Chen and Chi Zhang and Xiaorui Wang},
booktitle={Parallel Processing (ICPP), 2012 41st International Conference on},
title={GreenGPU: A Holistic Approach to Energy Efficiency in GPU-CPU Heterogeneous Architectures},
year={2012},
-month={Sept},
+month=sep,
pages={48-57},
keywords={energy consumption;graphics processing units;parallel architectures;AMD Phenom II CPU;CUDA framework;GPU-CPU heterogeneous architectures;GreenGPU;Nvidia GeForce GPU;energy consumption;energy efficiency;high performance computing;holistic approach;Algorithm design and analysis;Computer architecture;Frequency conversion;Graphics processing unit;Green products;Heuristic algorithms;Time frequency analysis;GPU;dynamic frequency scaling;energy efficiency;workload division},
doi={10.1109/ICPP.2012.31},
-@INPROCEEDINGS{50,
+@INPROCEEDINGS{Rong_Effects.of.DVFS.on.K20.GPU,
author={Rong Ge and Vogt, R. and Majumder, J. and Alam, A. and Burtscher, M. and Ziliang Zong},
booktitle={Parallel Processing (ICPP), 2013 42nd International Conference on},
title={Effects of Dynamic Voltage and Frequency Scaling on a K20 GPU},
year={2013},
-month={Oct},
+month=oct,
pages={826-833},
keywords={energy conservation;graphics processing units;parallel processing;power aware computing;power consumption;DVFS schedulers;GPU computing;K20 GPU;Nvidia K20c Kepler GPU;application performance;compute-bound high-performance workloads;dual Intel Sandy Bridge CPU;dynamic voltage and frequency scaling;energy efficiency;high-throughput workloads;power consumption;power-aware heterogeneous system;Benchmark testing;Computer architecture;Energy consumption;Graphics processing units;Market research;Measurement;Power demand;DVFS in GPU Computing;Dynamic Voltage and Frequency Scaling;Energy-Efficient Computing},
doi={10.1109/ICPP.2013.98},
}
-@techreport{51,
+@techreport{Luley_Energy.efficiency.evaluation.and.benchmarking,
title = {Energy efficiency evaluation and benchmarking of {AFRL}'s Condor high performance computer},
urldate = {2014-10-16},
institution = {{DTIC} Document},
author = {Luley, Ryan and Usmail, Courtney and Barnell, Mark},
year = {2011},
- file = {a548738.pdf:files/30/a548738.pdf:application/pdf}
+
}
-@INPROCEEDINGS{52,
+@INPROCEEDINGS{Naveen_Power.Efficient.Resource.Scaling,
author = {Naveen Muralimanohar and Karthik Ramani and Rajeev Balasubramonian},
title = {Power Efficient Resource Scaling in Partitioned Architectures through Dynamic Heterogeneity},
booktitle = {In Proceedings of ISPASS},
year = {2006}
}
-@article{53,
+@article{Lizhe_Energy.aware.parallel.task.scheduling,
title = "Energy-aware parallel task scheduling in a cluster ",
journal = "Future Generation Computer Systems ",
volume = "29",
year = "2013",
issn = "0167-739X",
doi = "http://dx.doi.org/10.1016/j.future.2013.02.010",
-url = "http://www.sciencedirect.com/science/article/pii/S0167739X13000484",
author = {Lizhe Wang and Samee U. Khan and Dan Chen and Joanna Kołodziej and Rajiv Ranjan and Cheng-zhong Xu and Albert Zomaya}
-@article{54,
+@article{Joshi_Blackbox.prediction.of.impact.of.DVFS,
title = {Blackbox prediction of the impact of {DVFS} on end-to-end performance of multitier systems},
volume = {37},
- url = {http://dl.acm.org/citation.cfm?id=1773404},
number = {4},
urldate = {2014-03-28},
journal = {{ACM} {SIGMETRICS} Performance Evaluation Review},
}
-@INPROCEEDINGS{55,
+@INPROCEEDINGS{Spiliopoulos_Green.governors.Adaptive.DVFS,
author={Spiliopoulos, V. and Kaxiras, S. and Keramidas, G.},
-booktitle={Green Computing Conference and Workshops (IGCC), 2011 International},
+booktitle={International Green Computing Conference and Workshops (IGCC)},
title={Green governors: A framework for Continuously Adaptive DVFS},
year={2011},
-month={July},
+month=jul,
pages={1-8},
doi={10.1109/IGCC.2011.6008552}
}
-@proceedings{56,
+@proceedings{Shelepov_Scheduling.on.Heterogeneous.Multicore,
author = {Shelepov, D. and Fedorova, A.},
intrahash = {2287b0be888deceb937bace77634081a},
organization = {Workshop on the Interaction between Operating Systems and Computer Architecture, in conjunction with ISCA},
}
-@article{57,
- title = {Minimizing Energy Consumption for Frame-Based Tasks on Heterogeneous Multiprocessor Platforms},
- url = {http://www.cis.temple.edu/~wu/research/publications/Publication_files/TPDS14-LDW.pdf},
- year={2014},
- author = {Li, Dawei and Wu, Jie}
+@article{Li_Minimizing.Energy.Consumption.for.Frame.Based.Tasks,
+author={Li, D. and Wu, J.},
+journal={Parallel and Distributed Systems, IEEE Transactions on},
+title={Minimizing Energy Consumption for Frame-Based Tasks on Heterogeneous Multiprocessor Platforms},
+year={2014},
+month={},
+volume={PP},
+number={99},
+pages={1-1},
+keywords={Energy consumption;Optimization;Partitioning algorithms;Processor scheduling;Program processors;Runtime;Time-frequency analysis},
+doi={10.1109/TPDS.2014.2313338},
+ISSN={1045-9219},}
}
-@article{58,
+@article{Chen_DVFS.under.quality.of.service.requirements,
title = {Dynamic frequency scaling schemes for heterogeneous clusters under quality of service requirements},
volume = {28},
- url = {http://www.tik.ee.ethz.ch/file/6b2639d5dad0cd754d723ba0eb92cbf6/201211_06.pdf},
number = {6},
urldate = {2014-11-07},
journal = {Journal of Information Science and Engineering},
}
+@MISC{Green500_List,
+ title = {{The Green500 List of Heterogeneous Supercomputing Systems}},
+ url = {http://www.green500.org}
+}
+
+@MISC{U.S_Annual.Energy.Outlook.2014,
+ title = {{U.S. Energy Information Administration, Annual Energy Outlook 2014}},
+ url = {http://www.eia.gov/}
+}
+
+
