+}
+
+@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},
+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},
+ISSN={0190-3918}
+}
+
+
+
+@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},
+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},
+ISSN={0190-3918}
+}
+
+
+@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},
+
+}
+
+
+
+@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{Lizhe_Energy.aware.parallel.task.scheduling,
+title = "Energy-aware parallel task scheduling in a cluster ",
+journal = "Future Generation Computer Systems ",
+volume = "29",
+number = "7",
+pages = "1661 - 1670",
+year = "2013",
+issn = "0167-739X",
+doi = "http://dx.doi.org/10.1016/j.future.2013.02.010",
+author = {Lizhe Wang and Samee U. Khan and Dan Chen and Joanna Kołodziej and Rajiv Ranjan and Cheng-zhong Xu and Albert Zomaya}
+
+
+}
+
+
+
+@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},
+ number = {4},
+ urldate = {2014-03-28},
+ journal = {{ACM} {SIGMETRICS} Performance Evaluation Review},
+ author = {Joshi, Kaustubh R. and Hiltunen, Matti A. and Schlichting, Richard D. and Sanders, William H.},
+ year = {2010},
+ pages = {59--63}
+}
+
+
+@INPROCEEDINGS{Spiliopoulos_Green.governors.Adaptive.DVFS,
+author={Spiliopoulos, V. and Kaxiras, S. and Keramidas, G.},
+booktitle={International Green Computing Conference and Workshops (IGCC)},
+title={Green governors: A framework for Continuously Adaptive DVFS},
+year={2011},
+month={July},
+pages={1-8},
+doi={10.1109/IGCC.2011.6008552}
+}
+
+
+@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},
+ timestamp = {2008-10-07T16:32:27.000+0200},
+ title = {Scheduling on Heterogeneous Multicore Processors Using Architectural Signatures},
+ year = {2008}
+}
+
+
+@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{Chen_DVFS.under.quality.of.service.requirements,
+ title = {Dynamic frequency scaling schemes for heterogeneous clusters under quality of service requirements},
+ volume = {28},
+ number = {6},
+ urldate = {2014-11-07},
+ journal = {Journal of Information Science and Engineering},
+ author = {Chen, Jian-Jia and Huang, Kai and Thiele, Lothar},
+ year = {2012},
+ pages = {1073--1090}
+
+}
+
+@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/}
+}
+
+
