}
-@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}
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}
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},
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}
@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}
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},
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}
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},
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},
@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}
}
@MISC{U.S_Annual.Energy.Outlook.2014,
title = {{U.S. Energy Information Administration, Annual Energy Outlook 2014}},
url = {http://www.eia.gov/}
-}
\ No newline at end of file
+}
+
+
