X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/mpi-energy2.git/blobdiff_plain/fe79318beef87d419e3952d9a1140372bd71bf4e..c9efa3aa1b816cbed779a8f68048dca4759ed1b1:/mpi-energy2-extension/my_reference.bib?ds=inline diff --git a/mpi-energy2-extension/my_reference.bib b/mpi-energy2-extension/my_reference.bib index c960950..26a1858 100644 --- a/mpi-energy2-extension/my_reference.bib +++ b/mpi-energy2-extension/my_reference.bib @@ -7,7 +7,6 @@ isbn = {0-7695-2700-0}, location = {Tampa, Florida}, articleno = {107}, - doi = {10.1145/1188455.1188567}, acmid = {1188567}, publisher = {ACM}, address = {New York, NY, USA} @@ -15,11 +14,11 @@ @article{2, author = {Peraza , J. and Tiwari , A. and Laurenzano , M. and Carrington L. and Snavely}, - title = {{PMaC}'s green queue: a framework for selecting energy optimal {DVFS} configurations in large scale {MPI} applications}, - journal = {Concurrency Computat.: Pract. Exper.DOI: 10.1002/cpe}, + title = {PMaC's green queue: a framework for selecting energy optimal DVFS configurations in large scale MPI applications}, + journal = {Concurrency and Computation: Practice and Experience}, pages = {1-20}, year = {2012} - + } } @@ -47,7 +46,6 @@ location = {San Diego, CA, USA}, pages = {275--280}, numpages = {6}, - doi = {10.1145/996566.996650}, acmid = {996650}, publisher = {ACM}, address = {New York, NY, USA}, @@ -90,19 +88,17 @@ title={Bounding energy consumption in large-scale {MPI} programs}, year={2007}, 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} +keywords={Clustering algorithms;Delay effects;Dynamic voltage scaling;Energy consumption;Frequency;Government;Laboratories;Large-scale systems;Linear programming;Processor scheduling} } @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", - address = "USA", - year = "2009", - pages = "227", + author = {Malkowski, Konrad}, + title = {Co-adapting scientific applications and architectures toward energy-efficient high performance computing}, + school = {The Pennsylvania State University}, + address = {USA}, + year = {2009}, + pages = {227} - } @INPROCEEDINGS{10, @@ -112,8 +108,7 @@ title={Crown scheduling: Energy-efficient resource allocation, mapping and discr year={2013}, 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} +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} } @INPROCEEDINGS{11, @@ -124,7 +119,6 @@ year={2006}, 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}, ISSN={1552-5244} } @@ -140,7 +134,6 @@ ISSN={1552-5244} issn = {1094-3420}, pages = {342--350}, numpages = {9}, - doi = {10.1177/1094342011414749}, acmid = {2020813}, publisher = {Sage Publications, Inc.}, address = {Thousand Oaks, CA, USA}, @@ -148,7 +141,7 @@ ISSN={1552-5244} } @ARTICLE{13, - author = {Lizhe Wang a,b, Samee U. Khan c , Dan Chen a , Joanna Kołodziej d , Rajiv Ranjan e , Cheng-zhong Xu f ,Albert Zomaya}, + author = {Lizhe Wang a,b, Samee U. Khan c, Dan Chen a, Joanna Kołodziej d, Rajiv Ranjan e, Cheng-zhong Xu f,Albert Zomaya}, title = {Energy-aware parallel task scheduling in a cluster}, journal = {Future Generation Computer Systems}, volume = {29}, @@ -165,8 +158,7 @@ title={Energy-Efficient Cluster Computing via Accurate Workload Characterization year={2009}, 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} +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} } @article{Zhuo_Energy.efficient.Dynamic.Task.Scheduling, @@ -182,7 +174,6 @@ doi={10.1109/CCGRID.2009.88} pages = {17:1--17:25}, articleno = {17}, numpages = {25}, - doi = {10.1145/1331331.1331341}, acmid = {1331341}, publisher = {ACM}, address = {New York, NY, USA}, @@ -197,7 +188,6 @@ doi={10.1109/CCGRID.2009.88} year = {2007}, isbn = {0-7695-2933-X}, pages = {19--}, - doi = {10.1109/ICPP.2007.39}, acmid = {1306033}, publisher = {IEEE Computer Society}, address = {Washington, DC, USA} @@ -211,7 +201,6 @@ doi={10.1109/CCGRID.2009.88} year = {2005}, isbn = {0-7695-2312-9}, pages = {4a-4a}, - doi = {10.1109/IPDPS.2005.214}, acmid = {1054466}, publisher = {IEEE Computer Society}, address = {Washington, DC, USA} @@ -225,7 +214,6 @@ year={2010}, 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}, ISSN={1530-2075} } @@ -238,10 +226,8 @@ ISSN={1530-2075} and energy management}, booktitle = {ISQED}, year = {2012}, - pages = {747-754}, - ee = {http://dx.doi.org/10.1109/ISQED.2012.6187575}, - CCcrossref = {DBLP:conf/isqed/2012}, - CCbibsource = {DBLP, http://dblp.uni-trier.de} + pages = {747-754} + } @@ -255,7 +241,6 @@ ISSN={1530-2075} location = {New York, New York, USA}, pages = {230--238}, numpages = {9}, - doi = {10.1145/1122971.1123006}, acmid = {1123006}, publisher = {ACM}, address = {New York, NY, USA}, @@ -275,7 +260,7 @@ ISSN={1530-2075} pages = {11-18}, publisher = {SCS/ACM}, timestamp = {2011-12-01T00:00:00.000+0100}, - title = {Modeling the energy consumption for concurrent executions of parallel tasks.}, + title = {Modeling the energy consumption for concurrent executions of parallel tasks}, year = {2011} } @@ -287,7 +272,6 @@ ISSN={1530-2075} year = {2005}, isbn = {1-59593-061-2}, pages = {34--}, - doi = {10.1109/SC.2005.57}, acmid = {1105799}, publisher = {IEEE Computer Society}, address = {Washington, DC, USA} @@ -302,7 +286,6 @@ ISSN={1530-2075} year = {2005}, isbn = {0-7695-2312-9}, pages = {34--}, - doi = {10.1109/IPDPS.2005.346}, acmid = {1054376}, publisher = {IEEE Computer Society}, address = {Washington, DC, USA} @@ -316,7 +299,6 @@ ISSN={1530-2075} date = {2009-11-27}, description = {dblp}, editor = {Mueller, Peter and Cao, Jian-Nong and Wang, Cho-Li}, - ee = {http://dx.doi.org/10.1007/978-3-642-10485-5_8}, interhash = {d191ac30e6c4bd27288ffdf9e6d0e815}, intrahash = {4601b8a777bdf956bb48fa611b7556f5}, isbn = {978-3-642-10484-8}, @@ -358,7 +340,6 @@ ISSN={1530-2075} issn = {0743-7315}, pages = {1154--1164}, numpages = {11}, - doi = {10.1016/j.jpdc.2011.01.004}, acmid = {1998949}, publisher = {Academic Press, Inc.}, address = {Orlando, FL, USA}, @@ -377,7 +358,6 @@ ISSN={1530-2075} issn = {0278-0070}, pages = {676--689}, numpages = {14}, - doi = {10.1109/TCAD.2009.2015740}, acmid = {1656937}, publisher = {IEEE Press}, address = {Piscataway, NJ, USA}, @@ -391,8 +371,7 @@ title={Thermal vs Energy Optimization for {DVFS}-Enabled Processors in Embedded year={2007}, 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} +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} } @INPROCEEDINGS{29, @@ -402,8 +381,7 @@ title={Bounds on power savings using runtime dynamic voltage scaling: an exact a year={2005}, 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} +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} } @INPROCEEDINGS{30, @@ -413,8 +391,7 @@ title={Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks year={2010}, 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} +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} } @article{31, @@ -426,7 +403,6 @@ number = {RapidPosts}, issn = {1556-6056}, year = {2013}, pages = {1}, -doi = {http://doi.ieeecomputersociety.org/10.1109/L-CA.2013.1}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA} } @@ -440,7 +416,6 @@ pages = "76 - 91", year = "2013", note = "S.I.Energy efficiency in grids and clouds ", issn = "1569-190X", -doi = "http://dx.doi.org/10.1016/j.simpat.2013.04.007", author = {Tom Guérout and Thierry Monteil and Georges Da Costa and Rodrigo Neves Calheiros and Rajkumar Buyya and Mihai Alexandru} } @@ -452,8 +427,7 @@ title={Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save year={2005}, 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} +keywords={Computer science;Dynamic voltage scaling;Energy consumption;Energy efficiency;Frequency;Gears;Jitter;Microprocessors;Performance loss;Permission} } @inproceedings{34, @@ -480,7 +454,6 @@ pages = " - ", year = "2013", note = "", issn = "1084-8045", -doi = "http://dx.doi.org/10.1016/j.jnca.2013.10.009", author = {Wei Liu and Wei Du and Jing Chen and Wei Wang and GuoSun Zeng} } @@ -497,7 +470,6 @@ author = {Wei Liu and Wei Du and Jing Chen and Wei Wang and GuoSun Zeng} issn = {0018-9162}, pages = {68--75}, numpages = {8}, - doi = {10.1109/MC.2003.1250885}, acmid = {957974}, publisher = {IEEE Computer Society Press}, address = {Los Alamitos, CA, USA} @@ -522,7 +494,6 @@ author = {Wei Liu and Wei Du and Jing Chen and Wei Wang and GuoSun Zeng} location = {Porto Alegre, Brazil}, pages = {175--185}, numpages = {11}, - doi = {10.1145/2155620.2155641}, acmid = {2155641}, publisher = {ACM}, address = {NY, USA} @@ -535,8 +506,8 @@ title={Dynamic voltage frequency scaling for multi-tasking systems using online year={2007}, 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} +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} + } @inproceedings{40, @@ -562,7 +533,6 @@ doi={10.1145/1283780.1283825} location = {Vancouver, B.C., CANADA}, pages = {155--165}, numpages = {11}, - doi = {10.1109/MICRO.2012.23}, acmid = {2457493}, publisher = {IEEE Computer Society}, address = {Washington, DC, USA} @@ -578,7 +548,6 @@ volume={28}, number={5}, pages={676-689}, keywords={power aware computing;DPM policies;Intel PXA27x core;device leakage characteristics;dynamic power management;dynamic voltage-frequency scaling problems;hard disk drive;online learning;system-level power management;workload characterization;Dynamic voltage frequency scaling;energy-performance trade-off;online learning;power management}, -doi={10.1109/TCAD.2009.2015740}, ISSN={0278-0070} } @@ -629,7 +598,6 @@ ISSN={0278-0070} isbn = {978-0-7695-3114-4}, pages = {126--131}, numpages = {6}, - doi = {10.1109/UKSIM.2008.28}, acmid = {1398183}, publisher = {IEEE Computer Society}, address = {Washington, DC, USA} @@ -647,7 +615,6 @@ ISSN={0278-0070} pages = {2899--2917}, year = 2014, month = oct, - doi = {10.1016/j.jpdc.2014.06.008}, pdf = {http://hal.inria.fr/docs/01/05/75/41/PDF/simgrid3-journal.pdf} } @@ -675,7 +642,6 @@ year={2012}, 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}, ISSN={0190-3918} } @@ -689,7 +655,6 @@ 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} } @@ -700,7 +665,7 @@ ISSN={0190-3918} urldate = {2014-10-16}, institution = {{DTIC} Document}, author = {Luley, Ryan and Usmail, Courtney and Barnell, Mark}, - year = {2011}, + year = {2011} } @@ -721,7 +686,6 @@ 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} @@ -747,8 +711,7 @@ booktitle={International Green Computing Conference and Workshops (IGCC)}, title={Green governors: A framework for Continuously Adaptive DVFS}, year={2011}, month=jul, -pages={1-8}, -doi={10.1109/IGCC.2011.6008552} +pages={1-8} } @@ -772,7 +735,6 @@ 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},} } @@ -798,6 +760,10 @@ ISSN={1045-9219},} url = {http://www.eia.gov/} } +@MISC{U.S_Annual.Energy.Outlook.2015, + title = {{U.S. Energy Information Administration, Annual Energy Outlook 2015}}, + url = {http://www.eia.gov/} +} @inproceedings{pdsec2015, title = {Energy Consumption Reduction with DVFS for Message Passing Iterative Applications on Heterogeneous Architectures}, author = {Charr, Jean-Claude and Couturier, Rapha\~{A}«l and Fanfakh, Ahmed and Giersch, Arnaud}, @@ -814,7 +780,6 @@ issn={0920-8542}, journal={The Journal of Supercomputing}, volume={70}, number={3}, -doi={10.1007/s11227-014-1236-4}, title={Energy measurement, modeling, and prediction for processors with frequency scaling}, publisher={Springer US}, keywords={Dynamic voltage–frequency scaling; DVFS; SPEC CPU2006 benchmarks; Energy measurement; Energy models}, @@ -841,9 +806,7 @@ journal={Human-centric Computing and Information Sciences}, eid={28}, volume={5}, number={1}, -doi={10.1186/s13673-015-0046-x}, title={An energy-delay product study on chip multi-processors for variable stage pipelining}, -url={http://dx.doi.org/10.1186/s13673-015-0046-x}, publisher={Springer Berlin Heidelberg}, keywords={Chip multi-processors (CMP); Variable stage pipelining (VSP); Power-performance; Optimal pipeline}, author={Saravanan, Vijayalakshmi and Anpalagan, Alagan and Woungang, Isaac} @@ -857,7 +820,6 @@ title={Energy-aware application scheduling on a heterogeneous multi-core system} year={2008}, pages={5-13}, keywords={fuzzy logic;power aware computing;processor scheduling;resource allocation;branch transition rate;energy-aware application scheduling mechanism;fuzzy logic;heterogeneous multicore processor;instruction dependency distance;power efficient computing;program execution;random scheduling approach;resource requirement;suitability-guided program scheduling mechanism;workload balancing;Algorithm design and analysis;Application software;Energy consumption;Fuzzy logic;Hardware;Multicore processing;Power engineering and energy;Power engineering computing;Processor scheduling;Scheduling algorithm}, -doi={10.1109/IISWC.2008.4636086}, month={Sept} } @@ -874,9 +836,7 @@ isbn={978-3-540-68039-0}, booktitle={High Performance Computing - HiPC 2006}, volume={4297}, editor={Robert, Yves and Parashar, Manish and Badrinath, Ramamurthy and Prasanna, ViktorK.}, -doi={10.1007/11945918_48}, title={Exploring Energy-Performance Trade-Offs for Heterogeneous Interconnect Clustered VLIW Processors}, -url={http://dx.doi.org/10.1007/11945918_48}, publisher={Springer Berlin Heidelberg}, author={Nagpal, Rahul and Srikant, Y.N.}, pages={497-508}