Merge branch 'master' of ssh://info.iut-bm.univ-fcomte.fr/mpi-energy2

[mpi-energy2.git] / mpi-energy2-extension / my_reference.bib

diff --git a/mpi-energy2-extension/my_reference.bib b/mpi-energy2-extension/my_reference.bib
index 2c7e80fb57da529fa52a7f873e998417331d438c..26a185885a3ef977081e116a120395b346052537 100644 (file)
--- 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},
  isbn = {0-7695-2700-0},
  location = {Tampa, Florida},
  articleno = {107},

- doi = {10.1145/1188455.1188567},

  acmid = {1188567},
  publisher = {ACM},
  address = {New York, NY, USA}
  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},  
 
 @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} 
  pages =  {1-20},   
  year = {2012} 

-  
+ }

  }
  
 
  }
  
 


@@ -47,7 +46,6 @@
  location = {San Diego, CA, USA},
  pages = {275--280},
  numpages = {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},
  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},
 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,
 }
 
 @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,
 }
 
 @INPROCEEDINGS{10,


@@ -112,8 +108,7 @@ title={Crown scheduling: Energy-efficient resource allocation, mapping and discr
 year={2013},
 month=sep,
 pages={215-222},
 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,
 }
 
 @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},
 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}
 }
 
 ISSN={1552-5244}
 }
 


@@ -140,7 +134,6 @@ ISSN={1552-5244}
  issn = {1094-3420},
  pages = {342--350},
  numpages = {9},
  issn = {1094-3420},
  pages = {342--350},
  numpages = {9},

- doi = {10.1177/1094342011414749},

  acmid = {2020813},
  publisher = {Sage Publications, Inc.},
  address = {Thousand Oaks, CA, USA},
  acmid = {2020813},
  publisher = {Sage Publications, Inc.},
  address = {Thousand Oaks, CA, USA},


@@ -148,7 +141,7 @@ ISSN={1552-5244}
 } 
 
 @ARTICLE{13,  
 } 
 
 @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},
  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},
 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,
 }
 
 @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},
  pages = {17:1--17:25},
  articleno = {17},
  numpages = {25},

- doi = {10.1145/1331331.1331341},

  acmid = {1331341},
  publisher = {ACM},
  address = {New York, NY, USA},
  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--},
  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}
  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},
  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}
  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},
 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}
 }
 
 ISSN={1530-2075}
 }
 


@@ -238,10 +226,8 @@ ISSN={1530-2075}
                and energy management},
   booktitle = {ISQED},
   year      = {2012},
                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},
  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},
  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},
   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}
 }
 
   year = {2011}
 }
 


@@ -287,7 +272,6 @@ ISSN={1530-2075}
  year = {2005},
  isbn = {1-59593-061-2},
  pages = {34--},
  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}
  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--},
  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}
  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},
   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},
   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},
  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},
  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},
  issn = {0278-0070},
  pages = {676--689},
  numpages = {14},

- doi = {10.1109/TCAD.2009.2015740},

  acmid = {1656937},
  publisher = {IEEE Press},
  address = {Piscataway, NJ, USA},
  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},
 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,
 }
 
 @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},
 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,
 }
 
 @INPROCEEDINGS{30,


@@ -413,8 +391,7 @@ title={Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks
 year={2010},
 month=may,
 pages={368-377},
 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,
 }
 
 @article{31,


@@ -426,7 +403,6 @@ number = {RapidPosts},
 issn = {1556-6056},
 year = {2013},
 pages = {1},
 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}
 }
 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",
 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}
 
 }
 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},
 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,
 }
 
 @inproceedings{34,


@@ -480,7 +454,6 @@ pages = " - ",
 year = "2013",
 note = "",
 issn = "1084-8045",
 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}
 
 }
 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},
  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}
  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},
  location = {Porto Alegre, Brazil},
  pages = {175--185},
  numpages = {11},

- doi = {10.1145/2155620.2155641},

  acmid = {2155641},
  publisher = {ACM},
  address = {NY, USA}
  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},
 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,
 }
 
 @inproceedings{40,


@@ -562,7 +533,6 @@ doi={10.1145/1283780.1283825}
  location = {Vancouver, B.C., CANADA},
  pages = {155--165},
  numpages = {11},
  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}
  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},
 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}
 }
 
 ISSN={0278-0070}
 }
 


@@ -629,7 +598,6 @@ ISSN={0278-0070}
   isbn =         {978-0-7695-3114-4},
   pages =        {126--131},
   numpages =     {6},
   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}
   acmid =        {1398183},
   publisher =    {IEEE Computer Society},
   address =      {Washington, DC, USA}


@@ -647,7 +615,6 @@ ISSN={0278-0070}
   pages = {2899--2917},
   year = 2014,
   month = oct,
   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}
 }
 
   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}, 
 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}
 }
 
 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}, 
 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}
 }
 
 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},
        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",
 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}
 
 
 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,
 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},
 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},}
 }
 
 ISSN={1045-9219},}
 }
 


@@ -818,7 +780,6 @@ issn={0920-8542},
 journal={The Journal of Supercomputing},
 volume={70},
 number={3},
 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},
 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},


@@ -845,9 +806,7 @@ journal={Human-centric Computing and Information Sciences},
 eid={28},
 volume={5},
 number={1},
 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},
 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}
 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}


@@ -861,7 +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},
 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}
 }
 
 month={Sept}
 }
 


@@ -878,9 +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.},
 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},
 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}
 publisher={Springer Berlin Heidelberg},
 author={Nagpal, Rahul and Srikant, Y.N.},
 pages={497-508}