Statistical power and performance modeling for optimizing the energy efficiency of scientific computing

Proceedings - 2010 IEEE/ACM International Conference on Green Computing and Communications, GreenCom 2010, 2010 IEEE/ACM International Conference on Cyber, Physical and Social Computing, CPSCom 2010

Volumn , Issue , 2010, Pages 139-146

  Subramaniam, Balaji ^a   Feng, Wu Chun ^a  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION PARAMETERS; ENERGY CONSUMPTION; ENERGY EFFICIENT; HIGH-PERFORMANCE COMPUTING; INDISPENSABLE RESOURCES; LINPACK; PERFORMANCE MODELING; PERFORMANCE TUNING; POWER RATIO; SCIENCE AND ENGINEERING; SCIENTIFIC APPLICATIONS; SCIENTIFIC COMPUTING; STATISTICAL POWER; STATISTICAL REGRESSION; STATISTICAL REGRESSION TECHNIQUES; SYSTEM COMPLEXITY; TUNABLE PARAMETER;

COMPUTER SOFTWARE SELECTION AND EVALUATION; ENERGY UTILIZATION; REGRESSION ANALYSIS;

ENERGY EFFICIENCY;

EID: 79953116601     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GreenCom-CPSCom.2010.138     Document Type: Conference Paper

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