Branch Prediction On Demand: An Energy-Efficient Solution

Proceedings of the International Symposium on Low Power Electronics and Design

Volumn , Issue , 2003, Pages 390-395

  Chaver, Daniel ^a   Piñuel, Luis ^a   Prieto, Manuel ^a   Tirado, Francisco ^a   Huang, Michael C ^b  

^a UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

^b University of Rochester   (United States)

Author keywords

Adaptive; Branch Prediction; Profiling

Indexed keywords

ADAPTIVE; BRANCH PREDICTION; PROFILING; PARALLEL PROCESSING; PERMISSION; POWER ENGINEERING AND ENERGIES; PREDICTIVE MODELS; RUNTIMES;

ARRAYS; DATA REDUCTION; ELECTRIC POWER UTILIZATION; ENERGY EFFICIENCY; HYBRID COMPUTERS; MAXIMUM DEMAND INDICATORS; APPLICATION PROGRAMS; ENERGY UTILIZATION; FORECASTING; LOW POWER ELECTRONICS; MODEMS; NETWORKS (CIRCUITS); POWER ELECTRONICS;

MICROPROCESSOR CHIPS; ENERGY EFFICIENCY;

EID: 1542359119     PISSN: 15334678     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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