Fine-Grained Power Modeling of Multicore Processors Using FFNNs

Keyphrases

• Feedforward Neural Network 100%
• Power Modeling 100%
• Multicore Processors 100%
• Power Data 50%
• Artificial Neural Network 33%
• Modeling Techniques 33%
• Core Level 33%
• Core Performance 33%
• Linear Modeling 33%
• Neural Network 16%
• Power Consumption 16%
• Neural Network Architecture 16%
• Time Dynamics 16%
• Estimation Accuracy 16%
• Estimation Error 16%
• Power Model 16%
• Modeling Approach 16%
• Power Estimation 16%
• Space Domain 16%
• Area Overhead 16%
• Dynamic Power 16%
• State of Power 16%
• Performance Counters 16%
• Core Power 16%
• Estimation Rate 16%
• Polynomial Regression Model 16%
• Linear Power 16%
• Power Relationships 16%
• Out-of-order Processors 16%
• Optimized Neural Network 16%
• Relative Power 16%
• Multivariate Polynomial Regression 16%

Computer Science

• Multicore Processor 100%
• Feed Forward Neural Networks 100%
• Neural Network 50%
• Linear Modeling 50%
• Neural Network Architecture 25%
• Power Consumption 25%
• Estimation Accuracy 25%
• Performance Counter 25%
• Dynamic Power 25%
• Related Performance 25%
• Information Power 25%
• Time Resolution 25%
• Out-of-Order Processor 25%
• Power Relationship 25%
• Polynomial Regression 25%
• Estimation Error 25%
• Processor Architecture 25%

Engineering

• Feedforward 100%
• Core Level 50%
• Artificial Neural Network 50%
• Electric Power Utilization 25%
• Time Domain 25%
• Estimation Error 25%
• Power Estimation 25%
• Neural Network Architecture 25%
• Power State 25%
• Area Overhead 25%