Machine Learning-Based Temperature Prediction for Runtime Thermal Management Across System Components

INIS

• prediction 100%
• performance 60%
• gaussian processes 50%
• neural networks 40%
• comparative evaluations 30%
• management 20%
• errors 20%
• machine learning 20%
• interventions 10%
• variations 10%
• optimization 10%
• trains 10%
• reduction 10%
• algorithms 10%
• power 10%
• peaks 10%
• configuration 10%
• migration 10%
• accuracy 10%
• cooling systems 10%

Computer Science

• Simulation Mode 90%
• Gaussian Process 50%
• Regression 40%
• Process Model 30%
• Task Placement 30%
• Prediction Error 20%
• Machine Learning 20%
• Algorithms 10%
• Optimization 10%
• Performance Degradation 10%
• Migration Task 10%
• Prediction Model 10%
• Thermal Management 10%
• Feature Selection 10%
• System Configuration 10%
• Prediction Accuracy 10%
• Performance Variation 10%
• Peak Performance 10%
• Time Management 10%
• System Temperature 10%