Cycle Count Estimation of VLIW Processors Using Machine Learning
IEEE Nordic Circuits and Systems Conference（2024）
Key words
Machine Learning,Cycle Count,Very Long Instruction Word,Artificial Neural Network,Machine Learning Techniques,Design Space,Residual Network,Mean Relative Error,Datapath,Residual Neural Network,Design Space Exploration,Architecture Configuration,Training Data,Decision Tree,Random Generation,Functional Unit,Feed-forward Network,Per Cycle,Control Unit,Architectural Features,Input Port,Reference Configuration,Design Points,Architecture Parameters,Aspects Of Architecture,Amount Of Combinations,XGBoost Model
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