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# System prepended metadata

title: Modeling Paper Roadmap

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# Modeling Paper Roadmap

## Modeling techniques survey

### CPU modeling: 

1.  Energy of Computing using Performance Monitoring Counts (PMC):
    - Three ways to measure: System-Level with external measurements, on-chip power sensors and energy prediction models.
    - Dynamic and static analysis.
    - PMC with positive. correlation.
    - Selection of relevant PMC by Pearson correlation matrix.

2. Regression models for performance and power prediction:
    - Polynomial regressors.
    - Predictors/Variable merging.
    - Splines or Piecewise. polinomials to fit measurements.
    - 12 set of predictors with multiple variables.

### GPU modeling: 

1. HALWPE Performance estimation for GPUs:
    - Ensembles of 12 linear models and one non linear.
    - Optimizatin on LSE (like in system identification).
    - Non-linearity comes from random forest.
    - Validation using 10 fold validation like in ML.
    - Error minimization to choose best model.
    - Not tested on energy consumption.

### FPGA modeling: 

1. CMOS FPGA modeling
    - 

