Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach

Data

The dataset is data/label-22000.csv. Each row contains a sequence representing prefix adder, two configuration parameters (max_delay and utilization) in back-end tools, and four values indicating area, power, delay and TNS.

data/feature-1100.csv combines the features for each instance. Each row corresponds to an adder instance with the format as below:

<INDEX>,<Sequence>,<SIZE>,<MFO>,<MPFO(32)>,<SPFO(32)>

(MPFO refers to max-path fanout.)