0616ygh / REMOTune

Random Embedding and Multi-objective Trust-region Bayesian Optimization for VLSI Flow Parameter Tuning

REMOTune: Random Embedding and Multi-objective Trust-region Bayesian Optimization for VLSI Flow Parameter Tuning

Dependency:

botorch (https://botorch.org/)

optuna (https://optuna.org/)

Run REMOTune

''' python3 opt/remotune.py -p script/params.txt -c script/riscv32i_syn.py -d script/riscv32i_cad.py -r 150.0 -e 16 -n 3 -b 8 -i 64 -s 256 -t 1800 -o tmp -j 16 -m 4 --scale 0.25 '''

Run MOTPE/BO

''' python3 opt/motpe.py -p script/params.txt -c script/riscv32i_cad.py -r 150.0 -n 3 -i 16 -s 64 -t 1800 -o tmp python3 opt/bo.py -p script/params.txt -c script/riscv32i_cad.py -r 150.0 -n 3 -i 16 -s 64 -t 1800 -o tmp '''

Note

The parameters for Genus and Innovus is in script/params.txt

The code in script/genus.py and script/innovus.py are used to generate the scripts for Genus and Innovus, respectively.

Note that we need the .lib, .lef, .captable files, Genus, and Innovus to run the code.

MOTPE is the method used in AutoTuner.

OpenROAD

We have supported OpenROAD, see opt/remoroad.py and opt/tperoad.py. The "--flowdir" option specifies the path of OpenROAD-flow-script.