I think there is a big difference between published academic tools that work on a specific benchmark format versus an academic tool that has been integrated into a robust EDA toolflow. Also, note that dreamplace is simply accelerated electrostatic placement tool using deep learning frameworks to take advantage of GPUs. Electrostatic placement is not a new concept and is not specific to dreamplace.
> Also, note that dreamplace is simply accelerated electrostatic placement tool using deep learning frameworks to take advantage of GPUs. Electrostatic placement is not a new concept and is not specific to dreamplace.
I don't know why you're explaining this to me (I've made contributions to dreamplace). my point is why reinvent a very well-functioning wheel?
