An Updated Assessment of Reinforcement Learning for Macro Placement · HackerPapers discussions

An Updated Assessment of Reinforcement Learning for Macro Placement — mentioned by vighneshiyer

Sun, 01 Dec 2024 07:17:12 GMT

> One key argument in the rebuttal against the ISPD article is that the resources used in their comparison were significantly smaller. To me, this point alone seems sufficient to question the validity of the ISPD work's conclusions. What are your thoughts on this? I believe this is a fair criticism, and it could be a reason why the ISPD Tensorboard shows divergence during training for some RTL designs. The ISPD authors provide their own justification for their substitution of training time for compute resources in page 11 of their paper (https://arxiv.org/pdf/2302.11014). I do not think it…

Paper and discussion history. A mention is not an endorsement.

An Updated Assessment of Reinforcement Learning for Macro Placement — mentioned by oldgradstudent

Wed, 28 Jun 2023 06:38:22 GMT

One is basically an evidence-free ad hominem attack. > [2] https://twitter.com/JacobSteinhardt/status/15215993404137881... The other two sources make a concrete claim that in mid-2002 there was an independent, open-source, replication of the Nature paper: > [1] https://twitter.com/ZoubinGhahrama1/status/15122035096467415... >> Google stands by this work published in Nature on ML for Chip Design, which has been independently replicated, open-sourced, and used in production at Google. > [3] https://twitter.com/sguada/status/1521587406385807361 >> The results in the Nature paper were…

Paper and discussion history. A mention is not an endorsement.