Difference between revisions of "OpenROAD"

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* email: osama21@aucegypt.edu
* email: osama21@aucegypt.edu
==Downloads==
==Downloads==
[https://docs.google.com/presentation/d/14WM-MlBMmVueEMES5AUU2XJa-jMmH3R4/edit?usp=sharing&ouid=103441629110250115996&rtpof=true&sd=true Slides]
* [https://docs.google.com/presentation/d/e/2PACX-1vRd1SKL03TZHw7SBsH5IcHSf5K7ZKUCHJpsXzgW3LRKyxvy9OJMa9zW08TRolWasQ/pub?start=false&loop=false&delayms=3000 Slides]
* [https://peertube.f-si.org/videos/watch/0703c3c6-9b80-4f17-bf04-04c07d3f5c7b Video recording]
 
==Abstract==
==Abstract==
Presenting OpenROAD, an RTL-to-GDS opensource flow  with some focus on the late utilization of cloud resources and machine learning for PPA and runtime optimization.
Presenting OpenROAD, an RTL-to-GDS opensource flow  with some focus on the late utilization of cloud resources and machine learning for PPA and runtime optimization.
==Software==
===General information===
* OpenROAD repo: https://github.com/The-OpenROAD-Project/OpenROAD
* OpenROAD-flow-scripts repo: https://github.com/The-OpenROAD-Project/OpenROAD-flow-scripts
* AutoTuner documentation: https://openroad-flow-scripts.readthedocs.io/en/latest/user/InstructionsForAutoTuner.html

Latest revision as of 12:09, 11 August 2023

  • Speaker(s): Osama Hammad
  • email: osama21@aucegypt.edu

Downloads

Abstract

Presenting OpenROAD, an RTL-to-GDS opensource flow with some focus on the late utilization of cloud resources and machine learning for PPA and runtime optimization.

Software

General information