CICC-2022 Educational Session 3

laoying521

Prof. Kahng presented "The OpenROADProject: A Foundation for Research and Education in EDA and IC Design" PPT及相应的视频！

[size=0.95]ES3-1: The OpenROAD Project: A Foundation for Research and Education in EDA and IC Design

[size=0.95] Andrew B. Kahng, University of California San Diego, USA

[size=0.95]Bio: Andrew B. Kahng is Distinguished Professor of CSE and ECE and holder of the endowed chair in high-performance computing at UC San Diego. He was visiting scientist at Cadence (1995-97) and founder/CTO at Blaze DFM (2004-06).  He is coauthor of 3 books and over 500 journal and conference papers, holds 35 issued U.S. patents, and is a fellow of ACM and IEEE.  He has served as general chair of DAC, ISPD and other conferences, and from 2000-2016 as international chair/co-chair of the ITRS Design and System Drivers working groups. He is PI of OpenROAD https://theopenroadproject.org/, a $15M U.S. DARPA project targeting open-source, autonomous (“no human in the loop”) tools for IC implementation. He also serves as PI and director of TILOS, The Institute for Learning-enabled Optimization at Scale, which is an NSF AI Research Institute that began operations in November 2021 https://tilos.ai/. Some recent talks can be seen at his lab homepage:  https://vlsicad.ucsd.edu/.

[size=0.95]Abstract: The OpenROAD Project (https://theopenroadproject.org) develops an open-source RTL-to-GDS tool that generates manufacturable layout from a given hardware description – in 24 hours, with no human in the loop. The project is part of the IDEA program within the DARPA ERI. By reducing today’s cost, expertise and schedule barriers to hardware design, OpenROAD enables access to ASIC implementation, unleashing hardware innovation. To date, well over a hundred successful tapeouts have been made with OpenROAD in commercial nodes from 12nm to 130nm. This talk will present key aspects of the OpenROAD tool, learnings from the project since its start in June 2018, and the roadmap for OpenROAD as it transitions from the DARPA IDEA program to being a self-sustaining effort. OpenROAD’s futures include (i) serving as a foundation for academic research and teaching (of both EDA and IC design); (ii) seeding the transition of open-source EDA into government and commercial usage; and (iii) driving new machine learning research that further accelerates EDA and hardware innovation. Furthermore, OpenROAD enables transparency and reproducibility of hardware and EDA research, thus accelerating the pace of discovery in these critical technology domains.

remix1130

Many thanks for your sharing!