| Accelerating chip design with machine learning B Khailany Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD, 33-33, 2020 | 40 | 2020 |
| CongestionNet: Routing congestion prediction using deep graph neural networks R Kirby, S Godil, R Roy, B Catanzaro 2019 IFIP/IEEE 27th International Conference on Very Large Scale Integration …, 2019 | 35 | 2019 |
| Improving SAT solver heuristics with graph networks and reinforcement learning V Kurin, S Godil, S Whiteson, B Catanzaro | 26 | 2019 |
| Can Q-learning with graph networks learn a generalizable branching heuristic for a SAT solver? V Kurin, S Godil, S Whiteson, B Catanzaro Advances in Neural Information Processing Systems 33, 9608-9621, 2020 | 22 | 2020 |
| Prefixrl: Optimization of parallel prefix circuits using deep reinforcement learning R Roy, J Raiman, N Kant, I Elkin, R Kirby, M Siu, S Oberman, S Godil, ... 2021 58th ACM/IEEE Design Automation Conference (DAC), 853-858, 2021 | 9 | 2021 |
| Deep predictive coverage collection R Roy, C Duvedi, S Godil, M Williams Proceedings of the design and verification conference and exhibition US (DVCon), 2018 | 9 | 2018 |
| Deep Stalling using a Coverage Driven Genetic Algorithm Framework S Dhodhi, D Chatterjee, E Hill, S Godil 2021 IEEE 39th VLSI Test Symposium (VTS), 1-4, 2021 | 3 | 2021 |
| Utilizing Assertion Synthesis to Achieve an Automated Assertion-Based Verification Methodology for Complex Graphics Chip Designs P Chatterjee, S Godil, P Nelson, Y Lu The 47th Design Automation Conference, User Track, June 2010, 2010 | 3 | 2010 |
| Guiding global placement with reinforcement learning R Kirby, K Nottingham, R Roy, S Godil, B Catanzaro arXiv preprint arXiv:2109.02631, 2021 | 2 | 2021 |
| Optimizing vlsi implementation with reinforcement learning-iccad special session paper H Ren, S Godil, B Khailany, R Kirby, H Liao, S Nath, J Raiman, R Roy 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-6, 2021 | 1 | 2021 |
| Machine Learning for Logic Synthesis R Roy, S Godil Machine Learning Applications in Electronic Design Automation, 183-204, 2022 | | 2022 |
Bryan CatanzaroNVIDIAEmail verificata su acm.org
