Saad Godil

According to our database, Saad Godil authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Polaris: A Safety-focused LLM Constellation Architecture for Healthcare.

Subhabrata Mukherjee, Paul Gamble, Markel Sanz Ausin, Neel Kant, Kriti Aggarwal, Neha Manjunath, Debajyoti Datta, Zhengliang Liu, Jiayuan Ding, Sophia Busacca, Cezanne Bianco, Swapnil Sharma, Rae Lasko, Michelle Voisard, Sanchay Harneja, Darya Filippova, Gerry Meixiong, Kevin Cha, Amir Youssefi, Meyhaa Buvanesh, Howard Weingram, Sebastian Bierman-Lytle, Harpreet Singh Mangat, Kim Parikh, Saad Godil, Alex Miller

CoRR, 2024

CircuitVAE: Efficient and Scalable Latent Circuit Optimization.

Jialin Song, Aidan M. Swope, Robert Kirby, Rajarshi Roy, Saad Godil, Jonathan Raiman, Bryan Catanzaro

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

LeanDojo: Theorem Proving with Retrieval-Augmented Language Models.

Kaiyu Yang, Aidan M. Swope, Alex Gu, Rahul Chalamala, Peiyang Song, Shixing Yu, Saad Godil, Ryan J. Prenger, Animashree Anandkumar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GraPhSyM: Graph Physical Synthesis Model.

Ahmed Agiza, Rajarshi Roy, Teodor-Dumitru Ene, Saad Godil, Sherief Reda, Bryan Catanzaro

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2021

Guiding Global Placement With Reinforcement Learning.

Robert Kirby, Kolby Nottingham, Rajarshi Roy, Saad Godil, Bryan Catanzaro

CoRR, 2021

Deep Stalling using a Coverage Driven Genetic Algorithm Framework.

Siddhanth Dhodhi, Debarshi Chatterjee, Eric Hill, Saad Godil

Proceedings of the 39th IEEE VLSI Test Symposium, 2021

Optimizing VLSI Implementation with Reinforcement Learning - ICCAD Special Session Paper.

Haoxing Ren, Saad Godil, Brucek Khailany, Robert Kirby, Haiguang Liao, Siddhartha Nath, Jonathan Raiman, Rajarshi Roy

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning.

Rajarshi Roy, Jonathan Raiman, Neel Kant, Ilyas Elkin, Robert Kirby, Michael Y. Siu, Stuart F. Oberman, Saad Godil, Bryan Catanzaro

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Accelerating Chip Design With Machine Learning.

Brucek Khailany, Haoxing Ren, Steve Dai, Saad Godil, Ben Keller, Robert Kirby, Alicia Klinefelter, Rangharajan Venkatesan, Yanqing Zhang, Bryan Catanzaro, William J. Dally

IEEE Micro, 2020

Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?

Vitaly Kurin, Saad Godil, Shimon Whiteson, Bryan Catanzaro

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Improving SAT Solver Heuristics with Graph Networks and Reinforcement Learning.

Vitaly Kurin, Saad Godil, Shimon Whiteson, Bryan Catanzaro

CoRR, 2019

CongestionNet: Routing Congestion Prediction Using Deep Graph Neural Networks.

Robert Kirby, Saad Godil, Rajarshi Roy, Bryan Catanzaro

Proceedings of the 27th IFIP/IEEE International Conference on Very Large Scale Integration, 2019