Saad Godil
Saad Godil
Director of Applied Deep Learning Research, NVIDIA
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Citata da
Citata da
Accelerating chip design with machine learning
B Khailany
Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD, 33-33, 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
Improving SAT solver heuristics with graph networks and reinforcement learning
V Kurin, S Godil, S Whiteson, B Catanzaro
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
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
Deep predictive coverage collection
R Roy, C Duvedi, S Godil, M Williams
Proceedings of the design and verification conference and exhibition US (DVCon), 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
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
Guiding global placement with reinforcement learning
R Kirby, K Nottingham, R Roy, S Godil, B Catanzaro
arXiv preprint arXiv:2109.02631, 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
Machine Learning for Logic Synthesis
R Roy, S Godil
Machine Learning Applications in Electronic Design Automation, 183-204, 2022
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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