Sayak Kundu

Orcid: 0000-0002-8077-1328

According to our database1, Sayak Kundu authored at least 13 papers between 2022 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Invited: Post-Placement Buffering and Sizing Contest.
Proceedings of the 2026 International Symposium on Physical Design, 2026

Invited: Agentic AI for Physical Design R&D: Status and Prospects.
Proceedings of the 2026 International Symposium on Physical Design, 2026

2025
ORFS-agent: Tool-Using Agents for Chip Design Optimization.
Proceedings of the 7th ACM/IEEE Symposium on Machine Learning for CAD, 2025

Invited: IEEE DATC RDF-2025: Enabling an EDA Research Ecosystem.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

Use Cases and Deployment of ML in IC Physical Design.
Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators.
ACM Trans. Design Autom. Electr. Syst., 2024

Placement Tomography-Based Routing Blockage Generation for DRV Hotspot Mitigation.
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

Strengthening the Foundations for IC Physical Design and ML EDA Research.
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

Scalable Flip-Flop Clustering Using Divide and Conquer For Capacitated K-Means.
Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

PPA-Relevant Clustering-Driven Placement for Large-Scale VLSI Designs.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
Assessment of Reinforcement Learning for Macro Placement.
Proceedings of the 2023 International Symposium on Physical Design, 2023

Invited Paper: IEEE CEDA DATC Emerging Foundations in IC Physical Design and MLCAD Research.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022
Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms.
Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022


  Loading...