Sayak Kundu

According to our database, Sayak Kundu authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

ORFS-agent: Tool-Using Agents for Chip Design Optimization.

Amur Ghose, Andrew B. Kahng, Sayak Kundu, Zhiang Wang

CoRR, June, 2025

Use Cases and Deployment of ML in IC Physical Design.

Amur Ghose, Andrew B. Kahng, Sayak Kundu, Yiting Liu, Bodhisatta Pramanik, Zhiang Wang, Dooseok Yoon

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.

Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng

ACM Trans. Design Autom. Electr. Syst., 2024

Placement Tomography-Based Routing Blockage Generation for DRV Hotspot Mitigation.

Andrew B. Kahng, Sayak Kundu, Dooseok Yoon

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

Strengthening the Foundations for IC Physical Design and ML EDA Research.

Vidya A. Chhabria, Vikram Gopalakrishnan, Andrew B. Kahng, Sayak Kundu, Zhiang Wang, Bing-Yue Wu, Dooseok Yoon

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.

Andrew B. Kahng, Sayak Kundu, Shreyas Thumathy

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

PPA-Relevant Clustering-Driven Placement for Large-Scale VLSI Designs.

Andrew B. Kahng, Seokhyeong Kang, Sayak Kundu, Kyungjun Min, Seonghyeon Park, Bodhisatta Pramanik

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

2023

Assessment of Reinforcement Learning for Macro Placement.

Chung-Kuan Cheng, Andrew B. Kahng, Sayak Kundu, Yucheng Wang, Zhiang Wang

Proceedings of the 2023 International Symposium on Physical Design, 2023

Invited Paper: IEEE CEDA DATC Emerging Foundations in IC Physical Design and MLCAD Research.

Jinwook Jung, Andrew B. Kahng, Sayak Kundu, Zhiang Wang, Dooseok Yoon

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

2022

Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms.

Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng

Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022