Sayak Kundu

16 papers A* 1A 4Journal 4Unranked 7
YearRankTypeTitle / Venue / Authors
2026 — conf
Invited: Agentic AI for Physical Design R&D: Status and Prospects.
ISPD
Amur Ghose, Andrew B. Kahng, Sayak Kundu, Bodhisatta Pramanik
2026 — conf
Invited: Post-Placement Buffering and Sizing Contest.
ISPD
Andrew B. Kahng, Seokhyeong Kang, Sayak Kundu, Yiting Liu, Davit Markarian, SeongHyeon Park, Zhiang Wang
2025 A conf
Invited: IEEE DATC RDF-2025: Enabling an EDA Research Ecosystem.
ICCAD
Vidya A. Chhabria, Amur Ghose, Vikram Gopalakrishnan, Andrew B. Kahng, Sayak Kundu, Yiting Liu, Zhiang Wang, Bing-Yue Wu
2025 — conf
ORFS-agent: Tool-Using Agents for Chip Design Optimization.
MLCAD
Amur Ghose, Andrew B. Kahng, Sayak Kundu, Zhiang Wang
2025 J jnl
ORFS-agent: Tool-Using Agents for Chip Design Optimization.
CoRR
Amur Ghose, Andrew B. Kahng, Sayak Kundu, Zhiang Wang
2025 — conf
Use Cases and Deployment of ML in IC Physical Design.
ASP-DAC
Amur Ghose, Andrew B. Kahng, Sayak Kundu, Yiting Liu, Bodhisatta Pramanik, Zhiang Wang, Dooseok Yoon
2024 J jnl
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators.
ACM Trans. Design Autom. Electr. Syst.
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
2024 A* conf
PPA-Relevant Clustering-Driven Placement for Large-Scale VLSI Designs.
DAC
Andrew B. Kahng, Seokhyeong Kang, Sayak Kundu, Kyungjun Min, SeongHyeon Park, Bodhisatta Pramanik
2024 A conf
Placement Tomography-Based Routing Blockage Generation for DRV Hotspot Mitigation.
ICCAD
Andrew B. Kahng, Sayak Kundu, Dooseok Yoon
2024 — conf
Scalable Flip-Flop Clustering Using Divide and Conquer For Capacitated K-Means.
ACM Great Lakes Symposium on VLSI
Andrew B. Kahng, Sayak Kundu, Shreyas Thumathy
2024 A conf
Strengthening the Foundations for IC Physical Design and ML EDA Research.
ICCAD
Vidya A. Chhabria, Vikram Gopalakrishnan, Andrew B. Kahng, Sayak Kundu, Zhiang Wang, Bing-Yue Wu, Dooseok Yoon
2023 J jnl
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators.
CoRR
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
2023 — conf
Assessment of Reinforcement Learning for Macro Placement.
ISPD
Chung-Kuan Cheng, Andrew B. Kahng, Sayak Kundu, Yucheng Wang, Zhiang Wang
2023 J jnl
Assessment of Reinforcement Learning for Macro Placement.
CoRR
Chung-Kuan Cheng, Andrew B. Kahng, Sayak Kundu, Yucheng Wang, Zhiang Wang
2023 A conf
Invited Paper: IEEE CEDA DATC Emerging Foundations in IC Physical Design and MLCAD Research.
ICCAD
Jinwook Jung, Andrew B. Kahng, Sayak Kundu, Zhiang Wang, Dooseok Yoon
2022 — conf
Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms.
MLCAD
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