Vidya A. Chhabria

57 papers A* 5A 12B 1C 1Misc 1Journal 21Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CarbonPATH: Carbon-aware pathfinding and architecture optimization for chiplet-based AI systems. CoRR Chetan Choppali Sudarshan, Jiajun Hu, Aman Arora, Vidya A. Chhabria
2026	—	`conf`	DALI-PD: Diffusion-based Synthetic Layout Heatmap Generation for ML in Physical Design. ASP-DAC Bing-Yue Wu, Vidya A. Chhabria
2026	—	`conf`	MIMIC: Machine Intelligence for Scalable Generation of Synthetic Timing Cone Datasets. ASP-DAC Ajay Yadav, Vinodh Kumar Ramasamy, Juan Arturo Garza, Taylor Hannan, Mark Lee, Mahesh Sharma, Vidya A. Chhabria
2025	A	`conf`	Adaptive Graph Learning for Efficient Thermal Analysis of Multi-Stacking Chiplet Systems under Interface Variations. ICCAD Ziyao Yang, Jingbo Sun, Vidya A. Chhabria, Yu Cao
2025	J	`jnl`	An Analytical Solution for Transient Electromigration Stress in Multisegment Straight-line Interconnects Based on a Stress-wave Model. ACM Trans. Design Autom. Electr. Syst. Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Nestoras E. Evmorfopoulos, Sachin S. Sapatnekar
2025	—	`conf`	CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs. ACM Great Lakes Symposium on VLSI Jiajun Hu, Chetan Choppali Sudarshan, Maxwell Clifford, Vidya A. Chhabria, Aman Arora
2025	J	`jnl`	CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs. CoRR Jiajun Hu, Chetan Choppali Sudarshan, Vidya A. Chhabria, Aman Arora
2025	J	`jnl`	DALI-PD: Diffusion-based Synthetic Layout Heatmap Generation for ML in Physical Design. CoRR Bing-Yue Wu, Vidya A. Chhabria
2025	J	`jnl`	HISIM: Analytical Performance Modeling and Design Space Exploration of 2.5D/3D Integration for AI Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zhenyu Wang, Pragnya Sudershan Nalla, Jingbo Sun, A. Alper Goksoy, Sumit K. Mandal, Jae-sun Seo, Vidya A. Chhabria, Jeff Zhang, Chaitali Chakrabarti, Ümit Y. Ogras, Yu Cao
2025	—	`conf`	Invited Paper: MLCAD 2025 Contest on ReSynthAI: Physical-aware Logic Resynthesis using AI. MLCAD Vikram Gopalakrishnan, Atmadip Dey, Rongjian Liang, Yanqing Zhang, Haoxing Ren, Vidya A. Chhabria
2025	A*	`conf`	Invited: EDA for Heterogeneous Integration. DAC Emad Haque, Pragnya Sudershan Nalla, Chetal Choppali Sudarshan, Divya Yogi, Hangyu Zhang, Chaitali Chakrabarti, Vidya A. Chhabria, Ramesh Harjani, Jeff Zhang, Sachin S. Sapatnekar
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`	Invited: Toward an ML EDA Commons: Establishing Standards, Accessibility, and Reproducibility in ML-driven EDA Research. ISPD Vidya A. Chhabria, Jiang Hu, Andrew B. Kahng, Sachin S. Sapatnekar
2025	J	`jnl`	LUNA: LUT-Based Neural Architecture for Fast and Low-Cost Qubit Readout. CoRR M. A. Farooq, G. Di Guglielmo, A. Rajagopala, N. Tran, Vidya A. Chhabria, Aman Arora
2025	C	`conf`	Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness. ICCD Ziang Yin, Hongjian Zhou, Chetan Choppali Sudarshan, Vidya A. Chhabria, Jiaqi Gu
2025	J	`jnl`	Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness. CoRR Ziang Yin, Hongjian Zhou, Chetan Choppali Sudarshan, Vidya A. Chhabria, Jiaqi Gu
2024	A	`conf`	2024 ICCAD CAD Contest Problem C: Scalable Logic Gate Sizing Using ML Techniques and GPU Acceleration. ICCAD Bing-Yue Wu, Rongjian Liang, Geraldo Pradipta, Anthony Agnesina, Haoxing Ren, Vidya A. Chhabria
2024	J	`jnl`	A Machine Learning Approach to Improving Timing Consistency between Global Route and Detailed Route. ACM Trans. Design Autom. Electr. Syst. Vidya A. Chhabria, Wenjing Jiang, Andrew B. Kahng, Sachin S. Sapatnekar
2024	A	`conf`	Analyzing the Impact of FinFET Self-Heating on the Performance of RF Power Amplifiers. ICCAD Nibedita Karmokar, Sai-Wang Tam, Thanh Viet Dinh, Vidya A. Chhabria, Ramesh Harjani, Sachin S. Sapatnekar
2024	—	`conf`	Beyond the Surface: The Necessity for Detailed Metrics in Corporate Sustainability Reports. IGSC Chetan Choppali Sudarshan, Aman Arora, Vidya A. Chhabria
2024	A*	`conf`	ECO-CHIP: Estimation of Carbon Footprint of Chiplet-based Architectures for Sustainable VLSI. HPCA Chetan Choppali Sudarshan, Nikhil Matkar, Sarma B. K. Vrudhula, Sachin S. Sapatnekar, Vidya A. Chhabria
2024	J	`jnl`	EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD. CoRR Bing-Yue Wu, Utsav Sharma, Sai Rahul Dhanvi Kankipati, Ajay Yadav, Bintu Kappil George, Sai Ritish Guntupalli, Austin Rovinski, Vidya A. Chhabria
2024	B	`conf`	Exploiting 2.5D/3D Heterogeneous Integration for AI Computing. ASPDAC Zhenyu Wang, Jingbo Sun, A. Alper Goksoy, Sumit K. Mandal, Yaotian Liu, Jae-sun Seo, Chaitali Chakrabarti, Ümit Y. Ogras, Vidya A. Chhabria, Jeff Zhang, Yu Cao
2024	A	`conf`	Generative Methods in EDA: Innovations in Dataset Generation and EDA Tool Assistants. ICCAD Vidya A. Chhabria, Bing-Yue Wu, Utsav Sharma, Kishor Kunal, Austin Rovinski, Sachin S. Sapatnekar
2024	A*	`conf`	GreenFPGA: Evaluating FPGAs as Environmentally Sustainable Computing Solutions. DAC Chetan Choppali Sudarshan, Aman Arora, Vidya A. Chhabria
2024	—	`conf`	IR-Aware ECO Timing Optimization Using Reinforcement Learning. MLCAD Wenjing Jiang, Vidya A. Chhabria, Sachin S. Sapatnekar
2024	J	`jnl`	IR-Aware ECO Timing Optimization Using Reinforcement Learning. CoRR Vidya A. Chhabria, Wenjing Jiang, Sachin S. Sapatnekar
2024	Misc	`conf`	OpenROAD and CircuitOps: Infrastructure for ML EDA Research and Education. VTS Vidya A. Chhabria, Wenjing Jiang, Andrew B. Kahng, Rongjian Liang, Haoxing Ren, Sachin S. Sapatnekar, Bing-Yue Wu
2024	—	`conf`	OpenROAD-Assistant: An Open-Source Large Language Model for Physical Design Tasks. MLCAD Utsav Sharma, Bing-Yue Wu, Sai Rahul Dhanvi Kankipati, Vidya A. Chhabria, Austin Rovinski
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`	A Machine Learning Approach to Improving Timing Consistency between Global Route and Detailed Route. CoRR Vidya A. Chhabria, Wenjing Jiang, Andrew B. Kahng, Sachin S. Sapatnekar
2023	—	`conf`	Analysis of Pattern-dependent Rapid Thermal Annealing Effects on SRAM Design. ISQED Vidya A. Chhabria, Sachin S. Sapatnekar
2023	—	`conf`	Benchmarking Heterogeneous Integration with 2.5D/3D Interconnect Modeling. ASICON Zhenyu Wang, Jingbo Sun, A. Alper Goksoy, Sumit K. Mandal, Jae-sun Seo, Chaitali Chakrabarti, Ümit Y. Ogras, Vidya A. Chhabria, Yu Cao
2023	J	`jnl`	Encoder-Decoder Networks for Analyzing Thermal and Power Delivery Networks. ACM Trans. Design Autom. Electr. Syst. Vidya A. Chhabria, Vipul Ahuja, Ashwath Prabhu, Nikhil Patil, Palkesh Jain, Sachin S. Sapatnekar
2023	A	`conf`	Frequency-Domain Transient Electromigration Analysis Using Circuit Theory. ICCAD Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Nestoras E. Evmorfopoulos, Sachin S. Sapatnekar
2023	J	`jnl`	GreenFPGA: Evaluating FPGAs as Environmentally Sustainable Computing Solutions. CoRR Chetan Choppali Sudarshan, Aman Arora, Vidya A. Chhabria
2023	A	`conf`	Invited Paper: 2023 ICCAD CAD Contest Problem C: Static IR Drop Estimation Using Machine Learning. ICCAD Gana Surya Prakash Kadagala, Vidya A. Chhabria
2023	A	`conf`	Invited Paper: CircuitOps: An ML Infrastructure Enabling Generative AI for VLSI Circuit Optimization. ICCAD Rongjian Liang, Anthony Agnesina, Geraldo Pradipta, Vidya A. Chhabria, Haoxing Ren
2023	—	`conf`	Recent Progress in the Analysis of Electromigration and Stress Migration in Large Multisegment Interconnects. ISPD Nestor E. Evmorfopoulos, Mohammad Abdullah Al Shohel, Olympia Axelou, Pavlos Stoikos, Vidya A. Chhabria, Sachin S. Sapatnekar
2023	J	`jnl`	Towards Sustainable Computing: Assessing the Carbon Footprint of Heterogeneous Systems. CoRR Vidya A. Chhabria, Chetan Choppali Sudarshan, Sarma B. K. Vrudhula, Sachin S. Sapatnekar
2022	—	`conf`	From Global Route to Detailed Route: ML for Fast and Accurate Wire Parasitics and Timing Prediction. MLCAD Vidya A. Chhabria, Wenjing Jiang, Andrew B. Kahng, Sachin S. Sapatnekar
2022	J	`jnl`	OpeNPDN: A Neural-Network-Based Framework for Power Delivery Network Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Vidya A. Chhabria, Sachin S. Sapatnekar
2022	—	`conf`	XT-PRAGGMA: Crosstalk Pessimism Reduction Achieved with GPU Gate-level Simulations and Machine Learning. MLCAD Vidya A. Chhabria, Ben Keller, Yanqing Zhang, Sandeep Vollala, Sreedhar Pratty, Haoxing Ren, Brucek Khailany
2021	J	`jnl`	A Linear-Time Algorithm for Steady-State Analysis of Electromigration in General Interconnects. CoRR Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Sachin S. Sapatnekar
2021	A*	`conf`	A New, Computationally Efficient "Blech Criterion" for Immortality in General Interconnects. DAC Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Sachin S. Sapatnekar
2021	J	`jnl`	A New, Computationally Efficient "Blech Criterion" for Immortality in General Interconnects. CoRR Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Sachin S. Sapatnekar
2021	A	`conf`	Analytical Modeling of Transient Electromigration Stress based on Boundary Reflections. ICCAD Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Nestor E. Evmorfopoulos, Sachin S. Sapatnekar
2021	A	`conf`	BeGAN: Power Grid Benchmark Generation Using a Process-portable GAN-based Methodology. ICCAD Vidya A. Chhabria, Kishor Kunal, Masoud Zabihi, Sachin S. Sapatnekar
2021	J	`jnl`	Encoder-Decoder Networks for Analyzing Thermal and Power Delivery Networks. CoRR Vidya A. Chhabria, Vipul Ahuja, Ashwath Prabhu, Nikhil Patil, Palkesh Jain, Sachin S. Sapatnekar
2021	A	`conf`	MAVIREC: ML-Aided Vectored IR-Drop Estimation and Classification. DATE Vidya A. Chhabria, Yanqing Zhang, Haoxing Ren, Ben Keller, Brucek Khailany, Sachin S. Sapatnekar
2021	J	`jnl`	OpeNPDN: A Neural-network-based Framework for Power Delivery Network Synthesis. CoRR Vidya A. Chhabria, Sachin S. Sapatnekar
2021	—	`conf`	Thermal and IR Drop Analysis Using Convolutional Encoder-Decoder Networks. ASP-DAC Vidya A. Chhabria, Vipul Ahuja, Ashwath Prabhu, Nikhil Patil, Palkesh Jain, Sachin S. Sapatnekar
2020	J	`jnl`	MAVIREC: ML-Aided Vectored IR-DropEstimation and Classification. CoRR Vidya A. Chhabria, Yanqing Zhang, Haoxing Ren, Ben Keller, Brucek Khailany, Sachin S. Sapatnekar
2020	—	`conf`	Template-based PDN Synthesis in Floorplan and Placement Using Classifier and CNN Techniques. ASP-DAC Vidya A. Chhabria, Andrew B. Kahng, Minsoo Kim, Uday Mallappa, Sachin S. Sapatnekar, Bangqi Xu
2020	J	`jnl`	Thermal and IR Drop Analysis Using Convolutional Encoder-Decoder Networks. CoRR Vidya A. Chhabria, Vipul Ahuja, Ashwath Prabhu, Nikhil Patil, Palkesh Jain, Sachin S. Sapatnekar
2019	—	`conf`	Impact of Self-heating on Performance and Reliability in FinFET and GAAFET Designs. ISQED Vidya A. Chhabria, Sachin S. Sapatnekar
2019	A*	`conf`	Toward an Open-Source Digital Flow: First Learnings from the OpenROAD Project. DAC Tutu Ajayi, Vidya A. Chhabria, Mateus Fogaça, Soheil Hashemi, Abdelrahman Hosny, Andrew B. Kahng, Minsoo Kim, Jeongsup Lee, Uday Mallappa, Marina Neseem, Geraldo Pradipta, Sherief Reda, Mehdi Saligane, Sachin S. Sapatnekar, Carl Sechen, Mohamed Shalan, William Swartz, Lutong Wang, Zhehong Wang, Mingyu Woo, Bangqi Xu