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ORCIDVidya A. Chhabria
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2020 – today
- 2024
[j3]Vidya A. Chhabria
, Wenjing Jiang, Andrew B. Kahng, Sachin S. Sapatnekar:
A Machine Learning Approach to Improving Timing Consistency between Global Route and Detailed Route. ACM Trans. Design Autom. Electr. Syst. 29(1): 18:1-18:25 (2024)- [c23]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:
Exploiting 2.5D/3D Heterogeneous Integration for AI Computing. ASPDAC 2024: 758-764 - [c22]Chetan Choppali Sudarshan, Aman Arora, Vidya A. Chhabria:
GreenFPGA: Evaluating FPGAs as Environmentally Sustainable Computing Solutions. DAC 2024: 320:1-320:6 - [c21]Chetan Choppali Sudarshan, Nikhil Matkar, Sarma B. K. Vrudhula, Sachin S. Sapatnekar, Vidya A. Chhabria:
ECO-CHIP: Estimation of Carbon Footprint of Chiplet-based Architectures for Sustainable VLSI. HPCA 2024: 671-685 - [c20]Vikram Gopalakrishnan, Bing-Yue Wu, Vidya Ashok Chhabria:
ML-INSIGHT: Machine Learning for Inrush Current Prediction and Power Switch Network Improvement. ISLPED 2024: 1-6 - [c19]Wenjing Jiang, Vidya A. Chhabria, Sachin S. Sapatnekar:
IR-Aware ECO Timing Optimization Using Reinforcement Learning. MLCAD 2024: 7:1-7:7 - [c18]Utsav Sharma, Bing-Yue Wu, Sai Rahul Dhanvi Kankipati, Vidya A. Chhabria, Austin Rovinski:
OpenROAD-Assistant: An Open-Source Large Language Model for Physical Design Tasks. MLCAD 2024: 22:1-22:7 - [c17]Vidya A. Chhabria, Wenjing Jiang, Andrew B. Kahng, Rongjian Liang, Haoxing Ren, Sachin S. Sapatnekar, Bing-Yue Wu:
OpenROAD and CircuitOps: Infrastructure for ML EDA Research and Education. VTS 2024: 1-4 - [i11]Vidya A. Chhabria, Wenjing Jiang, Sachin S. Sapatnekar:
IR-Aware ECO Timing Optimization Using Reinforcement Learning. CoRR abs/2402.07781 (2024) - [i10]Bing-Yue Wu, Utsav Sharma, Sai Rahul Dhanvi Kankipati, Ajay Yadav, Bintu Kappil George, Sai Ritish Guntupalli, Austin Rovinski, Vidya A. Chhabria:
EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD. CoRR abs/2405.06676 (2024) - 2023
- [j2]Vidya A. Chhabria, Vipul Ahuja, Ashwath Prabhu, Nikhil Patil, Palkesh Jain, Sachin S. Sapatnekar:
Encoder-Decoder Networks for Analyzing Thermal and Power Delivery Networks. ACM Trans. Design Autom. Electr. Syst. 28(1): 3:1-3:27 (2023) - [c16]Zhenyu Wang, Jingbo Sun, A. Alper Goksoy, Sumit K. Mandal, Jae-Sun Seo, Chaitali Chakrabarti, Ümit Y. Ogras, Vidya A. Chhabria, Yu Cao:
Benchmarking Heterogeneous Integration with 2.5D/3D Interconnect Modeling. ASICON 2023: 1-4 - [c15]Gana Surya Prakash Kadagala, Vidya A. Chhabria:
Invited Paper: 2023 ICCAD CAD Contest Problem C: Static IR Drop Estimation Using Machine Learning. ICCAD 2023: 1-5 - [c14]Rongjian Liang, Anthony Agnesina, Geraldo Pradipta, Vidya A. Chhabria, Haoxing Ren:
Invited Paper: CircuitOps: An ML Infrastructure Enabling Generative AI for VLSI Circuit Optimization. ICCAD 2023: 1-6 - [c13]Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Nestoras E. Evmorfopoulos, Sachin S. Sapatnekar:
Frequency-Domain Transient Electromigration Analysis Using Circuit Theory. ICCAD 2023: 1-8 - [c12]Nestor E. Evmorfopoulos, Mohammad Abdullah Al Shohel, Olympia Axelou, Pavlos Stoikos, Vidya A. Chhabria, Sachin S. Sapatnekar:
Recent Progress in the Analysis of Electromigration and Stress Migration in Large Multisegment Interconnects. ISPD 2023: 115-123 - [c11]Vidya A. Chhabria, Sachin S. Sapatnekar:
Analysis of Pattern-dependent Rapid Thermal Annealing Effects on SRAM Design. ISQED 2023: 1-7 - [i9]Vidya A. Chhabria, Wenjing Jiang, Andrew B. Kahng, Sachin S. Sapatnekar:
A Machine Learning Approach to Improving Timing Consistency between Global Route and Detailed Route. CoRR abs/2305.06917 (2023) - [i8]Vidya A. Chhabria, Chetan Choppali Sudarshan, Sarma B. K. Vrudhula, Sachin S. Sapatnekar:
Towards Sustainable Computing: Assessing the Carbon Footprint of Heterogeneous Systems. CoRR abs/2306.09434 (2023) - [i7]Chetan Choppali Sudarshan, Aman Arora, Vidya A. Chhabria:
GreenFPGA: Evaluating FPGAs as Environmentally Sustainable Computing Solutions. CoRR abs/2311.12396 (2023) - 2022
- [j1]Vidya A. Chhabria, Sachin S. Sapatnekar:
OpeNPDN: A Neural-Network-Based Framework for Power Delivery Network Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(10): 3515-3528 (2022) - [c10]Vidya A. Chhabria, Wenjing Jiang, Andrew B. Kahng, Sachin S. Sapatnekar:
From Global Route to Detailed Route: ML for Fast and Accurate Wire Parasitics and Timing Prediction. MLCAD 2022: 7-14 - [c9]Vidya A. Chhabria, Ben Keller, Yanqing Zhang, Sandeep Vollala, Sreedhar Pratty, Haoxing Ren, Brucek Khailany:
XT-PRAGGMA: Crosstalk Pessimism Reduction Achieved with GPU Gate-level Simulations and Machine Learning. MLCAD 2022: 63-69 - 2021
- [c8]Vidya A. Chhabria, Vipul Ahuja, Ashwath Prabhu, Nikhil Patil, Palkesh Jain, Sachin S. Sapatnekar:
Thermal and IR Drop Analysis Using Convolutional Encoder-Decoder Networks. ASP-DAC 2021: 690-696 - [c7]Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Sachin S. Sapatnekar:
A New, Computationally Efficient "Blech Criterion" for Immortality in General Interconnects. DAC 2021: 913-918 - [c6]Vidya A. Chhabria, Yanqing Zhang, Haoxing Ren, Ben Keller, Brucek Khailany, Sachin S. Sapatnekar:
MAVIREC: ML-Aided Vectored IR-Drop Estimation and Classification. DATE 2021: 1825-1828 - [c5]Vidya A. Chhabria, Kishor Kunal, Masoud Zabihi, Sachin S. Sapatnekar:
BeGAN: Power Grid Benchmark Generation Using a Process-portable GAN-based Methodology. ICCAD 2021: 1-8 - [c4]Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Nestor E. Evmorfopoulos, Sachin S. Sapatnekar:
Analytical Modeling of Transient Electromigration Stress based on Boundary Reflections. ICCAD 2021: 1-8 - [i6]Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Sachin S. Sapatnekar:
A New, Computationally Efficient "Blech Criterion" for Immortality in General Interconnects. CoRR abs/2105.08784 (2021) - [i5]Vidya A. Chhabria, Sachin S. Sapatnekar:
OpeNPDN: A Neural-network-based Framework for Power Delivery Network Synthesis. CoRR abs/2110.14184 (2021) - [i4]Vidya A. Chhabria, Vipul Ahuja, Ashwath Prabhu, Nikhil Patil, Palkesh Jain, Sachin S. Sapatnekar:
Encoder-Decoder Networks for Analyzing Thermal and Power Delivery Networks. CoRR abs/2110.14197 (2021) - [i3]Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Sachin S. Sapatnekar:
A Linear-Time Algorithm for Steady-State Analysis of Electromigration in General Interconnects. CoRR abs/2112.13451 (2021) - 2020
- [c3]Vidya A. Chhabria, Andrew B. Kahng, Minsoo Kim, Uday Mallappa, Sachin S. Sapatnekar, Bangqi Xu:
Template-based PDN Synthesis in Floorplan and Placement Using Classifier and CNN Techniques. ASP-DAC 2020: 44-49 - [i2]Vidya A. Chhabria, Vipul Ahuja, Ashwath Prabhu, Nikhil Patil, Palkesh Jain, Sachin S. Sapatnekar:
Thermal and IR Drop Analysis Using Convolutional Encoder-Decoder Networks. CoRR abs/2009.09009 (2020) - [i1]Vidya A. Chhabria, Yanqing Zhang, Haoxing Ren, Ben Keller, Brucek Khailany, Sachin S. Sapatnekar:
MAVIREC: ML-Aided Vectored IR-DropEstimation and Classification. CoRR abs/2012.10597 (2020)
2010 – 2019
- 2019
- [c2]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:
Toward an Open-Source Digital Flow: First Learnings from the OpenROAD Project. DAC 2019: 76 - [c1]Vidya A. Chhabria, Sachin S. Sapatnekar:
Impact of Self-heating on Performance and Reliability in FinFET and GAAFET Designs. ISQED 2019: 235-240
Coauthor Index
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