Vidya A. Chhabria

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 33

Top Topics

Machine Learning

Top Venues

Publications

Vidya A. Chhabria, Wenjing Jiang, Sachin S. Sapatnekar
IR-Aware ECO Timing Optimization Using Reinforcement Learning. CoRR (2024)
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)
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) (2024)
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)
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)
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 (2024)
Vidya A. Chhabria, Chetan Choppali Sudarshan, Sarma Vrudhula, Sachin S. Sapatnekar
Towards Sustainable Computing: Assessing the Carbon Footprint of Heterogeneous Systems. CoRR (2023)
Chetan Choppali Sudarshan, Aman Arora, Vidya A. Chhabria
GreenFPGA: Evaluating FPGAs as Environmentally Sustainable Computing Solutions. CoRR (2023)
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)
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) (2023)
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)
Vidya A. Chhabria, Sachin S. Sapatnekar
Analysis of Pattern-dependent Rapid Thermal Annealing Effects on SRAM Design. ISQED (2023)
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)
Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Nestoras E. Evmorfopoulos, Sachin S. Sapatnekar
Frequency-Domain Transient Electromigration Analysis Using Circuit Theory. ICCAD (2023)
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 (2023)
Gana Surya Prakash Kadagala, Vidya A. Chhabria
Invited Paper: 2023 ICCAD CAD Contest Problem C: Static IR Drop Estimation Using Machine Learning. ICCAD (2023)
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) (2022)
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)
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)
Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Sachin S. Sapatnekar
A New, Computationally Efficient "Blech Criterion" for Immortality in General Interconnects. CoRR (2021)
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)
Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Sachin S. Sapatnekar
A Linear-Time Algorithm for Steady-State Analysis of Electromigration in General Interconnects. CoRR (2021)
Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Sachin S. Sapatnekar
A New, Computationally Efficient "Blech Criterion" for Immortality in General Interconnects. DAC (2021)
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 (2021)
Vidya A. Chhabria, Kishor Kunal, Masoud Zabihi, Sachin S. Sapatnekar
BeGAN: Power Grid Benchmark Generation Using a Process-portable GAN-based Methodology. ICCAD (2021)
Vidya A. Chhabria, Sachin S. Sapatnekar
OpeNPDN: A Neural-network-based Framework for Power Delivery Network Synthesis. CoRR (2021)
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)
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)
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 (2020)
Vidya A. Chhabria, Yanqing Zhang, Haoxing Ren, Ben Keller, Brucek Khailany, Sachin S. Sapatnekar
MAVIREC: ML-Aided Vectored IR-DropEstimation and Classification. CoRR (2020)
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)
Vidya A. Chhabria, Sachin S. Sapatnekar
Impact of Self-heating on Performance and Reliability in FinFET and GAAFET Designs. ISQED (2019)
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)