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Vidya A. Chhabria
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2020 – today
- 2024
- [j3]Vidya A. Chhabria
, Wenjing Jiang
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) - [c24]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 - [c23]Chetan Choppali Sudarshan
GreenFPGA: Evaluating FPGAs as Environmentally Sustainable Computing Solutions. DAC 2024: 320:1-320:6 - [c22]Chetan Choppali Sudarshan, Aman Arora, Vidya A. Chhabria:
Beyond the Surface: The Necessity for Detailed Metrics in Corporate Sustainability Reports. IGSC 2024: 145-150 - [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
ML-INSIGHT: Machine Learning for Inrush Current Prediction and Power Switch Network Improvement. ISLPED 2024: 1-6 - [c19]Wenjing Jiang
IR-Aware ECO Timing Optimization Using Reinforcement Learning. MLCAD 2024: 7:1-7:7 - [c18]Utsav Sharma
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
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
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
Frequency-Domain Transient Electromigration Analysis Using Circuit Theory. ICCAD 2023: 1-8 - [c12]Nestor E. Evmorfopoulos
Recent Progress in the Analysis of Electromigration and Stress Migration in Large Multisegment Interconnects. ISPD 2023: 115-123 - [c11]Vidya A. Chhabria
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
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
From Global Route to Detailed Route: ML for Fast and Accurate Wire Parasitics and Timing Prediction. MLCAD 2022: 7-14 - [c9]Vidya A. Chhabria
XT-PRAGGMA: Crosstalk Pessimism Reduction Achieved with GPU Gate-level Simulations and Machine Learning. MLCAD 2022: 63-69 - 2021
- [c8]Vidya A. Chhabria
Thermal and IR Drop Analysis Using Convolutional Encoder-Decoder Networks. ASP-DAC 2021: 690-696 - [c7]Mohammad Abdullah Al Shohel, Vidya A. Chhabria
A New, Computationally Efficient "Blech Criterion" for Immortality in General Interconnects. DAC 2021: 913-918 - [c6]Vidya A. Chhabria
MAVIREC: ML-Aided Vectored IR-Drop Estimation and Classification. DATE 2021: 1825-1828 - [c5]Vidya A. Chhabria
BeGAN: Power Grid Benchmark Generation Using a Process-portable GAN-based Methodology. ICCAD 2021: 1-8 - [c4]Mohammad Abdullah Al Shohel, Vidya A. Chhabria
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
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
Toward an Open-Source Digital Flow: First Learnings from the OpenROAD Project. DAC 2019: 76 - [c1]Vidya A. Chhabria
Impact of Self-heating on Performance and Reliability in FinFET and GAAFET Designs. ISQED 2019: 235-240
Coauthor Index
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