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Vidya 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) - [c18]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 - [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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last updated on 2024-08-05 20:16 CEST by the dblp team
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