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Uday Mallappa
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2020 – today
- 2023
- [j3]Chung-Kuan Cheng, Chester Holtz, Andrew B. Kahng, Bill Lin, Uday Mallappa:
DAGSizer: A Directed Graph Convolutional Network Approach to Discrete Gate Sizing of VLSI Graphs. ACM Trans. Design Autom. Electr. Syst. 28(4): 52:1-52:31 (2023) - 2022
- [j2]Uday Mallappa, Chung-Kuan Cheng, Bill Lin:
JARVA: Joint Application-Aware Oblivious Routing and Static Virtual Channel Allocation. IEEE Des. Test 39(6): 16-27 (2022) - [j1]Uday Mallappa, Chung-Kuan Cheng, Bill Lin:
Joint Application-Aware Oblivious Routing and Static Virtual Channel Allocation. IEEE Embed. Syst. Lett. 14(4): 175-178 (2022) - [c8]Behnam Khaleghi, Uday Mallappa, Duygu Yaldiz, Haichao Yang, Monil Shah, Jaeyoung Kang, Tajana Rosing:
PatterNet: explore and exploit filter patterns for efficient deep neural networks. DAC 2022: 223-228 - [c7]Uday Mallappa, Sreedhar Pratty, David Brown:
RLPlace: Deep RL Guided Heuristics for Detailed Placement Optimization. DATE 2022: 120-123 - [c6]Uday Mallappa, Pranav Gangwar, Behnam Khaleghi, Haichao Yang, Tajana Rosing:
TermiNETor: Early Convolution Termination for Efficient Deep Neural Networks. ICCD 2022: 635-643 - 2021
- [c5]Uday Mallappa, Chung-Kuan Cheng:
GRA-LPO: Graph Convolution Based Leakage Power Optimization. ASP-DAC 2021: 697-702 - 2020
- [c4]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
2010 – 2019
- 2019
- [c3]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 - [c2]Andrew B. Kahng, Uday Mallappa, Lawrence K. Saul, Shangyuan Tong:
"Unobserved Corner" Prediction: Reducing Timing Analysis Effort for Faster Design Convergence in Advanced-Node Design. DATE 2019: 168-173 - 2018
- [c1]Andrew B. Kahng, Uday Mallappa, Lawrence K. Saul:
Using Machine Learning to Predict Path-Based Slack from Graph-Based Timing Analysis. ICCD 2018: 603-612
Coauthor Index
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last updated on 2023-12-06 21:24 CET by the dblp team
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