Uday Mallappa - RankMe

16 papers A* 2A 3C 2Journal 6Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing. CoRR Haichao Yang, Chang Eun Song, Weihong Xu, Behnam Khaleghi, Uday Mallappa, Monil Shah, Keming Fan, Mingu Kang, Tajana Rosing
2024	A	`conf`	FloorSet - a VLSI Floorplanning Dataset with Design Constraints of Real-World SOCs. ICCAD Uday Mallappa, Hesham Mostafa, Mikhail Galkin, Mariano Phielipp, Somdeb Majumdar
2024	J	`jnl`	FloorSet - a VLSI Floorplanning Dataset with Design Constraints of Real-World SoCs. CoRR Uday Mallappa, Hesham Mostafa, Michael Galkin, Mariano Phielipp, Somdeb Majumdar
2024	J	`jnl`	PARSAC: Fast, Human-quality Floorplanning for Modern SoCs with Complex Design Constraints. CoRR Hesham Mostafa, Uday Mallappa, Mikhail Galkin, Mariano Phielipp, Somdeb Majumdar
2023	J	`jnl`	DAGSizer: A Directed Graph Convolutional Network Approach to Discrete Gate Sizing of VLSI Graphs. ACM Trans. Design Autom. Electr. Syst. Chung-Kuan Cheng, Chester Holtz, Andrew B. Kahng, Bill Lin, Uday Mallappa
2022	—	`—`	AI for Design Optimization and Design for AI Acceleration Uday Mallappa
2022	J	`jnl`	JARVA: Joint Application-Aware Oblivious Routing and Static Virtual Channel Allocation. IEEE Des. Test Uday Mallappa, Chung-Kuan Cheng, Bill Lin
2022	J	`jnl`	Joint Application-Aware Oblivious Routing and Static Virtual Channel Allocation. IEEE Embed. Syst. Lett. Uday Mallappa, Chung-Kuan Cheng, Bill Lin
2022	A*	`conf`	PatterNet: explore and exploit filter patterns for efficient deep neural networks. DAC Behnam Khaleghi, Uday Mallappa, Duygu Yaldiz, Haichao Yang, Monil Shah, Jaeyoung Kang, Tajana Rosing
2022	A	`conf`	RLPlace: Deep RL Guided Heuristics for Detailed Placement Optimization. DATE Uday Mallappa, Sreedhar Pratty, David Brown
2022	C	`conf`	TermiNETor: Early Convolution Termination for Efficient Deep Neural Networks. ICCD Uday Mallappa, Pranav Gangwar, Behnam Khaleghi, Haichao Yang, Tajana Rosing
2021	—	`conf`	GRA-LPO: Graph Convolution Based Leakage Power Optimization. ASP-DAC Uday Mallappa, Chung-Kuan Cheng
2020	—	`conf`	Template-based PDN Synthesis in Floorplan and Placement Using Classifier and CNN Techniques. ASP-DAC Vidya A. Chhabria, Andrew B. Kahng, Minsoo Kim, Uday Mallappa, Sachin S. Sapatnekar, Bangqi Xu
2019	A	`conf`	"Unobserved Corner" Prediction: Reducing Timing Analysis Effort for Faster Design Convergence in Advanced-Node Design. DATE Andrew B. Kahng, Uday Mallappa, Lawrence K. Saul, Shangyuan Tong
2019	A*	`conf`	Toward an Open-Source Digital Flow: First Learnings from the OpenROAD Project. DAC 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
2018	C	`conf`	Using Machine Learning to Predict Path-Based Slack from Graph-Based Timing Analysis. ICCD Andrew B. Kahng, Uday Mallappa, Lawrence K. Saul