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Sanjay Sri Vallabh Singapuram
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2020 – today
- 2024
- [j1]Kuan-Yu Chen, Thomas Mason Nelson, Alireza Khadem, Morteza Fayazi, Sanjay Sri Vallabh Singapuram, Ronald G. Dreslinski, Nishil Talati, Hun-Seok Kim, David T. Blaauw:
Canalis: A Throughput-Optimized Framework for Real-Time Stream Processing of Wireless Communication. ACM Trans. Reconfigurable Technol. Syst. 17(4): 61:1-61:32 (2024) - 2023
- [c6]Sanjay Sri Vallabh Singapuram, Chuheng Hu, Fan Lai, Chengsong Zhang, Mosharaf Chowdhury:
Flamingo: A User-Centric System for Fast and Energy-Efficient DNN Training on Smartphones. DistributedML@CoNEXT 2023: 1-10 - 2022
- [c5]Fan Lai, Yinwei Dai, Sanjay Sri Vallabh Singapuram, Jiachen Liu, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale. ICML 2022: 11814-11827 - [c4]Ze Zhang, Sanjay Sri Vallabh Singapuram, Qingzhao Zhang, David Ke Hong, Brandon Nguyen, Z. Morley Mao, Scott A. Mahlke, Qi Alfred Chen:
AVMaestro: A Centralized Policy Enforcement Framework for Safe Autonomous-driving Environments. IV 2022: 1333-1339 - [i1]Sanjay Sri Vallabh Singapuram, Fan Lai, Chuheng Hu, Mosharaf Chowdhury:
Swan: A Neural Engine for Efficient DNN Training on Smartphone SoCs. CoRR abs/2206.04687 (2022) - 2020
- [c3]Ze Zhang, Qingzhao Zhang, Brandon Nguyen, Sanjay Sri Vallabh Singapuram, Z. Morley Mao, Scott A. Mahlke:
Automatic Feature Isolation in Network Protocol Software Implementations. FEAST@CCS 2020: 29-34
2010 – 2019
- 2019
- [c2]Muthian Sivathanu, Tapan Chugh, Sanjay Sri Vallabh Singapuram, Lidong Zhou:
Astra: Exploiting Predictability to Optimize Deep Learning. ASPLOS 2019: 909-923 - 2016
- [c1]Mahnaz Mohammadi, Rohit Ronge, Sanjay Sri Vallabh Singapuram, S. K. Nandy:
Performance Evaluation of Feed-Forward Backpropagation Neural Network for Classification on a Reconfigurable Hardware Architecture. ARC 2016: 312-319
Coauthor Index
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