Sanjay Sri Vallabh Singapuram

According to our database, Sanjay Sri Vallabh Singapuram authored at least 8 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Canalis: A Throughput-Optimized Framework for Real-Time Stream Processing of Wireless Communication.

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

ACM Trans. Reconfigurable Technol. Syst., December, 2024

2023

Flamingo: A User-Centric System for Fast and Energy-Efficient DNN Training on Smartphones.

Sanjay Sri Vallabh Singapuram, Chuheng Hu, Fan Lai, Chengsong Zhang, Mosharaf Chowdhury

Proceedings of the 4th International Workshop on Distributed Machine Learning, 2023

2022

Swan: A Neural Engine for Efficient DNN Training on Smartphone SoCs.

Sanjay Sri Vallabh Singapuram, Fan Lai, Chuheng Hu, Mosharaf Chowdhury

CoRR, 2022

AVMaestro: A Centralized Policy Enforcement Framework for Safe Autonomous-driving Environments.

Ze Zhang, Sanjay Sri Vallabh Singapuram, Qingzhao Zhang, David Ke Hong, Brandon Nguyen, Z. Morley Mao, Scott A. Mahlke, Qi Alfred Chen

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

FedScale: Benchmarking Model and System Performance of Federated Learning at Scale.

Fan Lai, Yinwei Dai, Sanjay Sri Vallabh Singapuram, Jiachen Liu, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury

Proceedings of the International Conference on Machine Learning, 2022

2020

Automatic Feature Isolation in Network Protocol Software Implementations.

Ze Zhang, Qingzhao Zhang, Brandon Nguyen, Sanjay Sri Vallabh Singapuram, Z. Morley Mao, Scott A. Mahlke

Proceedings of the 2020 ACM Workshop on Forming an Ecosystem Around Software Transformation, 2020

2019

Astra: Exploiting Predictability to Optimize Deep Learning.

Muthian Sivathanu, Tapan Chugh, Sanjay Sri Vallabh Singapuram, Lidong Zhou

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2016

Performance Evaluation of Feed-Forward Backpropagation Neural Network for Classification on a Reconfigurable Hardware Architecture.

Mahnaz Mohammadi, Rohit Ronge, Sanjay Sri Vallabh Singapuram, S. K. Nandy

Proceedings of the Applied Reconfigurable Computing - 12th International Symposium, 2016