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 001 (ARC, 2016)

Astra: Exploiting Predictability to Optimize Deep Learning. - Muthian Sivathanu; Tapan Chugh; Sanjay Sri Vallabh Singapuram; Lidong Zhou (ASPLOS, 2019)

Automatic Feature Isolation in Network Protocol Software Implementations. - Ze Zhang; Qingzhao Zhang; Brandon Nguyen; Sanjay Sri Vallabh Singapuram; Z. Morley Mao; Scott A. Mahlke (FEAST@CCS, 2020)

FedScale: Benchmarking Model and System Performance of Federated Learning at Scale. - Fan Lai 001; Yinwei Dai; Sanjay Sri Vallabh Singapuram; Jiachen Liu; Xiangfeng Zhu; Harsha V. Madhyastha; Mosharaf Chowdhury (ICML, 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 (IV, 2022)

Swan: A Neural Engine for Efficient DNN Training on Smartphone SoCs. - Sanjay Sri Vallabh Singapuram; Fan Lai 001; Chuheng Hu; Mosharaf Chowdhury (CoRR, 2022)

Flamingo: A User-Centric System for Fast and Energy-Efficient DNN Training on Smartphones. - Sanjay Sri Vallabh Singapuram; Chuheng Hu; Fan Lai 001; Chengsong Zhang; Mosharaf Chowdhury (DistributedML@CoNEXT, 2023)

Canalis: A Throughput-Optimized Framework for Real-Time Stream Processing of Wireless Communication. - Kuan-Yu Chen 001; 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., 2024)

NMP-PaK: Near-Memory Processing Acceleration of Scalable De Novo Genome Assembly. - Heewoo Kim; Sanjay Sri Vallabh Singapuram; Haojie Ye; Joseph Izraelevitz; Trevor N. Mudge; Ronald G. Dreslinski; Nishil Talati (ISCA, 2025)

Mayura: Exploiting Similarities in Motifs for Temporal Co-Mining. - Sanjay Sri Vallabh Singapuram; Ronald G. Dreslinski; Nishil Talati (CoRR, 2025)