Sanjay Sri Vallabh Singapuram

12 papers A* 3C 1Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Mayura: Exploiting Similarities in Motifs for Temporal Co-Mining.
CoRR
Sanjay Sri Vallabh Singapuram, Ronald G. Dreslinski, Nishil Talati
2025 J jnl
Mayura: Exploiting Similarities in Motifs for Temporal Co-Mining.
Proc. VLDB Endow.
Sanjay Sri Vallabh Singapuram, Ronald G. Dreslinski, Nishil Talati
2025 A* conf
NMP-PaK: Near-Memory Processing Acceleration of Scalable De Novo Genome Assembly.
ISCA
Heewoo Kim, Sanjay Sri Vallabh Singapuram, Haojie Ye, Joseph Izraelevitz, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati
2025 J jnl
NMP-PaK: Near-Memory Processing Acceleration of Scalable De Novo Genome Assembly.
CoRR
Heewoo Kim, Sanjay Sri Vallabh Singapuram, Haojie Ye, Joseph Izraelevitz, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati
2024 J jnl
Canalis: A Throughput-Optimized Framework for Real-Time Stream Processing of Wireless Communication.
ACM Trans. Reconfigurable Technol. Syst.
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
2023 — conf
Flamingo: A User-Centric System for Fast and Energy-Efficient DNN Training on Smartphones.
DistributedML@CoNEXT
Sanjay Sri Vallabh Singapuram, Chuheng Hu, Fan Lai, Chengsong Zhang, Mosharaf Chowdhury
2022 C conf
AVMaestro: A Centralized Policy Enforcement Framework for Safe Autonomous-driving Environments.
IV
Ze Zhang, Sanjay Sri Vallabh Singapuram, Qingzhao Zhang, David Ke Hong, Brandon Nguyen, Z. Morley Mao, Scott A. Mahlke, Qi Alfred Chen
2022 A* conf
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale.
ICML
Fan Lai, Yinwei Dai, Sanjay Sri Vallabh Singapuram, Jiachen Liu, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
2022 J jnl
Swan: A Neural Engine for Efficient DNN Training on Smartphone SoCs.
CoRR
Sanjay Sri Vallabh Singapuram, Fan Lai, Chuheng Hu, Mosharaf Chowdhury
2020 — conf
Automatic Feature Isolation in Network Protocol Software Implementations.
FEAST@CCS
Ze Zhang, Qingzhao Zhang, Brandon Nguyen, Sanjay Sri Vallabh Singapuram, Z. Morley Mao, Scott A. Mahlke
2019 A* conf
Astra: Exploiting Predictability to Optimize Deep Learning.
ASPLOS
Muthian Sivathanu, Tapan Chugh, Sanjay Sri Vallabh Singapuram, Lidong Zhou
2016 — conf
Performance Evaluation of Feed-Forward Backpropagation Neural Network for Classification on a Reconfigurable Hardware Architecture.
ARC
Mahnaz Mohammadi, Rohit Ronge, Sanjay Sri Vallabh Singapuram, S. K. Nandy