| 2023 | HiPC | PARAG: PIM Architecture for Real-Time Acceleration of GCNs. | Gian Singh, Sanmukh R. Kuppannagari, Sarma B. K. Vrudhula |
| 2022 | FCCM | FPGA Accelerator for Homomorphic Encrypted Sparse Convolutional Neural Network Inference. | Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna |
| 2022 | HiPC | Input Feature Pruning for Accelerating GNN Inference on Heterogeneous Platforms. | Jason Yik, Sanmukh R. Kuppannagari, Hanqing Zeng, Viktor K. Prasanna |
| 2022 | ISPDC | Estimating the Impact of Communication Schemes for Distributed Graph Processing. | Tian Ye, Sanmukh R. Kuppannagari, Csar A. F. De Rose, Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna |
| 2021 | ACML | BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning. | Chi Zhang, Sanmukh R. Kuppannagari, Viktor K. Prasanna |
| 2021 | FPGA | DYNAMAP: Dynamic Algorithm Mapping Framework for Low Latency CNN Inference. | Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna |
| 2021 | FPL | FGYM: Toolkit for Benchmarking FPGA based Reinforcement Learning Algorithms. | Nathaniel Peura, Yuan Meng, Sanmukh R. Kuppannagari, Viktor K. Prasanna |
| 2021 | FPL | Performance Modeling and FPGA Acceleration of Homomorphic Encrypted Convolution. | Tian Ye, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna |
| 2021 | HiPC | How to Avoid Zero-Spacing in Fractionally-Strided Convolution? A Hardware-Algorithm Co-Design Methodology. | Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna |
| 2020 | DCOSS | Crowdsourced Edge: A Novel Networking Paradigm for the Collaborative Community. | Stphane Kuendig, Constantinos Marios Angelopoulos, Sanmukh R. Kuppannagari, Jos D. P. Rolim, Viktor K. Prasanna |
| 2020 | FCCM | Accelerating Proximal Policy Optimization on CPU-FPGA Heterogeneous Platforms. | Yuan Meng, Sanmukh R. Kuppannagari, Viktor K. Prasanna |
| 2020 | FPGA | QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators. | Rachit Rajat, Yuan Meng, Sanmukh R. Kuppannagari, Ajitesh Srivastava, Viktor K. Prasanna, Rajgopal Kannan |
| 2019 | HiPC | Future Energy Systems Introduction. | Sanmukh R. Kuppannagari, Chayan Sarkar |
| 2019 | SENSYS | Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation. | Chi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna |
| 2017 | SENSYS | Optimal net-load balancing in smart grids with high PV penetration. | Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna |
| 2016 | ICCS | Optimal Customer Targeting for Sustainable Demand Response in Smart Grids. | Sanmukh R. Kuppannagari, Rajgopal Kannan, Charalampos Chelmis, Arash Saber Tehrani, Viktor K. Prasanna |
| 2016 | IJCAI | Implementation of Learning-Based Dynamic Demand Response on a Campus Micro-Grid. | Sanmukh R. Kuppannagari, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna |
| 2015 | FPGA | Efficient Generation of Energy and Performance Pareto Front for FPGA Designs (Abstract Only). | Sanmukh R. Kuppannagari, Viktor K. Prasanna |