Nathaniel Peura, Yuan Meng, Sanmukh R. Kuppannagari, and Viktor K. Prasanna, FGYM: Toolkit for Benchmarking FPGA based Reinforcement Learning Algorithms, The International Conference on Field-Programmable Logic and Applications (FPL) - Demo Track, September 2021.
Tian Ye, Sanmukh R Kuppannagari, Rajgopal Kannan, and Viktor K Prasanna, Performance Modeling and FPGA Acceleration of Homorphic Encrypted Convolution, The International Conference on Field-Programmable Logic and Applications (FPL), September 2021.
Tian Ye, Yang Yang, Sanmukh R Kuppannagari, Rajgopal Kannan, and Viktor K Prasanna, FPGA Acceleration of Number Theoretic Transform, ISC High Performance 2021, June 2021.
Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, and Viktor K. Prasanna, DYNAMAP: Dynamic Algorithm Mapping Framework for Low Latency CNN Inference, The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, February 2021.
Yuan Meng, Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, and Viktor K. Prasanna, How to Efficiently Train Your AI Agent? Characterizing and Evaluating Deep Reinforcement Learning on Heterogeneous Platforms, 2020 IEEE High Performance Extreme Computing Conference (HPEC). Outstanding Student Paper Award. September 2020.
Ruizhi Zhang, Sasindu Wijeratne, Yang Yang, Sanmukh Rao Kuppannagari, and Viktor K. Prasanna, A High Throughput Parallel Hash Table on FPGA using XOR-based Memory, 2020 IEEE High Performance Extreme Computing Conference (HPEC), September 2020.
Yuan Meng, Sanmukh R. Kuppannagari, Rachit Rajat, Ajitesh Srivastava, Rajgopal Kannan, and Viktor K Prasanna, QTAccel: Generic FPGA Design for Q-Table based Reinforcement Learning Accelerators, 27th Reconfigurable Architectures Workshop (RAW), May 2020.
Yuan Meng, Sanmukh R. Kuppannagari, and Viktor K. Prasanna, Accelerating Proximal Policy Optimization on CPU-FPGA Heterogeneous Platforms, 28th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), May 2020.
Rachit Rajat, Yuan Meng, Sanmukh R. Kuppannagari, Ajitesh Srivastava, Viktor Prasanna, and Rajgopal Kannan, QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators, The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays. Abstract Only, February 2020.
Yang Yang, Sanmukh R. Kuppannagari, Ajitesh Srivastava, Rajgopal Kannan, and Viktor K Prasanna, FASTHash: FPGA-based High Throughput Parallel Hash Table, ISC High Performance 2020, June 2020.
Sanmukh R. Kuppannagari, Rachit Rajat, Rajgopal Kannan, Aravind Dasu and Viktor K. Prasanna, IP Cores for Graph Kernels on FPGAs, IEEE 23rd International Conference on High Performance Extreme Computing (HPEC ’19), September 2019.
Akshit Goel, Sanmukh R. Kuppannagari, Yang Yang, Ajitesh Srivastava and Viktor K. Prasanna, Parallel Totally Induced Edge Sampling on FPGAs,Parallel Computing with FPGAs (ParFPGA2019), September 2019.
Sanmukh R. Kuppannagari and Viktor K. Prasanna, Efficient Generation of Energy and Performance Pareto front for FPGA Designs (Abstract Only), 2015 the ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA ’15), February 2015.
Sanmukh R. Kuppannagari, Yusong Hu and Viktor K. Prasanna, High Level Performance Model Based Design Space Exploration for Energy-Effcient Designs on FPGAs, The 5th International Green Computing Conference (IGCC'14), November 2014.
Sanmukh R. Kuppannagari, Shreyas G. Singapura, Ren Chen, Andrea Sanny, Geoffrey Phi C. Tran, Shijie Zhou, Yusong Hu, Stephen P. Crago, Viktor K. Prasanna, Energy Performance of FPGAs on PERFECT Suite Kernels, IEEE 18th International Conference on High Performance Extreme Computing (HPEC '14), September 2014.
Smart Grid
Chung Ming Cheung, Sanmukh Rao Kuppannagari, and Viktor K Prasanna, Socio-Demographic Characteristics Prediction using Soft Clustering of Load Consumption Data, 2021 Future Technologies Conference (FTC), September 2021.
Sanmukh R Kuppannagari, Yao Fu, Chung Ming Chueng, and Viktor K Prasanna, Spatio-Temporal Missing Data Imputation for Smart Power Grid, The 3rd International Workshop on Applied Machine Learning for Intelligent Energy Systems (AMLIES 2021), co-located with the Twelfth ACM International Conference on Future Energy Systems (eEnergy), June 2021.
Chung M. Chueng, Sanmukh R. Kuppannagari, Rajgopal Kannan and Viktor K. Prasanna, 'Disaggregation of Behind-the-Meter Solar Generation in Presence of Energy Storage Resources, The 7th Annual Conference on Technologies for Sustainability (SusTech), April 2020.
Chung M. Chueng, Sanmukh R. Kuppannagari, Rajgopal Kannan and Viktor K. Prasanna, Load Demand User Profiling in Smart Grids with Distributed Solar Generation, The Eleventh Conference on Innovative Smart Grid Technology (ISGT 2020), February 2020.
Chi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan and Viktor K. Prasanna, Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation, The 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2019), November 2019.
Sanmukh R. Kuppannagari, Rajgopal Kannan and Viktor K. Prasanna, Approximate Scheduling of DERs with Discrete Complex Injections, Tenth ACM International Conference on Future Energy Systems (ACM e-Energy), June 2019.
Chung M. Chueng, Sanmukh R. Kuppannagari, Rajgopal Kannan and Viktor K. Prasanna, Towards Improved Real-Time Observability of Behind-Meter PhotoVoltaic Systems: A Data-Driven Approach, ACM e-Energy Second International Workshop on Energy Data and Analytics, June 2019.
Chi Zhang, Sanmukh R. Kuppannagari, C. Xiong, Rajgopal Kannan and Viktor K. Prasanna, A Coop- erative Multi-agent Deep Reinforcement Learning Framework for Real-Time Residential Load Scheduling, ACM/IEEE Conference on Internet of Things Design and Implementation, 2019, April 2019.
Ajitesh Srivastava, Sanmukh R. Kuppannagari, Rajgopal Kannan and Viktor K. Prasanna, Minimizing Cost of Smart Grid Operations by Scheduling Mobile Energy Storage Systems, IEEE Letters of the Computer Society, 2019
Athanasios A. Rompokos, Sanmukh R. Kuppannagari, Dominik Engel and Viktor K. Prasanna, Minimizing Cost of Load Matching in Multiple Micro-Grids Using MESS, 6th IEEE Conference on Technologies for Sustainability, November 2018.
Stefan Binna, Sanmukh R. Kuppannagari, Dominik Engel and Viktor K. Prasanna, Subset Level Detection of False Data Injection Attacks in Smart Grids, 6th IEEE Conference on Technologies for Sustainability, November 2018.
Chi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan and Viktor K. Prasanna, Generative Ad- versarial Network for Synthetic Time Series Data Generation in Smart Grids, 2018 IEEE International Conference on Smart Grid Communications (SmartGridComm), October 2018.
Sanmukh R. Kuppannagari, Rajgopal Kannan and Viktor K. Prasanna, Optimal Discrete Net Load Balancing in Smart Grids with High PV Penetration, ACM Transactions on Sensor Networks (TOSN) 14.3-4 (2018): 24, 2018.
Sanmukh R. Kuppannagari, Rajgopal Kannan and Viktor K. Prasanna, Risk Aware Net Load Bal- ancing in Micro Grids with High DER Penetration, The Ninth Conference on Innovative Smart Grid Technology (ISGT 2018), February 2018.
Sanmukh R. Kuppannagari, Rajgopal Kannan and Viktor K. Prasanna, NO-LESS: Near OptimaL CurtailmEnt Strategy Selection for Net Load Balancing in Micro Grids, The Ninth Conference on Innovative Smart Grid Technology (ISGT 2018), February 2018.
Sanmukh R. Kuppannagari, Rajgopal Kannan and Viktor K. Prasanna, Optimal Net Load Balancing in Smart Grids with High PV Penetration, The 4th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys 2017), November 2017.
Sanmukh R. Kuppannagari, Rajgopal Kannan, Charalampos Chelmis and Viktor K. Prasanna, Imple- mentation of Learning-Based Dynamic Demand Response on a Campus Micro-grid, 25th International Joint Conference on Artificial Intelligence, IJCAI-16 Demo Track, July 2016.
Sanmukh R. Kuppannagari, Rajgopal Kannan, Charalampos Chelmis, Arash S. Tehrani, and Viktor K. Prasanna, Optimal Customer Targeting for Sustainable Demand Response in Smart Grids, Interna- tional Conference on Computational Science, 2016.
Charith Wickramaarachchi, Sanmukh R Kuppannagari, Rajgopal Kannan, and Viktor K Prasanna, Improved protection scheme for data attack on strategic buses in the smart grid, IEEE Conference on Technologies for Sustainability, 2016.
Sanmukh R. Kuppannagari, Rajgopal Kannan and Viktor K. Prasanna, An ILP based Algorithm for Optimal Customer Selection for Demand Response in SmartGrids, 2015 International Symposium on Big Data and Data Science (CSCI-ISBD), December 2015.