Sanmukh R. Kuppannagari

Orcid: 0000-0002-2062-1483

According to our database1, Sanmukh R. Kuppannagari authored at least 46 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2023
Behind-the-Meter Solar Generation Disaggregation at Varying Aggregation Levels Using Consumer Mixture Models.
IEEE Trans. Sustain. Comput., 2023

PARAG: PIM Architecture for Real-Time Acceleration of GCNs.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

2022
Safe Building HVAC Control via Batch Reinforcement Learning.
IEEE Trans. Sustain. Comput., 2022

PPOAccel: A High-Throughput Acceleration Framework for Proximal Policy Optimization.
IEEE Trans. Parallel Distributed Syst., 2022

Estimating the Impact of Communication Schemes for Distributed Graph Processing.
Proceedings of the 21st International Symposium on Parallel and Distributed Computing, 2022

End to End Framework for CNN Acceleration on FPGAs with Dynamic Algorithm Mapping.
Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

Input Feature Pruning for Accelerating GNN Inference on Heterogeneous Platforms.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

Bandwidth Efficient Homomorphic Encrypted Matrix Vector Multiplication Accelerator on FPGA.
Proceedings of the International Conference on Field-Programmable Technology, 2022

FPGA Accelerator for Homomorphic Encrypted Sparse Convolutional Neural Network Inference.
Proceedings of the 30th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2022

NTTGen: a framework for generating low latency NTT implementations on FPGA.
Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

2021
FPGA Acceleration of Number Theoretic Transform.
Proceedings of the High Performance Computing - 36th International Conference, 2021

Leveraging Spatial Information in Smart Grids using STGCN for Short-Term Load Forecasting.
Proceedings of the IC3 2021: Thirteenth International Conference on Contemporary Computing, Noida, India, August 5, 2021

Efficient Neighbor-Sampling-based GNN Training on CPU-FPGA Heterogeneous Platform.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

How to Avoid Zero-Spacing in Fractionally-Strided Convolution? A Hardware-Algorithm Co-Design Methodology.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

Performance Modeling and FPGA Acceleration of Homomorphic Encrypted Convolution.
Proceedings of the 31st International Conference on Field-Programmable Logic and Applications, 2021

FGYM: Toolkit for Benchmarking FPGA based Reinforcement Learning Algorithms.
Proceedings of the 31st International Conference on Field-Programmable Logic and Applications, 2021

DYNAMAP: Dynamic Algorithm Mapping Framework for Low Latency CNN Inference.
Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

Spatio-Temporal Missing Data Imputation for Smart Power Grids.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding Errors.
CoRR, 2020

FASTHash: FPGA-Based High Throughput Parallel Hash Table.
Proceedings of the High Performance Computing - 35th International Conference, 2020

Load Demand User Profiling in Smart Grids with Distributed Solar Generation.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

A High Throughput Parallel Hash Table Accelerator on HBM-enabled FPGAs.
Proceedings of the International Conference on Field-Programmable Technology, 2020

A High Throughput Parallel Hash Table on FPGA using XOR-based Memory.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

How to Efficiently Train Your AI Agent? Characterizing and Evaluating Deep Reinforcement Learning on Heterogeneous Platforms.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators.
Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

Accelerating Proximal Policy Optimization on CPU-FPGA Heterogeneous Platforms.
Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020

Crowdsourced Edge: A Novel Networking Paradigm for the Collaborative Community.
Proceedings of the 16th International Conference on Distributed Computing in Sensor Systems, 2020

2019
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

Parallel Totally Induced Edge Sampling on FPGAs.
Proceedings of the Parallel Computing: Technology Trends, 2019

A cooperative multi-agent deep reinforcement learning framework for real-time residential load scheduling.
Proceedings of the International Conference on Internet of Things Design and Implementation, 2019

IP Cores for Graph Kernels on FPGAs.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Future Energy Systems Introduction.
Proceedings of the 26th International Conference on High Performance Computing, 2019

Approximate Scheduling of DERs with Discrete Complex Injections.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

Towards Improved Real-Time Observability of Behind-Meter PhotoVoltaic Systems: A Data-Driven Approach.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

2018
Optimal Discrete Net-Load Balancing in Smart Grids with High PV Penetration.
ACM Trans. Sens. Networks, 2018

Generative Adversarial Network for Synthetic Time Series Data Generation in Smart Grids.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

NO-LESS: Near optimal curtailment strategy selection for net load balancing in micro grids.
Proceedings of the 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2018

Risk aware net load balancing in micro grids with high DER penetration.
Proceedings of the 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2018

2017
Optimal net-load balancing in smart grids with high PV penetration.
Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017

2016
Implementation of Learning-Based Dynamic Demand Response on a Campus Micro-Grid.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Optimal Customer Targeting for Sustainable Demand Response in Smart Grids.
Proceedings of the International Conference on Computational Science 2016, 2016

2015
Efficient Generation of Energy and Performance Pareto Front for FPGA Designs (Abstract Only).
Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2015

2014
Energy performance of FPGAs on PERFECT suite kernels.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2014

High level performance model based design space exploration for energy-efficient designs on FPGAs.
Proceedings of the International Green Computing Conference, 2014


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