sanmukh kuppannagari

About sanmukh kuppannagari

sanmukh kuppannagari, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of Combinatorial Optimization, Smart Grid, Reinforcement Learning Acceleration, Parallel Computing, Reconfigurable Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

PARAG: PIM Architecture for Real-Time Acceleration of GCNs

Automated Indexing Of TEM Diffraction Patterns Using Machine Learning

Input feature pruning for accelerating gnn inference on heterogeneous platforms

Bandwidth efficient homomorphic encrypted matrix vector multiplication accelerator on fpga

End to End Framework for CNN Acceleration on FPGAs with Dynamic Algorithm Mapping

Behind-the-Meter Solar Generation Disaggregation at Varying Aggregation Levels Using Consumer Mixture Models

Estimating the Impact of Communication Schemes for Distributed Graph Processing

NTTGen

sanmukh kuppannagari Information

University

Position

___

Citations(all)

632

Citations(since 2020)

587

Cited By

140

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

19

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

sanmukh kuppannagari Skills & Research Interests

Combinatorial Optimization

Smart Grid

Reinforcement Learning Acceleration

Parallel Computing

Reconfigurable Computing

Top articles of sanmukh kuppannagari

PARAG: PIM Architecture for Real-Time Acceleration of GCNs

2023/12/1

Automated Indexing Of TEM Diffraction Patterns Using Machine Learning

2023/9/25

Sanmukh Kuppannagari
Sanmukh Kuppannagari

H-Index: 8

Input feature pruning for accelerating gnn inference on heterogeneous platforms

2022/12/18

Bandwidth efficient homomorphic encrypted matrix vector multiplication accelerator on fpga

2022/12/5

End to End Framework for CNN Acceleration on FPGAs with Dynamic Algorithm Mapping

2022/8/4

Behind-the-Meter Solar Generation Disaggregation at Varying Aggregation Levels Using Consumer Mixture Models

IEEE Transactions on Sustainable Computing

2022/7/25

Estimating the Impact of Communication Schemes for Distributed Graph Processing

2022/7/11

NTTGen

Proceedings of the 19th ACM International Conference on Computing Frontiers

2022/5/17

NTTGen: a framework for generating low latency NTT implementations on FPGA

2022/5/17

FPGA accelerator for homomorphic encrypted sparse convolutional neural network inference

2022/5/15

Safe building hvac control via batch reinforcement learning

IEEE Transactions on Sustainable Computing

2022/4/1

Socio-demographic Characteristics Prediction Using Soft Clustering of Load Consumption Data

2022

How to avoid zero-spacing in fractionally-strided convolution? a hardware-algorithm co-design methodology

2021/12/17

Parallel actors and learners: A framework for generating scalable rl implementations

2021/12/17

Ppoaccel: A high-throughput acceleration framework for proximal policy optimization

IEEE Transactions on Parallel and Distributed Systems

2021/12/13

Brac+: Improved behavior regularized actor critic for offline reinforcement learning

2021/11/28

Chi Zhang
Chi Zhang

H-Index: 2

Sanmukh Kuppannagari
Sanmukh Kuppannagari

H-Index: 8

Efficient neighbor-sampling-based gnn training on cpu-fpga heterogeneous platform

2021/9/20

Performance modeling and FPGA acceleration of homomorphic encrypted convolution

2021/8/30

FGYM: Toolkit for Benchmarking FPGA based Reinforcement Learning Algorithms

2021/8/30

Yuan Meng
Yuan Meng

H-Index: 11

Sanmukh Kuppannagari
Sanmukh Kuppannagari

H-Index: 8

Leveraging Spatial Information in Smart Grids using STGCN for Short-Term Load Forecasting

2021/8/5

See List of Professors in sanmukh kuppannagari University(University of Southern California)

Co-Authors

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