Rajgopal Kannan

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 162

Top Venues

CoRR

HPEC

FPGA

Publications

Sasindu Wijeratne, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
PAHD: Perception-Action based Human Decision Making using Explainable Graph Neural Networks on SAR Images. CoRR (2024)
Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna
GCV-Turbo: End-to-end Acceleration of GNN-based Computer Vision Tasks on FPGA. CoRR (2024)
Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan, Viktor K. Prasanna
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching. IPDPS (2024)
Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
Sparse MTTKRP Acceleration for Tensor Decomposition on GPU. CoRR (2024)
Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. IPDPS (2024)
Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
Sparse MTTKRP Acceleration for Tensor Decomposition on GPU. CF (2024)
Sachini Wickramasinghe, Dhruv Parikh, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
VTR: An Optimized Vision Transformer for SAR ATR Acceleration on FPGA. CoRR (2024)
Jacob Fein-Ashley, Tian Ye, Sachini Wickramasinghe, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna
A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification. CoRR (2024)
Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. CoRR (2024)
Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan, Viktor K. Prasanna
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching. CoRR (2024)
Xu Wang, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification. CoRR (2024)
Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models. CoRR (2024)
Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna
Accelerating Graph Analytics Using Attention-Based Data Prefetcher. SN Comput. Sci. 5 (5) (2024)
Dhruv Parikh, Shouyi Li, Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna
Accelerating ViT Inference on FPGA through Static and Dynamic Pruning. CoRR (2024)
Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks. CoRR (2024)
Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU. SBAC-PAD (2023)
Samuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna
Characterizing Speed Performance of Multi-Agent Reinforcement Learning. DATA (2023)
Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna
HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN. INFOCOM (2023)
Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition. HPEC (2023)
Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU. CoRR (2023)
Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna
Accelerating Sparse MTTKRP for Tensor Decomposition on FPGA. FPGA (2023)
Samuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna
Accelerating Multi-Agent DDPG on CPU-FPGA Heterogeneous Platform. HPEC (2023)
Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna
A Framework for Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform via on-chip Dynamic Tree Management. FPGA (2023)
Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
Phases, Modalities, Spatial and Temporal Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics. SC (2023)
Yue Niu, Rajgopal Kannan, Ajitesh Srivastava, Viktor K. Prasanna
Reuse Kernels or Activations? A Flexible Dataflow for Low-latency Spectral CNN Acceleration. CoRR (2023)
Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models. HPEC (2023)
Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna
Parallel Peeling of Bipartite Networks for Hierarchical Dense Subgraph Discovery. ACM Trans. Parallel Comput. 10 (2) (2023)
Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA. CoRR (2023)
Abhiram Rao Gorle, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
G-MAP: A Graph Neural Network-Based Framework for Memory Access Prediction. HPEC (2023)
Bingyi Zhang, Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Graph Neural Network for Accurate and Low-complexity SAR ATR. CoRR (2023)
Samuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna
Characterizing Speed Performance of Multi-Agent Reinforcement Learning. CoRR (2023)
Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart, Lance M. Kaplan
Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers. CoRR (2023)
Yang Yang, Weihang Long, Rajgopal Kannan, Viktor K. Prasanna
FPGA Acceleration of Rotation in Homomorphic Encryption Using Dynamic Data Layout. FPL (2023)
Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition. CoRR (2023)
Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna
Training Heterogeneous Graph Neural Networks using Bandit Sampling. CIKM (2023)
Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna
HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN. CoRR (2023)
Tian Xie, Rajgopal Kannan, C.-C. Jay Kuo
Label Efficient Regularization and Propagation for Graph Node Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Dhruv Parikh, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Performance of Graph Neural Networks for Point Cloud Applications. HPEC (2023)
Dhruv Parikh, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Performance of Graph Neural Networks for Point Cloud Applications. CoRR (2023)
Chung Ming Cheung, Sanmukh Rao Kuppannagari, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
Behind-the-Meter Solar Generation Disaggregation at Varying Aggregation Levels Using Consumer Mixture Models. IEEE Trans. Sustain. Comput. 8 (1) (2023)
Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Accelerating GNN-Based SAR Automatic Target Recognition on HBM-Enabled FPGA. HPEC (2023)
Tian Xie, Rajgopal Kannan, C.-C. Jay Kuo
GraphHop++: New Insights into GraphHop and Its Enhancement. CoRR (2022)
Hongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA. IPDPS (2022)
Pengmiao Zhang, Rajgopal Kannan, Xiangzhi Tong, Anant V. Nori, Viktor K. Prasanna
SHARP: Software Hint-Assisted Memory Access Prediction for Graph Analytics. HPEC (2022)
Ta-Yang Wang, Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna
Throughput optimization in heterogeneous MIMO networks: a GNN-based approach. GNNet@CoNEXT (2022)
Pengmiao Zhang, Rajgopal Kannan, Ajitesh Srivastava, Anant V. Nori, Viktor K. Prasanna
ReSemble: Reinforced Ensemble Framework for Data Prefetching. SC (2022)
Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna
Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform. CoRR (2022)
Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna
Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform. FPL (2022)
Tian Ye, Rajgopal Kannan, Viktor K. Prasanna
FPGA Acceleration of Fully Homomorphic Encryption over the Torus. HPEC (2022)
Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna
Towards Programmable Memory Controller for Tensor Decomposition. CoRR (2022)
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
Fine-Grained Address Segmentation for Attention-Based Variable-Degree Prefetching. CoRR (2022)
Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware. CoRR (2022)
Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna
A2P: Attention-based Memory Access Prediction for Graph Analytics. DATA (2022)
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
Fine-grained address segmentation for attention-based variable-degree prefetching. CF (2022)
Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna
Towards Programmable Memory Controller for Tensor Decomposition. DATA (2022)
Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
NTTGen: a framework for generating low latency NTT implementations on FPGA. CF (2022)
Kartik Lakhotia, Fabrizio Petrini, Rajgopal Kannan, Viktor K. Prasanna
Accelerating Allreduce With In-Network Reduction on Intel PIUMA. IEEE Micro 42 (2) (2022)
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
Decoupling the Depth and Scope of Graph Neural Networks. CoRR (2022)
Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
Bandwidth Efficient Homomorphic Encrypted Matrix Vector Multiplication Accelerator on FPGA. FPT (2022)
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
TransforMAP: Transformer for Memory Access Prediction. CoRR (2022)
Pengmiao Zhang, Ajitesh Srivastava, Ta-Yang Wang, César A. F. De Rose, Rajgopal Kannan, Viktor K. Prasanna
C-MemMAP: clustering-driven compact, adaptable, and generalizable meta-LSTM models for memory access prediction. Int. J. Data Sci. Anal. 13 (1) (2022)
Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
PPOAccel: A High-Throughput Acceleration Framework for Proximal Policy Optimization. IEEE Trans. Parallel Distributed Syst. 33 (9) (2022)
Tian Ye, Rajgopal Kannan, Viktor K. Prasanna
End-to-End Acceleration of Homomorphic Encrypted CNN Inference on FPGAs. FPGA (2022)
Hongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA. CoRR (2022)
Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
FPGA Accelerator for Homomorphic Encrypted Sparse Convolutional Neural Network Inference. FCCM (2022)
Tian Ye, Sanmukh R. Kuppannagari, César A. F. De Rose, Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
Estimating the Impact of Communication Schemes for Distributed Graph Processing. ISPDC (2022)
Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA. FPL (2022)
Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics. CoRR (2022)
Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
How to Avoid Zero-Spacing in Fractionally-Strided Convolution? A Hardware-Algorithm Co-Design Methodology. HiPC (2021)
Sasindu Wijeratne, Sanket Pattnaik, Zhiyu Chen, Rajgopal Kannan, Viktor K. Prasanna
Programmable FPGA-based Memory Controller. HOTI (2021)
Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA. HPEC (2021)
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
Accurate, efficient and scalable training of Graph Neural Networks. J. Parallel Distributed Comput. 147 (2021)
Kartik Lakhotia, Fabrizio Petrini, Rajgopal Kannan, Viktor K. Prasanna
In-network reductions on multi-dimensional HyperX. HOTI (2021)
Sasindu Wijeratne, Sanket Pattnaik, Zhiyu Chen, Rajgopal Kannan, Viktor K. Prasanna
Programmable FPGA-based Memory Controller. CoRR (2021)
Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. Proc. VLDB Endow. 14 (9) (2021)
Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. CoRR (2021)
Bingyi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
Efficient Neighbor-Sampling-based GNN Training on CPU-FPGA Heterogeneous Platform. HPEC (2021)
Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna
Parallel Peeling of Bipartite Networks for Hierarchical Dense Subgraph Discovery. CoRR (2021)
Chung Ming Cheung, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
Leveraging Spatial Information in Smart Grids using STGCN for Short-Term Load Forecasting. IC3 (2021)
Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
DYNAMAP: Dynamic Algorithm Mapping Framework for Low Latency CNN Inference. FPGA (2021)
Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor K. Prasanna
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings. CoRR (2021)
Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna
A Framework for Optimizing GCN Inference on FPGA. FPGA (2021)
Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA. CoRR (2021)
Ta-Yang Wang, William Chang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
Monte Carlo Tree Search for Task Mapping onto Heterogeneous Platforms. HiPC (2021)
Tian Ye, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
Performance Modeling and FPGA Acceleration of Homomorphic Encrypted Convolution. FPL (2021)
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
Decoupling the Depth and Scope of Graph Neural Networks. NeurIPS (2021)
Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor K. Prasanna
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings. CIKM (2021)
Naifeng Zhang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
GenMAT: A General-Purpose Machine Learning-Driven Auto-Tuner for Heterogeneous Platforms. PEHC@SC (2021)
Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna
BoostGCN: A Framework for Optimizing GCN Inference on FPGA. FCCM (2021)
Tian Ye, Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
FPGA Acceleration of Number Theoretic Transform. ISC (2021)
Yuan Meng, Sanmukh R. Kuppannagari, Rachit Rajat, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators. IPDPS Workshops (2020)
Yang Yang, Sanmukh R. Kuppannagari, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
FASTHash: FPGA-Based High Throughput Parallel Hash Table. ISC (2020)
Ajitesh Srivastava, Naifeng Zhang, Rajgopal Kannan, Viktor K. Prasanna
Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction. CoRR (2020)
Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna, César A. F. De Rose
RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs. Proc. VLDB Endow. 14 (3) (2020)
Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna, César A. F. De Rose
RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs. CoRR (2020)
Yue Niu, Rajgopal Kannan, Ajitesh Srivastava, Viktor K. Prasanna
Reuse Kernels or Activations?: A Flexible Dataflow for Low-latency Spectral CNN Acceleration. FPGA (2020)
Rachit Rajat, Yuan Meng, Sanmukh R. Kuppannagari, Ajitesh Srivastava, Viktor K. Prasanna, Rajgopal Kannan
QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators. FPGA (2020)
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Andrey Malevich, Ren Chen
Deep Graph Neural Networks with Shallow Subgraph Samplers. CoRR (2020)
Tian Ye, Rajgopal Kannan, Viktor K. Prasanna
Accelerator Design and Performance Modeling for Homomorphic Encrypted CNN Inference. HPEC (2020)
Chung Ming Cheung, Sanmukh Rao Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
Load Demand User Profiling in Smart Grids with Distributed Solar Generation. ISGT (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rajgopal Kannan