Rajgopal Kannan

283 papers A* 8A 22B 22C 10Misc 22Journal 129Unranked 68

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Persistent-State Dataflow Accelerator for Memory-Bound Linear Attention Decode on FPGA. CoRR Neelesh Gupta, Peter Wang, Rajgopal Kannan, Viktor K. Prasanna
2026	J	`jnl`	Accelerating MTTKRP for sparse tensor decomposition on GPUs. J. Parallel Distributed Comput. Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
2026	J	`jnl`	Action-Graph Policies: Learning Action Co-dependencies in Multi-Agent Reinforcement Learning. CoRR Nikunj Gupta, James Zachary Hare, Jesse Milzman, Rajgopal Kannan, Viktor K. Prasanna
2026	J	`jnl`	ConsensusDrop: Fusing Visual and Cross-Modal Saliency for Efficient Vision Language Models. CoRR Dhruv Parikh, Haoyang Fan, Rajgopal Kannan, Viktor K. Prasanna
2026	J	`jnl`	EvoClaw: Evaluating AI Agents on Continuous Software Evolution. CoRR Gangda Deng, Zhaoling Chen, Zhongming Yu, Haoyang Fan, Yuhong Liu, Yuxin Yang, Dhruv Parikh, Rajgopal Kannan, Le Cong, Mengdi Wang, Qian Zhang, Viktor K. Prasanna, Xiangru Tang, Xingyao Wang
2026	A	`conf`	HERA: A Bandwidth-efficient Accelerator for Fully Homomorphic Encryption on HBM-enabled FPGA. FPGA Zhihan Xu, Rajgopal Kannan, Viktor K. Prasanna
2026	—	`conf`	RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion. EACL (Volume 1: Long Papers) Ömer Faruk Akgül, Feiyu Zhu, Yuxin Yang, Rajgopal Kannan, Viktor K. Prasanna
2025	B	`conf`	AMPED: Accelerating MTTKRP for Billion-Scale Sparse Tensor Decomposition on Multiple GPUs. ICPP Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
2025	J	`jnl`	AMPED: Accelerating MTTKRP for Billion-Scale Sparse Tensor Decomposition on Multiple GPUs. CoRR Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
2025	B	`conf`	AP Selection in Uplink Cell-Free Massive MIMO: An Unsupervised Heterogeneous GNN Approach. WCNC Yuhong Liu, Gangda Deng, Hongkuan Zhou, Cauligi S. Raghavendra, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna
2025	J	`jnl`	Accelerating Sparse MTTKRP for Small Tensor Decomposition on GPU. CoRR Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
2025	J	`jnl`	Adversarial Knapsack for Sequential Competitive Resource Allocation. CoRR Omkar Thakoor, Rajgopal Kannan, Viktor K. Prasanna
2025	J	`jnl`	ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning. CoRR Dhruv Parikh, Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna
2025	A	`conf`	Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information. UAI Ömer Faruk Akgül, Rajgopal Kannan, Viktor K. Prasanna
2025	J	`jnl`	Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning. CoRR Nikunj Gupta, James Zachary Hare, Rajgopal Kannan, Viktor K. Prasanna
2025	B	`conf`	FAME: FPGA Acceleration of Secure Matrix Multiplication with Homomorphic Encryption. FPL Zhihan Xu, Rajgopal Kannan, Viktor K. Prasanna
2025	J	`jnl`	FAME: FPGA Acceleration of Secure Matrix Multiplication with Homomorphic Encryption. CoRR Zhihan Xu, Rajgopal Kannan, Viktor K. Prasanna
2025	A	`conf`	FAST: FPGA Acceleration of Fully Homomorphic Encryption with Efficient Bootstrapping. FPGA Zhihan Xu, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna
2025	J	`jnl`	GraFetch: Accelerating Graph Applications Through Domain Specific Hierarchical Hybrid Prefetching. IEEE Trans. Parallel Distributed Syst. Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
2025	J	`jnl`	HierRouter: Coordinated Routing of Specialized Large Language Models via Reinforcement Learning. CoRR Nikunj Gupta, Bill Guo, Rajgopal Kannan, Viktor K. Prasanna
2025	Misc	`conf`	High Throughput Matrix Transposition on HBM-Enabled FPGAs. FCCM Yang Yang, Rajgopal Kannan, Viktor K. Prasanna
2025	J	`jnl`	LYNX: Learning Dynamic Exits for Confidence-Controlled Reasoning. CoRR Ömer Faruk Akgül, Yusuf Hakan Kalayci, Rajgopal Kannan, Willie Neiswanger, Viktor K. Prasanna
2025	J	`jnl`	Mixture of Thoughts: Learning to Aggregate What Experts Think, Not Just What They Say. CoRR Jacob Fein-Ashley, Dhruv Parikh, Rajgopal Kannan, Viktor K. Prasanna
2025	J	`jnl`	Model-Architecture Codesign for High-Performance and Energy-Efficient SAR ATR on FPGA. IEEE Trans. Geosci. Remote. Sens. Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna
2025	A	`conf`	OLA: An FPGA-based Overlay Accelerator for Privacy Preserving Machine Learning with Homomorphic Encryption. FPGA Yang Yang, Rajgopal Kannan, Viktor K. Prasanna
2025	J	`jnl`	RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion. CoRR Ömer Faruk Akgül, Feiyu Zhu, Yuxin Yang, Rajgopal Kannan, Viktor K. Prasanna
2025	J	`jnl`	TIGER-MARL: Enhancing Multi-Agent Reinforcement Learning with Temporal Information through Graph-based Embeddings and Representations. CoRR Nikunj Gupta, Ludwika Twardecka, James Zachary Hare, Jesse Milzman, Rajgopal Kannan, Viktor K. Prasanna
2025	J	`jnl`	Training Diverse Graph Experts for Ensembles: A Systematic Empirical Study. CoRR Gangda Deng, Yuxin Yang, Ömer Faruk Akgül, Hanqing Zeng, Yinglong Xia, Rajgopal Kannan, Viktor K. Prasanna
2025	A	`conf`	Unified Robustness via Spurious-Invariant Features and On-Manifold Adversaries. CIKM Xu Wang, Rajgopal Kannan, Viktor K. Prasanna
2025	J	`jnl`	ViTeGNN: Towards Versatile Inference of Temporal Graph Neural Networks on FPGA. IEEE Trans. Parallel Distributed Syst. Hongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna
2024	—	`conf`	A Framework for Generating Accelerators for Homomorphic Encryption Operations on FPGAs. ASAP Yang Yang, Rajgopal Kannan, Viktor K. Prasanna
2024	B	`conf`	A Single Graph Convolution is All You Need: Efficient Grayscale Image Classification. ICIP Jacob Fein-Ashley, Sachini Wickramasinghe, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	Accelerating Graph Analytics Using Attention-Based Data Prefetcher. SN Comput. Sci. Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna
2024	—	`conf`	Accelerating Sparse MTTKRP for Small Tensor Decomposition on GPU $\mathcal{X}_{(d)}$. IEEECONF Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
2024	Misc	`conf`	Accelerating ViT Inference on FPGA through Static and Dynamic Pruning. FCCM Dhruv Parikh, Shouyi Li, Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna
2024	J	`jnl`	Accelerating ViT Inference on FPGA through Static and Dynamic Pruning. CoRR Dhruv Parikh, Shouyi Li, Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna
2024	—	`conf`	Adversarial Knapsack for Sequential Competitive Resource Allocation. GameSec (1) Omkar Thakoor, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	Adversarial Training in Low-Label Regimes with Margin-Based Interpolation. CoRR Tian Ye, Rajgopal Kannan, Viktor K. Prasanna
2024	A	`conf`	Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching. IPDPS Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching. CoRR Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan, Viktor K. Prasanna
2024	Misc	`conf`	Bandwidth Efficient Homomorphic Encrypted Discrete Fourier Transform Acceleration on FPGA. FCCM Zhihan Xu, Yang Yang, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information. CoRR Ömer Faruk Akgül, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification. CoRR Xu Wang, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna
2024	Misc	`conf`	GCV-Turbo: End-to-end Acceleration of GNN-based Computer Vision Tasks on FPGA. FCCM Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna
2024	J	`jnl`	GCV-Turbo: End-to-end Acceleration of GNN-based Computer Vision Tasks on FPGA. CoRR Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna
2024	—	`conf`	Heterogeneous Graph Neural Network based on Bandit Sampling for Attribute Completion. ICKG Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	Learning Personalized Scoping for Graph Neural Networks under Heterophily. CoRR Gangda Deng, Hongkuan Zhou, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	PAHD: Perception-Action based Human Decision Making using Explainable Graph Neural Networks on SAR Images. CoRR Sasindu Wijeratne, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
2024	J	`jnl`	PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models. CoRR Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
2024	—	`conf`	Sparse MTTKRP Acceleration for Tensor Decomposition on GPU. CF Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	Sparse MTTKRP Acceleration for Tensor Decomposition on GPU. CoRR Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	Studying the Effects of Self-Attention on SAR Automatic Target Recognition. CoRR Jacob Fein-Ashley, Rajgopal Kannan, Viktor K. Prasanna
2024	A	`conf`	TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. IPDPS Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. CoRR Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours. CoRR Yuxin Yang, Hongkuan Zhou, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours. Proc. VLDB Endow. Yuxin Yang, Hongkuan Zhou, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks. CoRR Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
2024	J	`jnl`	VTR: An Optimized Vision Transformer for SAR ATR Acceleration on FPGA. CoRR Sachini Wickramasinghe, Dhruv Parikh, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
2024	J	`jnl`	VisionAGILE: A Versatile Domain-Specific Accelerator for Computer Vision Tasks. IEEE Trans. Parallel Distributed Syst. Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna
2023	A	`conf`	A Framework for Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform via on-chip Dynamic Tree Management. FPGA Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna
2023	—	`conf`	Accelerating GNN-Based SAR Automatic Target Recognition on HBM-Enabled FPGA. HPEC Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
2023	—	`conf`	Accelerating Multi-Agent DDPG on CPU-FPGA Heterogeneous Platform. HPEC Samuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna
2023	A	`conf`	Accelerating Sparse MTTKRP for Tensor Decomposition on FPGA. FPGA Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna
2023	J	`jnl`	Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA. CoRR Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
2023	J	`jnl`	Behind-the-Meter Solar Generation Disaggregation at Varying Aggregation Levels Using Consumer Mixture Models. IEEE Trans. Sustain. Comput. Chung Ming Cheung, Sanmukh Rao Kuppannagari, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2023	—	`conf`	Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition. HPEC Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
2023	J	`jnl`	Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition. CoRR Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
2023	C	`conf`	Characterizing Speed Performance of Multi-Agent Reinforcement Learning. DATA Samuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna
2023	J	`jnl`	Characterizing Speed Performance of Multi-Agent Reinforcement Learning. CoRR Samuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna
2023	C	`conf`	Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU. SBAC-PAD Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
2023	J	`jnl`	Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU. CoRR Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
2023	B	`conf`	FPGA Acceleration of Rotation in Homomorphic Encryption Using Dynamic Data Layout. FPL Yang Yang, Weihang Long, Rajgopal Kannan, Viktor K. Prasanna
2023	—	`conf`	G-MAP: A Graph Neural Network-Based Framework for Memory Access Prediction. HPEC Abhiram Rao Gorle, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
2023	J	`jnl`	Graph Neural Network for Accurate and Low-complexity SAR ATR. CoRR Bingyi Zhang, Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
2023	A*	`conf`	HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN. INFOCOM Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna
2023	J	`jnl`	HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN. CoRR Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna
2023	J	`jnl`	Label Efficient Regularization and Propagation for Graph Node Classification. IEEE Trans. Pattern Anal. Mach. Intell. Tian Xie, Rajgopal Kannan, C.-C. Jay Kuo
2023	—	`conf`	PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models. HPEC Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
2023	J	`jnl`	Parallel Peeling of Bipartite Networks for Hierarchical Dense Subgraph Discovery. ACM Trans. Parallel Comput. Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna
2023	—	`conf`	Performance of Graph Neural Networks for Point Cloud Applications. HPEC Dhruv Parikh, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
2023	J	`jnl`	Performance of Graph Neural Networks for Point Cloud Applications. CoRR Dhruv Parikh, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
2023	A	`conf`	Phases, Modalities, Spatial and Temporal Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics. SC Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
2023	J	`jnl`	Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers. CoRR Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart, Lance M. Kaplan
2023	J	`jnl`	Reuse Kernels or Activations? A Flexible Dataflow for Low-latency Spectral CNN Acceleration. CoRR Yue Niu, Rajgopal Kannan, Ajitesh Srivastava, Viktor K. Prasanna
2023	A	`conf`	Training Heterogeneous Graph Neural Networks using Bandit Sampling. CIKM Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna
2022	C	`conf`	A2P: Attention-based Memory Access Prediction for Graph Analytics. DATA Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna
2022	J	`jnl`	Accelerating Allreduce With In-Network Reduction on Intel PIUMA. IEEE Micro Kartik Lakhotia, Fabrizio Petrini, Rajgopal Kannan, Viktor K. Prasanna
2022	B	`conf`	Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform. FPL Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna
2022	J	`jnl`	Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform. CoRR Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna
2022	Misc	`conf`	Accelerating Prefix Scan with in-network computing on Intel PIUMA. HIPC Kartik Lakhotia, Fabrizio Petrini, Rajgopal Kannan, Viktor K. Prasanna
2022	B	`conf`	Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA. FPL Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
2022	—	`conf`	Bandwidth Efficient Homomorphic Encrypted Matrix Vector Multiplication Accelerator on FPGA. FPT Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2022	J	`jnl`	C-MemMAP: clustering-driven compact, adaptable, and generalizable meta-LSTM models for memory access prediction. Int. J. Data Sci. Anal. Pengmiao Zhang, Ajitesh Srivastava, Ta-Yang Wang, César A. F. De Rose, Rajgopal Kannan, Viktor K. Prasanna
2022	J	`jnl`	Decoupling the Depth and Scope of Graph Neural Networks. CoRR Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
2022	J	`jnl`	Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware. CoRR Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2022	A	`conf`	End-to-End Acceleration of Homomorphic Encrypted CNN Inference on FPGAs. FPGA Tian Ye, Rajgopal Kannan, Viktor K. Prasanna
2022	C	`conf`	Estimating the Impact of Communication Schemes for Distributed Graph Processing. ISPDC Tian Ye, Sanmukh R. Kuppannagari, César A. F. De Rose, Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
2022	—	`conf`	FPGA Acceleration of Fully Homomorphic Encryption over the Torus. HPEC Tian Ye, Rajgopal Kannan, Viktor K. Prasanna
2022	Misc	`conf`	FPGA Accelerator for Homomorphic Encrypted Sparse Convolutional Neural Network Inference. FCCM Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2022	J	`jnl`	Fine-Grained Address Segmentation for Attention-Based Variable-Degree Prefetching. CoRR Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
2022	—	`conf`	Fine-grained address segmentation for attention-based variable-degree prefetching. CF Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
2022	J	`jnl`	GraphHop++: New Insights into GraphHop and Its Enhancement. CoRR Tian Xie, Rajgopal Kannan, C.-C. Jay Kuo
2022	A	`conf`	Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA. IPDPS Hongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
2022	J	`jnl`	Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA. CoRR Hongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
2022	—	`conf`	NTTGen: a framework for generating low latency NTT implementations on FPGA. CF Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2022	J	`jnl`	PPOAccel: A High-Throughput Acceleration Framework for Proximal Policy Optimization. IEEE Trans. Parallel Distributed Syst. Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2022	J	`jnl`	Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics. CoRR Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
2022	A	`conf`	ReSemble: Reinforced Ensemble Framework for Data Prefetching. SC Pengmiao Zhang, Rajgopal Kannan, Ajitesh Srivastava, Anant V. Nori, Viktor K. Prasanna
2022	—	`conf`	SHARP: Software Hint-Assisted Memory Access Prediction for Graph Analytics. HPEC Pengmiao Zhang, Rajgopal Kannan, Xiangzhi Tong, Anant V. Nori, Viktor K. Prasanna
2022	—	`conf`	Throughput optimization in heterogeneous MIMO networks: a GNN-based approach. GNNet@CoNEXT Ta-Yang Wang, Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna
2022	C	`conf`	Towards Programmable Memory Controller for Tensor Decomposition. DATA Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna
2022	J	`jnl`	Towards Programmable Memory Controller for Tensor Decomposition. CoRR Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna
2022	J	`jnl`	TransforMAP: Transformer for Memory Access Prediction. CoRR Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
2021	A	`conf`	A Framework for Optimizing GCN Inference on FPGA. FPGA Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna
2021	J	`jnl`	Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. CoRR Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna
2021	J	`jnl`	Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. Proc. VLDB Endow. Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna
2021	J	`jnl`	Accurate, efficient and scalable training of Graph Neural Networks. J. Parallel Distributed Comput. Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2021	Misc	`conf`	BoostGCN: A Framework for Optimizing GCN Inference on FPGA. FCCM Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna
2021	A	`conf`	DYNAMAP: Dynamic Algorithm Mapping Framework for Low Latency CNN Inference. FPGA Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2021	A*	`conf`	Decoupling the Depth and Scope of Graph Neural Networks. NeurIPS Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
2021	—	`conf`	Efficient Neighbor-Sampling-based GNN Training on CPU-FPGA Heterogeneous Platform. HPEC Bingyi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2021	C	`conf`	FPGA Acceleration of Number Theoretic Transform. ISC Tian Ye, Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2021	—	`conf`	GenMAT: A General-Purpose Machine Learning-Driven Auto-Tuner for Heterogeneous Platforms. PEHC@SC Naifeng Zhang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2021	Misc	`conf`	How to Avoid Zero-Spacing in Fractionally-Strided Convolution? A Hardware-Algorithm Co-Design Methodology. HiPC Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2021	Misc	`conf`	In-network reductions on multi-dimensional HyperX. HOTI Kartik Lakhotia, Fabrizio Petrini, Rajgopal Kannan, Viktor K. Prasanna
2021	—	`conf`	Leveraging Spatial Information in Smart Grids using STGCN for Short-Term Load Forecasting. IC3 Chung Ming Cheung, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2021	Misc	`conf`	Monte Carlo Tree Search for Task Mapping onto Heterogeneous Platforms. HiPC Ta-Yang Wang, William Chang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2021	J	`jnl`	Parallel Peeling of Bipartite Networks for Hierarchical Dense Subgraph Discovery. CoRR Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna
2021	B	`conf`	Performance Modeling and FPGA Acceleration of Homomorphic Encrypted Convolution. FPL Tian Ye, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2021	Misc	`conf`	Programmable FPGA-based Memory Controller. HOTI Sasindu Wijeratne, Sanket Pattnaik, Zhiyu Chen, Rajgopal Kannan, Viktor K. Prasanna
2021	J	`jnl`	Programmable FPGA-based Memory Controller. CoRR Sasindu Wijeratne, Sanket Pattnaik, Zhiyu Chen, Rajgopal Kannan, Viktor K. Prasanna
2021	—	`conf`	Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA. HPEC Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
2021	J	`jnl`	Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA. CoRR Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
2021	A	`conf`	SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings. CIKM Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor K. Prasanna
2021	J	`jnl`	SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings. CoRR Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor K. Prasanna
2020	J	`jnl`	Accelerating Stochastic Gradient Descent Based Matrix Factorization on FPGA. IEEE Trans. Parallel Distributed Syst. Shijie Zhou, Rajgopal Kannan, Viktor K. Prasanna
2020	—	`conf`	Accelerator Design and Performance Modeling for Homomorphic Encrypted CNN Inference. HPEC Tian Ye, Rajgopal Kannan, Viktor K. Prasanna
2020	J	`jnl`	Accurate, Efficient and Scalable Training of Graph Neural Networks. CoRR Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2020	J	`jnl`	DYNAMAP: Dynamic Algorithm Mapping Framework for Low Latency CNN Inference. CoRR Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2020	C	`conf`	FASTHash: FPGA-Based High Throughput Parallel Hash Table. ISC Yang Yang, Sanmukh R. Kuppannagari, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2020	J	`jnl`	GPOP: A Scalable Cache- and Memory-efficient Framework for Graph Processing over Parts. ACM Trans. Parallel Comput. Kartik Lakhotia, Rajgopal Kannan, Sourav Pati, Viktor K. Prasanna
2020	A*	`conf`	GraphSAINT: Graph Sampling Based Inductive Learning Method. ICLR Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2020	—	`conf`	How to Efficiently Train Your AI Agent? Characterizing and Evaluating Deep Reinforcement Learning on Heterogeneous Platforms. HPEC Yuan Meng, Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2020	—	`conf`	Load Demand User Profiling in Smart Grids with Distributed Solar Generation. ISGT Chung Ming Cheung, Sanmukh Rao Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2020	—	`conf`	MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction. PAKDD (2) Ajitesh Srivastava, Ta-Yang Wang, Pengmiao Zhang, César Augusto Fonticielha De Rose, Rajgopal Kannan, Viktor K. Prasanna
2020	A	`conf`	QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators. FPGA Rachit Rajat, Yuan Meng, Sanmukh R. Kuppannagari, Ajitesh Srivastava, Viktor K. Prasanna, Rajgopal Kannan
2020	—	`conf`	QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators. IPDPS Workshops Yuan Meng, Sanmukh R. Kuppannagari, Rachit Rajat, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2020	—	`conf`	RAOP: Recurrent Neural Network Augmented Offset Prefetcher. MEMSYS Pengmiao Zhang, Ajitesh Srivastava, Benjamin Brooks, Rajgopal Kannan, Viktor K. Prasanna
2020	J	`jnl`	RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs. CoRR Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna, César A. F. De Rose
2020	J	`jnl`	RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs. Proc. VLDB Endow. Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna, César A. F. De Rose
2020	A	`conf`	Reuse Kernels or Activations?: A Flexible Dataflow for Low-latency Spectral CNN Acceleration. FPGA Yue Niu, Rajgopal Kannan, Ajitesh Srivastava, Viktor K. Prasanna
2020	Misc	`conf`	Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction. HiPC Ajitesh Srivastava, Naifeng Zhang, Rajgopal Kannan, Viktor K. Prasanna
2020	J	`jnl`	Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction. CoRR Ajitesh Srivastava, Naifeng Zhang, Rajgopal Kannan, Viktor K. Prasanna
2019	—	`conf`	A cooperative multi-agent deep reinforcement learning framework for real-time residential load scheduling. IoTDI Chi Zhang, Sanmukh R. Kuppannagari, Chuanxiu Xiong, Rajgopal Kannan, Viktor K. Prasanna
2019	A	`conf`	Accurate, Efficient and Scalable Graph Embedding. IPDPS Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2019	—	`conf`	Approximate Scheduling of DERs with Discrete Complex Injections. e-Energy Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2019	—	`conf`	Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation. BuildSys Chi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2019	J	`jnl`	Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation. CoRR Chi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2019	—	`conf`	Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware. HPEC Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2019	B	`conf`	GPOP: a cache and memory-efficient framework for graph processing over partitions. PPoPP Kartik Lakhotia, Rajgopal Kannan, Sourav Pati, Viktor K. Prasanna
2019	J	`jnl`	GraphSAINT: Graph Sampling Based Inductive Learning Method. CoRR Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2019	J	`jnl`	HitGraph: High-throughput Graph Processing Framework on FPGA. IEEE Trans. Parallel Distributed Syst. Shijie Zhou, Rajgopal Kannan, Viktor K. Prasanna, Guna Seetharaman, Qing Wu
2019	—	`conf`	IP Cores for Graph Kernels on FPGAs. HPEC Sanmukh R. Kuppannagari, Rachit Rajat, Rajgopal Kannan, Aravind Dasu, Viktor K. Prasanna
2019	J	`jnl`	Network-based intervention strategies to reduce violence among homeless. Soc. Netw. Anal. Min. Ajitesh Srivastava, Robin Petering, Nicholas Barr, Rajgopal Kannan, Eric Rice, Viktor K. Prasanna
2019	—	`conf`	On Predicting Crime with Heterogeneous Spatial Patterns: Methods and Evaluation. SIGSPATIAL/GIS Chuanxiu Xiong, Ajitesh Srivastava, Rajgopal Kannan, Omkar Damle, Viktor K. Prasanna, Erroll Southers
2019	—	`conf`	Parallel edge-based sampling for static and dynamic graphs. CF Kartik Lakhotia, Rajgopal Kannan, Aditya Gaur, Ajitesh Srivastava, Viktor K. Prasanna
2019	J	`jnl`	Planting Trees for scalable and efficient Canonical Hub Labeling. CoRR Kartik Lakhotia, Qing Dong, Rajgopal Kannan, Viktor K. Prasanna
2019	J	`jnl`	Planting Trees for scalable and efficient Canonical Hub Labeling. Proc. VLDB Endow. Kartik Lakhotia, Rajgopal Kannan, Qing Dong, Viktor K. Prasanna
2019	—	`conf`	Predicting memory accesses: the road to compact ML-driven prefetcher. MEMSYS Ajitesh Srivastava, Angelos Lazaris, Benjamin Brooks, Rajgopal Kannan, Viktor K. Prasanna
2019	—	`conf`	RecANt: Network-based Recruitment for Active Fake News Correction. IEEE BigData Ajitesh Srivastava, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna
2019	Misc	`conf`	SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. HiPC Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna
2019	J	`jnl`	SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. CoRR Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna
2019	—	`conf`	Towards Improved Real-Time Observability of Behind-Meter PhotoVoltaic Systems: A Data-Driven Approach. e-Energy Chung Ming Cheung, Sanmukh Rao Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2018	—	`conf`	Accelerating PageRank using Partition-Centric Processing. USENIX ATC Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna
2018	J	`jnl`	Accurate, Efficient and Scalable Graph Embedding. CoRR Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2018	—	`conf`	An FPGA framework for edge-centric graph processing. CF Shijie Zhou, Rajgopal Kannan, Hanqing Zeng, Viktor K. Prasanna
2018	—	`conf`	Behind-the-Meter Solar Generation Disaggregation using Consumer Mixture Models. SmartGridComm Chung Ming Cheung, Wen Zhong, Chuanxiu Xiong, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2018	A	`conf`	FASTCF: FPGA-based Accelerator for STochastic-Gradient-Descent-based Collaborative Filtering. FPGA Shijie Zhou, Rajgopal Kannan, Yu Min, Viktor K. Prasanna
2018	A	`conf`	FActCheck: Keeping Activation of Fake News at Check. AAMAS Ajitesh Srivastava, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna
2018	J	`jnl`	GPOP: A cache- and work-efficient framework for Graph Processing Over Partitions. CoRR Kartik Lakhotia, Sourav Pati, Rajgopal Kannan, Viktor K. Prasanna
2018	—	`conf`	Generative Adversarial Network for Synthetic Time Series Data Generation in Smart Grids. SmartGridComm Chi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2018	B	`conf`	How to Stop Violence Among Homeless: Extension of Voter Model and Intervention Strategies. ASONAM Ajitesh Srivastava, Robin Petering, Rajgopal Kannan, Eric Rice, Viktor K. Prasanna
2018	—	`conf`	NO-LESS: Near optimal curtailment strategy selection for net load balancing in micro grids. ISGT Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2018	J	`jnl`	Optimal Discrete Net-Load Balancing in Smart Grids with High PV Penetration. ACM Trans. Sens. Networks Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2018	A*	`conf`	Polynomial Time Equilibria in Bottleneck Congestion Games. EC Costas Busch, Rajgopal Kannan
2018	—	`conf`	Risk aware net load balancing in micro grids with high DER penetration. ISGT Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2018	—	`conf`	Temporal ensemble learning of univariate methods for short term load forecasting. ISGT Chung Ming Cheung, Rajgopal Kannan, Viktor K. Prasanna
2017	J	`jnl`	Accelerating PageRank using Partition-Centric Processing. CoRR Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna
2017	—	`conf`	Accelerating low rank matrix completion on FPGA. ReConFig Shijie Zhou, Rajgopal Kannan, Viktor K. Prasanna
2017	J	`jnl`	CASPaR: Congestion avoidance shortest path routing for delay tolerant networks. Int. J. Distributed Sens. Networks Michael F. Stewart, Rajgopal Kannan, Amit Dvir, Bhaskar Krishnamachari
2017	—	`conf`	Design and implementation of parallel PageRank on multicore platforms. HPEC Shijie Zhou, Kartik Lakhotia, Shreyas G. Singapura, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna, James Fox, Euna Kim, Oded Green, David A. Bader
2017	J	`jnl`	Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets. Neural Process. Lett. Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Shreekant Gayaka, Rajgopal Kannan, Ramakrishna R. Nemani
2017	—	`conf`	OSCAR: Optimizing SCrAtchpad reuse for graph processing. HPEC Shreyas G. Singapura, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2017	J	`jnl`	Optimal Net-Load Balancing in Smart Grids with High PV Penetration. CoRR Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2017	—	`conf`	Optimal data layout for block-level random accesses to scratchpad. HPEC Shreyas G. Singapura, Rajgopal Kannan, Viktor K. Prasanna
2017	—	`conf`	Optimal net-load balancing in smart grids with high PV penetration. BuildSys Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
2017	—	`conf`	PReSS towards a secure smart grid: Protection recommendations against smart spoofing. ISGT Charith Wickramaarachchi, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna
2017	—	`conf`	Quickly finding a truss in a haystack. HPEC Oded Green, James Fox, Euna Kim, Federico Busato, Nicola Bombieri, Kartik Lakhotia, Shijie Zhou, Shreyas G. Singapura, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna, David A. Bader
2017	Misc	`conf`	ReCALL: Reordered Cache Aware Locality Based Graph Processing. HiPC Kartik Lakhotia, Shreyas G. Singapura, Rajgopal Kannan, Viktor K. Prasanna
2017	—	`conf`	Spatio-Temporal Modeling of Criminal Activity. SocialSens@CPSWeek Michail Misyrlis, Chung Ming Cheung, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2016	Misc	`conf`	CASPaR: Congestion avoidance shortest path routing for delay tolerant networks. ICNC Michael F. Stewart, Rajgopal Kannan, Amit Dvir, Bhaskar Krishnamachari
2016	—	`conf`	Distributed exact subgraph matching in small diameter dynamic graphs. IEEE BigData Charith Wickramaarachchi, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna
2016	A*	`conf`	Implementation of Learning-Based Dynamic Demand Response on a Campus Micro-Grid. IJCAI Sanmukh R. Kuppannagari, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna
2016	—	`conf`	On-chip memory efficient data layout for 2D FFT on 3D memory integrated FPGA. HPEC Shreyas G. Singapura, Rajgopal Kannan, Viktor K. Prasanna
2016	Misc	`conf`	Optimal Customer Targeting for Sustainable Demand Response in Smart Grids. ICCS Sanmukh R. Kuppannagari, Rajgopal Kannan, Charalampos Chelmis, Arash Saber Tehrani, Viktor K. Prasanna
2016	—	`conf`	Software defined connected prosumer communities. WF-IoT Charalampos Chelmis, Rajgopal Kannan, Viktor K. Prasanna
2013	J	`jnl`	The Price of Anarchy is Unbounded for Congestion Games with Superpolynomial Latency Costs. CoRR Rajgopal Kannan, Costas Busch, Paul G. Spirakis
2012	J	`jnl`	Approximating Congestion + Dilation in Networks via "Quality of Routing" Games. IEEE Trans. Computers Costas Busch, Rajgopal Kannan, Athanasios V. Vasilakos
2012	J	`jnl`	CSI Usage over Parallel Fading Channels under Jamming Attacks: A Game Theory Study. IEEE Trans. Commun. Shuangqing Wei, Rajgopal Kannan, Vasu Chakravarthy, Murali Rangaswamy
2012	—	`ed.`	Game Theory for Networks - 2nd International ICST Conference, GAMENETS 2011, Shanghai, China, April 16-18, 2011, Revised Selected Papers GAMENETS Rahul Jain, Rajgopal Kannan
2012	Misc	`conf`	Stretch in Bottleneck Games. COCOON Costas Busch, Rajgopal Kannan
2011	—	`conf`	Bottleneck Routing Games on Grids. GAMENETS Costas Busch, Rajgopal Kannan, Alfred Samman
2011	—	`conf`	Optimal Price of Anarchy of Polynomial and Super-Polynomial Bottleneck Congestion Games. GAMENETS Rajgopal Kannan, Costas Busch, Athanasios V. Vasilakos
2011	B	`conf`	Sensing and Transmission in Probabilistically Interference-Limited Cognitive Radio Systems. GLOBECOM Shuangqing Wei, Vasu Chakravarthy, Zhiqiang Wu, Rajgopal Kannan
2010	C	`conf`	A Sparse Bayesian Framework for Anomaly Detection in Heterogeneous Networks. QSHINE Jian Zhang, Rajgopal Kannan
2010	J	`jnl`	A novel self-tuning feedback controller for active queue management supporting TCP flows. Inf. Sci. Naixue Xiong, Athanasios V. Vasilakos, Laurence Tianruo Yang, Cheng-Xiang Wang, Rajgopal Kannan, Chin-Chen Chang, Yi Pan
2010	J	`jnl`	Approximation algorithms for minimum energy transmission scheduling in rate and duty-cycle constrained wireless networks. IEEE/ACM Trans. Netw. Rajgopal Kannan, Shuangqing Wei, Vasu Chakravarthy, Muralidhar Rangaswamy
2010	B	`conf`	Bottleneck Congestion Games with Logarithmic Price of Anarchy. SAGT Rajgopal Kannan, Costas Busch
2010	J	`jnl`	Bottleneck Routing Games with Low Price of Anarchy CoRR Rajgopal Kannan, Costas Busch
2010	J	`jnl`	Polynomial Bottleneck Congestion Games with Optimal Price of Anarchy CoRR Rajgopal Kannan, Costas Busch, Athanasios V. Vasilakos
2010	J	`jnl`	Special Issue on Game Theory. IEEE Trans. Syst. Man Cybern. Part B Athanasios V. Vasilakos, Rajgopal Kannan, Ekram Hossain, H. Kintis
2010	J	`jnl`	TCP Throughput Adaptation in WiMax Networks Using Replicator Dynamics. IEEE Trans. Syst. Man Cybern. Part B Markos P. Anastasopoulos, Dionysia K. Petraki, Rajgopal Kannan, Athanasios V. Vasilakos
2009	J	`jnl`	Anonymous communication protocol for sensor networks. Int. J. Wirel. Mob. Comput. Arjan Durresi, Vamsi Paruchuri, Leonard Barolli, Rajgopal Kannan
2009	J	`jnl`	Comparative analysis of quality of service and memory usage for adaptive failure detectors in healthcare systems. IEEE J. Sel. Areas Commun. Naixue Xiong, Athanasios V. Vasilakos, Laurence Tianruo Yang, Lingyang Song, Yi Pan, Rajgopal Kannan, Yingshu Li
2009	J	`jnl`	Novel overlay/underlay cognitive radio waveforms using SD-SMSE framework to enhance spectrum efficiency- part i: theoretical framework and analysis in AWGN channel. IEEE Trans. Commun. Vasu Chakravarthy, Xue Li, Zhiqiang Wu, Michael A. Temple, F. Garber, Rajgopal Kannan, Athanasios V. Vasilakos
2009	—	`conf`	Online Algorithms for Maximizing Quality of Link Transmissions over a Jammed Wireless Channel. PerCom Workshops Rajgopal Kannan, Shuangqing Wei, Costas Busch, Athanasios V. Vasilakos
2009	J	`jnl`	The Impact of Exponential Utility Costs in Bottleneck Routing Games CoRR Rajgopal Kannan, Costas Busch
2008	J	`jnl`	Adaptive Routing Strategies in IEEE 802.16 Multi-Hop Wireless Backhaul Networks Based On Evolutionary Game Theory. IEEE J. Sel. Areas Commun. Markos P. Anastasopoulos, Pantelis-Daniel M. Arapoglou, Rajgopal Kannan, Panayotis G. Cottis
2008	J	`jnl`	Bicretieria Optimization in Routing Games CoRR Costas Busch, Rajgopal Kannan
2008	B	`conf`	Energy Efficient Estimation of Gaussian Sources over Inhomogeneous Gaussian MAC Channels. GLOBECOM Shuangqing Wei, Rajgopal Kannan, S. Sitharama Iyengar, Nageswara S. V. Rao
2008	J	`jnl`	Jamming in Fixed-Rate Wireless Systems with Power Constraints - Part II: Parallel Slow Fading Channels CoRR George T. Amariucai, Shuangqing Wei, Rajgopal Kannan
2008	—	`conf`	Quality of routing congestion games in wireless sensor networks. WICON Costas Busch, Rajgopal Kannan, Athanasios V. Vasilakos
2007	B	`conf`	A Fully Polynomial Approximation Algorithm for Collaborative Relaying in Sensor Networks Under Finite Rate Constraints. DCOSS Rajgopal Kannan, Shuangqing Wei, Vasu Chakravarthy, Murali Rangaswamy
2007	Misc	`conf`	Algorithms for Relaying via Channel Quantization in Finite Rate Feedback Limited Sensor Networks. CISS Rajgopal Kannan, Shuangqing Wei, Guohui Deng, Vasu Chakravarthy, Murali Rangaswamy
2007	J	`jnl`	Energy Efficient Estimation of Gaussian Sources Over Inhomogeneous Gaussian MAC Channels CoRR Shuangqing Wei, Rajgopal Kannan, S. Sitharama Iyengar, Nageswara S. V. Rao
2007	—	`conf`	Energy Efficient Relaying and Coalition-Forming in Relay Networks. ICASSP (3) Rajgopal Kannan, Shuangqing Wei
2007	B	`conf`	Gaussian Jamming in Block-Fading Channels under Long Term Power Constraints. ISIT George T. Amariucai, Shuangqing Wei, Rajgopal Kannan
2007	Misc	`conf`	Minimax and Maxmin Solutions to Gaussian Jamming in Block-Fading Channels under Long Term Power Constraints. CISS George T. Amariucai, Shuangqing Wei, Rajgopal Kannan
2006	B	`conf`	Approximation Algorithms for Power-Aware Scheduling of Wireless Sensor Networks with Rate and Duty-Cycle Constraints. DCOSS Rajgopal Kannan, Shuangqing Wei
2006	Misc	`ed.`	Distributed Computing and Internet Technology, Third International Conference, ICDCIT 2006, Bhubaneswar, India, December 20-23, 2006, Proceedings ICDCIT Sanjay Kumar Madria, Kajal T. Claypool, Rajgopal Kannan, Prem Uppuluri, Manoj Madhava Gore
2006	Misc	`conf`	Scheduling with Rate and Duty-Cycle Constraints for Wireless Networks over an Interference Channel. CISS Rajgopal Kannan, Shuangqing Wei
2006	B	`conf`	Strategic Versus Collaborative Power Control in Relay Fading Channels. ISIT Shuangqing Wei, Rajgopal Kannan
2006	J	`jnl`	Sub-grid based key vector assignment: A key pre-distribution scheme for distributed sensor networks. Int. J. Pervasive Comput. Commun. R. Kalidini, Rajgopal Kannan, S. Sitharama Iyengar, Arjan Durresi
2006	J	`jnl`	Sub-grid based key vector assignment: A key pre-distribution scheme for distributed sensor networks. Int. J. Pervasive Comput. Commun. R. Kalindi, Rajgopal Kannan, S. Sitharama Iyengar, Arjan Durresi
2006	J	`jnl`	The Weighted Integrity Problem is Polynomial for Interval Graphs. Ars Comb. Sibabrata Ray, Rajgopal Kannan, Danyang Zhang, Hong Jiang
2006	J	`jnl`	Using Misbehavior to Analyze Strategic versus Aggregate Energy Minimization in Wireless Sensor Networks. Int. J. Distributed Sens. Networks Rajgopal Kannan, Shuangqing Wei, Vasu Chakravarthy, Guna Seetharaman
2005	J	`jnl`	Analysis of Relationship between Strategic and Aggregate Energy Minimization in Delay-Constrained Wireless Networks CoRR Rajgopal Kannan, Shuangqing Wei
2005	J	`jnl`	Data Integrity Protocol for Sensor Networks. Int. J. Distributed Sens. Networks Arjan Durresi, Vamsi Paruchuri, Rajgopal Kannan, S. Sitharama Iyengar
2005	—	`conf`	Energy and deployment aware sensing for wireless sensor networks. WiMob (3) Ramaraju Kalidindi, Rajgopal Kannan
2005	J	`jnl`	Optimized Broadcast Protocol for Sensor Networks. IEEE Trans. Computers Arjan Durresi, Vamsi Paruchuri, S. Sitharama Iyengar, Rajgopal Kannan
2005	J	`jnl`	Subgroup-based Source Recovery or Local Recovery for Reliable Multicasting. Int. J. Comput. Their Appl. Danyang Zhang, Sibabrata Ray, Rajgopal Kannan, S. Sitharama Iyengar
2005	J	`jnl`	The KR-Benes Network: A Control-Optimal Rearrangeable Permutation Network. IEEE Trans. Computers Rajgopal Kannan
2004	—	`conf`	Authenticated Autonomous System Traceback. AINA (1) Vamsi Paruchuri, Arjan Durresi, Rajgopal Kannan, S. Sitharama Iyengar
2004	J	`jnl`	Efficient And Secure Autonomous System Based Traceback. J. Interconnect. Networks Arjan Durresi, Vamsi Paruchuri, Leonard Barolli, Rajgopal Kannan, S. Sitharama Iyengar
2004	J	`jnl`	Energy equivalence routing in wireless sensor networks. Microprocess. Microsystems Wei Ding, S. Sitharama Iyengar, Rajgopal Kannan, William Rummler
2004	J	`jnl`	Game-theoretic models for reliable path-length and energy-constrained routing with data aggregation in wireless sensor networks. IEEE J. Sel. Areas Commun. Rajgopal Kannan, S. Sitharama Iyengar
2004	B	`conf`	Max-Min Length-Energy-Constrained Routing in Wireless Sensor Networks. EWSN Rajgopal Kannan, Lydia Ray, Ramaraju Kalidindi, S. Sitharama Iyengar
2004	Misc	`conf`	NEC: Node Energy Based Clustering Protocol for Wireless Sensor Networks with Guaranteed Connectivity. ICDCIT Shilpa Dhar, Krishnendu Roy, Rajgopal Kannan
2004	C	`conf`	Random Asynchronous Wakeup Protocol for Sensor Networks. BROADNETS Vamsi Paruchuri, Shivakumar Basavaraju, Arjan Durresi, Rajgopal Kannan, S. Sitharama Iyengar
2004	—	`ch.`	Reliable Energy-Constrained Routing in Sensor Networks. Handbook of Sensor Networks Rajgopal Kannan, Lydia Ray, S. Sitharama Iyengar, Ramaraju Kalidindi
2004	—	`conf`	Secure Cluster Based Energy Aware Routing for Wireless Sensor Networks. International Conference on Wireless Networks Cariappa Mallanda, Shivakumar Basavaraju, Archit Kulshrestha, Rajgopal Kannan, Arjan Durresi, S. Sitharama Iyengar
2004	J	`jnl`	Security-Performance Tradeoffs of Inheritance based Key Predistribution for Wireless Sensor Networks CoRR Rajgopal Kannan, Lydia Ray, Arjan Durresi
2004	J	`jnl`	Sensor-centric energy-constrained reliable query routing for wireless sensor networks. J. Parallel Distributed Comput. Rajgopal Kannan, Sudipta Sarangi, S. Sitharama Iyengar
2004	—	`conf`	Sub-Grid Based Key Vector Assignment: A Key Pre-Distribution Scheme for Distributed Sensor Networks. International Conference on Wireless Networks Ramaraju Kalidindi, Vamsi Paruchuri, Shivakumar Basavaraju, Cariappa Mallanda, Archit Kulshrestha, Lydia Ray, Rajgopal Kannan, Arjan Durresi, S. Sitharama Iyengar
2003	B	`conf`	A Recovery Algorithm for Reliable Multicasting in Reliable Networks. ICPP Danyang Zhang, Sibabrata Ray, Rajgopal Kannan, S. Sitharama Iyengar
2003	J	`jnl`	An optical switching architecture for hierarchical group communication. J. Syst. Archit. Rajgopal Kannan, Sibabrata Ray, Radim Bartos
2003	—	`conf`	Distributed Energy Aware MAC Layer Protocol for Wireless Sensor Networks. International Conference on Wireless Networks Ramaraju Kalidindi, Rajgopal Kannan, S. Sitharama Iyengar, Lydia Ray
2003	J	`jnl`	Energy and rate based MAC protocol for wireless sensor networks. SIGMOD Rec. Rajgopal Kannan, Ramaraju Kalidindi, S. Sitharama Iyengar, Vijay Kumar
2003	J	`jnl`	Minimal sensor integrity: Measuring the vulnerability of sensor grids. Inf. Process. Lett. Rajgopal Kannan, Sudipta Sarangi, Sibabrata Ray, S. Sitharama Iyengar
2003	A*	`conf`	Sensor-Centric Quality of Routing in Sensor Networks. INFOCOM Rajgopal Kannan, Sudipta Sarangi, S. Sitharama Iyengar, Lydia Ray
2003	J	`jnl`	The KR-Benes Network: A (almost) Control-Optimal Rearrangeable Permutation Network CoRR Rajgopal Kannan
2002	J	`jnl`	Faster Web Page Allocation with Neural Networks. IEEE Internet Comput. Vir V. Phoha, S. Sitharama Iyengar, Rajgopal Kannan
2002	B	`conf`	Minimal Sensor Integrity in Sensor Grids. ICPP Rajgopal Kannan, Sudipta Sarangi, Sibabrata Ray, S. Sitharama Iyengar
2002	B	`conf`	Static subgroup-based source recovery for reliable multicast in reliable networks. GLOBECOM Danyang Zhang, Sibabrata Ray, Rajgopal Kannan
2001	—	`conf`	Sorting Networks with Applications to Hierarchical Optical Interconnects. ICPP Workshops Rajgopal Kannan, Sibabrata Ray
2000	C	`conf`	A Fair and Efficient Multicast ATM Switch based on Deflection Routing. ISCC Rajgopal Kannan, Sibabrata Ray
2000	B	`conf`	A fair and efficient multicast ATM switch based on deflection routing. ICCCN Rajgopal Kannan, Sibabrata Ray
2000	J	`jnl`	MSXmin: a modular multicast ATM packet switch with low delay and hardware complexity. IEEE/ACM Trans. Netw. Rajgopal Kannan, Sibabrata Ray
1998	—	`conf`	Space-time-wavelength network with group communication locality. Multichannel Optical Networks: Theory and Practice Radim Bartos, Pilar de la Torre, Rajgopal Kannan
1997	A*	`conf`	A Pipelined Single-Bit Controlled Sorting Network with INFOCOM Rajgopal Kannan
1997	J	`jnl`	Optical TDM sorting networks for high-speed switching. IEEE Trans. Commun. Rajgopal Kannan, Daeshik Lee, Kyungsook Y. Lee, Harry F. Jordan
1997	A*	`conf`	STWnet: A High Bandwidth Space-Time-Wavelength Multiplexed Optical Switching Network. INFOCOM Rajgopal Kannan, Radim Bartos, Kyungsook Y. Lee, Harry F. Jordan
1997	J	`jnl`	SXmin: a self-routing high-performance ATM packet switch based on group-knockout principle. IEEE Trans. Commun. Rajgopal Kannan, Radim Bartos, Kyungsook Y. Lee, Harry F. Jordan