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ORCIDRajgopal Kannan
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2020 – today
- 2024
[j48]Pengmiao Zhang
, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna:
Accelerating Graph Analytics Using Attention-Based Data Prefetcher. SN Comput. Sci. 5(5): 646 (2024)- [j47]Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna:
VisionAGILE: A Versatile Domain-Specific Accelerator for Computer Vision Tasks. IEEE Trans. Parallel Distributed Syst. 35(12): 2405-2422 (2024) - [c137]Yang Yang, Rajgopal Kannan, Viktor K. Prasanna:
A Framework for Generating Accelerators for Homomorphic Encryption Operations on FPGAs. ASAP 2024: 61-70 - [c136]Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna:
Sparse MTTKRP Acceleration for Tensor Decomposition on GPU. CF 2024 - [c135]Zhihan Xu, Yang Yang, Rajgopal Kannan, Viktor K. Prasanna:
Bandwidth Efficient Homomorphic Encrypted Discrete Fourier Transform Acceleration on FPGA. FCCM 2024: 1-12 - [c134]Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna:
GCV-Turbo: End-to-end Acceleration of GNN-based Computer Vision Tasks on FPGA. FCCM 2024: 66-77 - [c133]Dhruv Parikh, Shouyi Li, Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna:
Accelerating ViT Inference on FPGA through Static and Dynamic Pruning. FCCM 2024: 78-89 - [c132]Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan, Viktor K. Prasanna:
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching. IPDPS 2024: 876-888 - [c131]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: 926-937 - [i57]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 abs/2401.02687 (2024) - [i56]Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan, Viktor K. Prasanna:
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching. CoRR abs/2401.06362 (2024) - [i55]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 abs/2402.05396 (2024) - [i54]Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna:
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models. CoRR abs/2402.13441 (2024) - [i53]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 abs/2403.14047 (2024) - [i52]Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks. CoRR abs/2403.18318 (2024) - [i51]Xu Wang, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna:
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification. CoRR abs/2404.03225 (2024) - [i50]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 abs/2404.04527 (2024) - [i49]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 abs/2404.07188 (2024) - [i48]Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna:
Sparse MTTKRP Acceleration for Tensor Decomposition on GPU. CoRR abs/2405.08470 (2024) - [i47]Jacob Fein-Ashley, Rajgopal Kannan, Viktor K. Prasanna:
Studying the Effects of Self-Attention on SAR Automatic Target Recognition. CoRR abs/2409.00473 (2024) - [i46]Gangda Deng, Hongkuan Zhou, Rajgopal Kannan, Viktor K. Prasanna:
Learning Personalized Scoping for Graph Neural Networks under Heterophily. CoRR abs/2409.06998 (2024) - 2023
- [j46]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): 14856-14871 (2023) - [j45]Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna:
Parallel Peeling of Bipartite Networks for Hierarchical Dense Subgraph Discovery. ACM Trans. Parallel Comput. 10(2): 5:1-5:35 (2023) - [j44]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): 43-55 (2023) - [c130]Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna:
Training Heterogeneous Graph Neural Networks using Bandit Sampling. CIKM 2023: 4345-4349 - [c129]Samuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna:
Characterizing Speed Performance of Multi-Agent Reinforcement Learning. DATA 2023: 327-334 - [c128]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: 235-245 - [c127]Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Sparse MTTKRP for Tensor Decomposition on FPGA. FPGA 2023: 259-269 - [c126]Yang Yang, Weihang Long, Rajgopal Kannan, Viktor K. Prasanna:
FPGA Acceleration of Rotation in Homomorphic Encryption Using Dynamic Data Layout. FPL 2023: 174-181 - [c125]Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition. HPEC 2023: 1-6 - [c124]Abhiram Rao Gorle, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna:
G-MAP: A Graph Neural Network-Based Framework for Memory Access Prediction. HPEC 2023: 1-7 - [c123]Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna:
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models. HPEC 2023: 1-7 - [c122]Dhruv Parikh, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Performance of Graph Neural Networks for Point Cloud Applications. HPEC 2023: 1-7 - [c121]Samuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Multi-Agent DDPG on CPU-FPGA Heterogeneous Platform. HPEC 2023: 1-7 - [c120]Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Accelerating GNN-Based SAR Automatic Target Recognition on HBM-Enabled FPGA. HPEC 2023: 1-7 - [c119]Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna:
HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN. INFOCOM 2023: 1-10 - [c118]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: 23-33 - [c117]Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna:
Phases, Modalities, Spatial and Temporal Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics. SC 2023: 91:1-91:15 - [i45]Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA. CoRR abs/2301.01454 (2023) - [i44]Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna:
HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN. CoRR abs/2304.10013 (2023) - [i43]Bingyi Zhang, Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Graph Neural Network for Accurate and Low-complexity SAR ATR. CoRR abs/2305.07119 (2023) - [i42]Samuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna:
Characterizing Speed Performance of Multi-Agent Reinforcement Learning. CoRR abs/2309.07108 (2023) - [i41]Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna:
Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU. CoRR abs/2309.09131 (2023) - [i40]Dhruv Parikh, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Performance of Graph Neural Networks for Point Cloud Applications. CoRR abs/2309.09142 (2023) - [i39]Yue Niu, Rajgopal Kannan, Ajitesh Srivastava, Viktor K. Prasanna:
Reuse Kernels or Activations? A Flexible Dataflow for Low-latency Spectral CNN Acceleration. CoRR abs/2310.10902 (2023) - [i38]Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart, Lance M. Kaplan:
Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers. CoRR abs/2312.02912 (2023) - [i37]Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition. CoRR abs/2312.06940 (2023) - 2022
- [j43]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): 3-16 (2022) - [j42]Kartik Lakhotia, Fabrizio Petrini, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Allreduce With In-Network Reduction on Intel PIUMA. IEEE Micro 42(2): 44-52 (2022) - [j41]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): 2066-2078 (2022) - [c116]Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
NTTGen: a framework for generating low latency NTT implementations on FPGA. CF 2022: 30-39 - [c115]Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna:
Fine-grained address segmentation for attention-based variable-degree prefetching. CF 2022: 103-112 - [c114]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: 42-47 - [c113]Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna:
A2P: Attention-based Memory Access Prediction for Graph Analytics. DATA 2022: 135-145 - [c112]Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna:
Towards Programmable Memory Controller for Tensor Decomposition. DATA 2022: 468-475 - [c111]Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
FPGA Accelerator for Homomorphic Encrypted Sparse Convolutional Neural Network Inference. FCCM 2022: 1-9 - [c110]Tian Ye, Rajgopal Kannan, Viktor K. Prasanna:
End-to-End Acceleration of Homomorphic Encrypted CNN Inference on FPGAs. FPGA 2022: 51 - [c109]Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA. FPL 2022: 1-8 - [c108]Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform. FPL 2022: 176-182 - [c107]Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Bandwidth Efficient Homomorphic Encrypted Matrix Vector Multiplication Accelerator on FPGA. FPT 2022: 1-9 - [c106]Kartik Lakhotia, Fabrizio Petrini, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Prefix Scan with in-network computing on Intel PIUMA. HIPC 2022: 59-68 - [c105]Tian Ye, Rajgopal Kannan, Viktor K. Prasanna:
FPGA Acceleration of Fully Homomorphic Encryption over the Torus. HPEC 2022: 1-7 - [c104]Pengmiao Zhang, Rajgopal Kannan, Xiangzhi Tong, Anant V. Nori, Viktor K. Prasanna:
SHARP: Software Hint-Assisted Memory Access Prediction for Graph Analytics. HPEC 2022: 1-8 - [c103]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: 1108-1117 - [c102]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: 49-56 - [c101]Pengmiao Zhang, Rajgopal Kannan, Ajitesh Srivastava, Anant V. Nori, Viktor K. Prasanna:
ReSemble: Reinforced Ensemble Framework for Data Prefetching. SC 2022: 81:1-81:14 - [i36]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 abs/2201.07858 (2022) - [i35]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 abs/2203.05095 (2022) - [i34]Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware. CoRR abs/2203.15534 (2022) - [i33]Tian Xie, Rajgopal Kannan, C.-C. Jay Kuo:
GraphHop++: New Insights into GraphHop and Its Enhancement. CoRR abs/2204.08646 (2022) - [i32]Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna:
Fine-Grained Address Segmentation for Attention-Based Variable-Degree Prefetching. CoRR abs/2205.02269 (2022) - [i31]Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna:
TransforMAP: Transformer for Memory Access Prediction. CoRR abs/2205.14778 (2022) - [i30]Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna:
Towards Programmable Memory Controller for Tensor Decomposition. CoRR abs/2207.08298 (2022) - [i29]Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform. CoRR abs/2208.11208 (2022) - [i28]Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna:
Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics. CoRR abs/2212.05250 (2022) - 2021
- [j40]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: 166-183 (2021) - [j39]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): 1597-1605 (2021) - [c100]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: 3667-3671 - [c99]Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna:
BoostGCN: A Framework for Optimizing GCN Inference on FPGA. FCCM 2021: 29-39 - [c98]Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna:
A Framework for Optimizing GCN Inference on FPGA. FPGA 2021: 145 - [c97]Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
DYNAMAP: Dynamic Algorithm Mapping Framework for Low Latency CNN Inference. FPGA 2021: 183-193 - [c96]Tian Ye, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Performance Modeling and FPGA Acceleration of Homomorphic Encrypted Convolution. FPL 2021: 115-121 - [c95]Ta-Yang Wang, William Chang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Monte Carlo Tree Search for Task Mapping onto Heterogeneous Platforms. HiPC 2021: 63-70 - [c94]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: 81-90 - [c93]Kartik Lakhotia, Fabrizio Petrini, Rajgopal Kannan, Viktor K. Prasanna:
In-network reductions on multi-dimensional HyperX. HOTI 2021: 1-8 - [c92]Sasindu Wijeratne, Sanket Pattnaik, Zhiyu Chen, Rajgopal Kannan, Viktor K. Prasanna:
Programmable FPGA-based Memory Controller. HOTI 2021: 43-51 - [c91]Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna:
Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA. HPEC 2021: 1-7 - [c90]Bingyi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Efficient Neighbor-Sampling-based GNN Training on CPU-FPGA Heterogeneous Platform. HPEC 2021: 1-7 - [c89]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: 159-167 - [c88]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: 19665-19679 - [c87]Naifeng Zhang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
GenMAT: A General-Purpose Machine Learning-Driven Auto-Tuner for Heterogeneous Platforms. PEHC@SC 2021: 1-9 - [c86]Tian Ye, Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
FPGA Acceleration of Number Theoretic Transform. ISC 2021: 98-117 - [i27]Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. CoRR abs/2105.04528 (2021) - [i26]Sasindu Wijeratne, Sanket Pattnaik, Zhiyu Chen, Rajgopal Kannan, Viktor K. Prasanna:
Programmable FPGA-based Memory Controller. CoRR abs/2108.09601 (2021) - [i25]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 abs/2109.04550 (2021) - [i24]Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna:
Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA. CoRR abs/2109.08874 (2021) - [i23]Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna:
Parallel Peeling of Bipartite Networks for Hierarchical Dense Subgraph Discovery. CoRR abs/2110.12511 (2021) - 2020
- [j38]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): 404-417 (2020) - [j37]Kartik Lakhotia, Rajgopal Kannan, Sourav Pati, Viktor K. Prasanna:
GPOP: A Scalable Cache- and Memory-efficient Framework for Graph Processing over Parts. ACM Trans. Parallel Comput. 7(1): 7:1-7:24 (2020) - [j36]Shijie Zhou, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Stochastic Gradient Descent Based Matrix Factorization on FPGA. IEEE Trans. Parallel Distributed Syst. 31(8): 1897-1911 (2020) - [c85]Yue Niu, Rajgopal Kannan, Ajitesh Srivastava, Viktor K. Prasanna:
Reuse Kernels or Activations?: A Flexible Dataflow for Low-latency Spectral CNN Acceleration. FPGA 2020: 266-276 - [c84]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: 323 - [c83]Ajitesh Srivastava, Naifeng Zhang, Rajgopal Kannan, Viktor K. Prasanna:
Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction. HiPC 2020: 21-30 - [c82]Yuan Meng, Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
How to Efficiently Train Your AI Agent? Characterizing and Evaluating Deep Reinforcement Learning on Heterogeneous Platforms. HPEC 2020: 1-7 - [c81]Tian Ye, Rajgopal Kannan, Viktor K. Prasanna:
Accelerator Design and Performance Modeling for Homomorphic Encrypted CNN Inference. HPEC 2020: 1-7 - [c80]Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
GraphSAINT: Graph Sampling Based Inductive Learning Method. ICLR 2020 - [c79]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: 107-114 - [c78]Chung Ming Cheung, Sanmukh Rao Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Load Demand User Profiling in Smart Grids with Distributed Solar Generation. ISGT 2020: 1-5 - [c77]Pengmiao Zhang, Ajitesh Srivastava, Benjamin Brooks, Rajgopal Kannan, Viktor K. Prasanna:
RAOP: Recurrent Neural Network Augmented Offset Prefetcher. MEMSYS 2020: 352-362 - [c76]Ajitesh Srivastava, Ta-Yang Wang, Pengmiao Zhang, César Augusto Fonticielha De Rose, Rajgopal Kannan, Viktor K. Prasanna:
MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction. PAKDD (2) 2020: 57-68 - [c75]Yang Yang, Sanmukh R. Kuppannagari, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
FASTHash: FPGA-Based High Throughput Parallel Hash Table. ISC 2020: 3-22 - [i22]Ajitesh Srivastava, Naifeng Zhang, Rajgopal Kannan, Viktor K. Prasanna:
Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction. CoRR abs/2003.07497 (2020) - [i21]Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Accurate, Efficient and Scalable Training of Graph Neural Networks. CoRR abs/2010.03166 (2020) - [i20]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 abs/2010.08695 (2020) - [i19]Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
DYNAMAP: Dynamic Algorithm Mapping Framework for Low Latency CNN Inference. CoRR abs/2012.00912 (2020)
2010 – 2019
- 2019
- [j35]Kartik Lakhotia, Rajgopal Kannan, Qing Dong, Viktor K. Prasanna:
Planting Trees for scalable and efficient Canonical Hub Labeling. Proc. VLDB Endow. 13(4): 492-505 (2019) - [j34]Ajitesh Srivastava, Robin Petering, Nicholas Barr, Rajgopal Kannan, Eric Rice, Viktor K. Prasanna:
Network-based intervention strategies to reduce violence among homeless. Soc. Netw. Anal. Min. 9(1): 38:1-38:12 (2019) - [j33]Shijie Zhou, Rajgopal Kannan, Viktor K. Prasanna, Guna Seetharaman, Qing Wu:
HitGraph: High-throughput Graph Processing Framework on FPGA. IEEE Trans. Parallel Distributed Syst. 30(10): 2249-2264 (2019) - [c74]Ajitesh Srivastava, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna:
RecANt: Network-based Recruitment for Active Fake News Correction. IEEE BigData 2019: 940-949 - [c73]Kartik Lakhotia, Rajgopal Kannan, Aditya Gaur, Ajitesh Srivastava, Viktor K. Prasanna:
Parallel edge-based sampling for static and dynamic graphs. CF 2019: 125-134 - [c72]Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Approximate Scheduling of DERs with Discrete Complex Injections. e-Energy 2019: 204-214 - [c71]Chung Ming Cheung, Sanmukh Rao Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Towards Improved Real-Time Observability of Behind-Meter PhotoVoltaic Systems: A Data-Driven Approach. e-Energy 2019: 447-455 - [c70]Chuanxiu Xiong, Ajitesh Srivastava, Rajgopal Kannan, Omkar Damle, Viktor K. Prasanna, Erroll Southers:
On Predicting Crime with Heterogeneous Spatial Patterns: Methods and Evaluation. SIGSPATIAL/GIS 2019: 43-51 - [c69]Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna:
SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. HiPC 2019: 195-204 - [c68]Sanmukh R. Kuppannagari, Rachit Rajat, Rajgopal Kannan, Aravind Dasu, Viktor K. Prasanna:
IP Cores for Graph Kernels on FPGAs. HPEC 2019: 1-7 - [c67]Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware. HPEC 2019: 1-7 - [c66]Chi Zhang, Sanmukh R. Kuppannagari, Chuanxiu Xiong, Rajgopal Kannan, Viktor K. Prasanna:
A cooperative multi-agent deep reinforcement learning framework for real-time residential load scheduling. IoTDI 2019: 59-69 - [c65]Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Accurate, Efficient and Scalable Graph Embedding. IPDPS 2019: 462-471 - [c64]Ajitesh Srivastava, Angelos Lazaris, Benjamin Brooks, Rajgopal Kannan, Viktor K. Prasanna:
Predicting memory accesses: the road to compact ML-driven prefetcher. MEMSYS 2019: 461-470 - [c63]Kartik Lakhotia, Rajgopal Kannan, Sourav Pati, Viktor K. Prasanna:
GPOP: a cache and memory-efficient framework for graph processing over partitions. PPoPP 2019: 393-394 - [c62]Chi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation. BuildSys@SenSys 2019: 287-296 - [i18]Kartik Lakhotia, Qing Dong, Rajgopal Kannan, Viktor K. Prasanna:
Planting Trees for scalable and efficient Canonical Hub Labeling. CoRR abs/1907.00140 (2019) - [i17]Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
GraphSAINT: Graph Sampling Based Inductive Learning Method. CoRR abs/1907.04931 (2019) - [i16]Chi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation. CoRR abs/1910.05313 (2019) - [i15]Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna:
SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. CoRR abs/1910.11103 (2019) - 2018
- [j32]Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Optimal Discrete Net-Load Balancing in Smart Grids with High PV Penetration. ACM Trans. Sens. Networks 14(3-4): 24:1-24:30 (2018) - [c61]Ajitesh Srivastava, Robin Petering, Rajgopal Kannan, Eric Rice, Viktor K. Prasanna:
How to Stop Violence Among Homeless: Extension of Voter Model and Intervention Strategies. ASONAM 2018: 83-86 - [c60]Ajitesh Srivastava, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna:
FActCheck: Keeping Activation of Fake News at Check. AAMAS 2018: 2079-2081 - [c59]Shijie Zhou, Rajgopal Kannan, Hanqing Zeng, Viktor K. Prasanna:
An FPGA framework for edge-centric graph processing. CF 2018: 69-77 - [c58]Shijie Zhou, Rajgopal Kannan, Yu Min, Viktor K. Prasanna:
FASTCF: FPGA-based Accelerator for STochastic-Gradient-Descent-based Collaborative Filtering. FPGA 2018: 259-268 - [c57]Chung Ming Cheung, Rajgopal Kannan, Viktor K. Prasanna:
Temporal ensemble learning of univariate methods for short term load forecasting. ISGT 2018: 1-5 - [c56]Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Risk aware net load balancing in micro grids with high DER penetration. ISGT 2018: 1-5 - [c55]Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
NO-LESS: Near optimal curtailment strategy selection for net load balancing in micro grids. ISGT 2018: 1-5 - [c54]Costas Busch, Rajgopal Kannan:
Polynomial Time Equilibria in Bottleneck Congestion Games. EC 2018: 393-409 - [c53]Chung Ming Cheung, Wen Zhong, Chuanxiu Xiong, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Behind-the-Meter Solar Generation Disaggregation using Consumer Mixture Models. SmartGridComm 2018: 1-6 - [c52]Chi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Generative Adversarial Network for Synthetic Time Series Data Generation in Smart Grids. SmartGridComm 2018: 1-6 - [c51]Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating PageRank using Partition-Centric Processing. USENIX ATC 2018: 427-440 - [i14]Kartik Lakhotia, Sourav Pati, Rajgopal Kannan, Viktor K. Prasanna:
GPOP: A cache- and work-efficient framework for Graph Processing Over Partitions. CoRR abs/1806.08092 (2018) - [i13]Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Accurate, Efficient and Scalable Graph Embedding. CoRR abs/1810.11899 (2018) - 2017
- [j31]Michael F. Stewart, Rajgopal Kannan, Amit Dvir, Bhaskar Krishnamachari:
CASPaR: Congestion avoidance shortest path routing for delay tolerant networks. Int. J. Distributed Sens. Networks 13(11) (2017) - [j30]Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Shreekant Gayaka, Rajgopal Kannan, Ramakrishna R. Nemani:
Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets. Neural Process. Lett. 45(3): 855-867 (2017) - [c50]Michail Misyrlis, Chung Ming Cheung, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Spatio-Temporal Modeling of Criminal Activity. SocialSens@CPSWeek 2017: 3-8 - [c49]Kartik Lakhotia, Shreyas G. Singapura, Rajgopal Kannan, Viktor K. Prasanna:
ReCALL: Reordered Cache Aware Locality Based Graph Processing. HiPC 2017: 273-282 - [c48]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:
Quickly finding a truss in a haystack. HPEC 2017: 1-7 - [c47]Shreyas G. Singapura, Rajgopal Kannan, Viktor K. Prasanna:
Optimal data layout for block-level random accesses to scratchpad. HPEC 2017: 1-7 - [c46]Shreyas G. Singapura, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
OSCAR: Optimizing SCrAtchpad reuse for graph processing. HPEC 2017: 1-7 - [c45]Shijie Zhou, Kartik Lakhotia, Shreyas G. Singapura, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna, James Fox, Euna Kim, Oded Green, David A. Bader:
Design and implementation of parallel PageRank on multicore platforms. HPEC 2017: 1-6 - [c44]Charith Wickramaarachchi, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna:
PReSS towards a secure smart grid: Protection recommendations against smart spoofing. ISGT 2017: 1-5 - [c43]Shijie Zhou, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating low rank matrix completion on FPGA. ReConFig 2017: 1-7 - [c42]Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Optimal net-load balancing in smart grids with high PV penetration. BuildSys@SenSys 2017: 27:1-27:10 - [i12]Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Optimal Net-Load Balancing in Smart Grids with High PV Penetration. CoRR abs/1709.00644 (2017) - [i11]Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating PageRank using Partition-Centric Processing. CoRR abs/1709.07122 (2017) - 2016
- [c41]Charith Wickramaarachchi, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna:
Distributed exact subgraph matching in small diameter dynamic graphs. IEEE BigData 2016: 3360-3369 - [c40]Shreyas G. Singapura, Rajgopal Kannan, Viktor K. Prasanna:
On-chip memory efficient data layout for 2D FFT on 3D memory integrated FPGA. HPEC 2016: 1-7 - [c39]Sanmukh R. Kuppannagari, Rajgopal Kannan, Charalampos Chelmis, Arash Saber Tehrani, Viktor K. Prasanna:
Optimal Customer Targeting for Sustainable Demand Response in Smart Grids. ICCS 2016: 324-334 - [c38]Michael F. Stewart, Rajgopal Kannan, Amit Dvir, Bhaskar Krishnamachari:
CASPaR: Congestion avoidance shortest path routing for delay tolerant networks. ICNC 2016: 1-5 - [c37]Sanmukh R. Kuppannagari, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna:
Implementation of Learning-Based Dynamic Demand Response on a Campus Micro-Grid. IJCAI 2016: 4250-4251 - [c36]Charalampos Chelmis, Rajgopal Kannan, Viktor K. Prasanna:
Software defined connected prosumer communities. WF-IoT 2016: 684-685 - 2013
- [i10]Rajgopal Kannan, Costas Busch, Paul G. Spirakis:
The Price of Anarchy is Unbounded for Congestion Games with Superpolynomial Latency Costs. CoRR abs/1308.4101 (2013) - 2012
- [j29]Costas Busch, Rajgopal Kannan, Athanasios V. Vasilakos:
Approximating Congestion + Dilation in Networks via "Quality of Routing" Games. IEEE Trans. Computers 61(9): 1270-1283 (2012) - [j28]Shuangqing Wei, Rajgopal Kannan, Vasu Chakravarthy, Murali Rangaswamy:
CSI Usage over Parallel Fading Channels under Jamming Attacks: A Game Theory Study. IEEE Trans. Commun. 60(4): 1167-1175 (2012) - [c35]Costas Busch, Rajgopal Kannan:
Stretch in Bottleneck Games. COCOON 2012: 592-603 - [e2]Rahul Jain, Rajgopal Kannan:
Game Theory for Networks - 2nd International ICST Conference, GAMENETS 2011, Shanghai, China, April 16-18, 2011, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 75, Springer 2012, ISBN 978-3-642-30372-2 [contents] - 2011
- [c34]Costas Busch, Rajgopal Kannan, Alfred Samman:
Bottleneck Routing Games on Grids. GAMENETS 2011: 294-307 - [c33]Rajgopal Kannan, Costas Busch, Athanasios V. Vasilakos:
Optimal Price of Anarchy of Polynomial and Super-Polynomial Bottleneck Congestion Games. GAMENETS 2011: 308-320 - [c32]Shuangqing Wei, Vasu Chakravarthy, Zhiqiang Wu, Rajgopal Kannan:
Sensing and Transmission in Probabilistically Interference-Limited Cognitive Radio Systems. GLOBECOM 2011: 1-5 - 2010
- [j27]Naixue Xiong, Athanasios V. Vasilakos, Laurence Tianruo Yang, Cheng-Xiang Wang, Rajgopal Kannan, Chin-Chen Chang, Yi Pan:
A novel self-tuning feedback controller for active queue management supporting TCP flows. Inf. Sci. 180(11): 2249-2263 (2010) - [j26]Rajgopal Kannan, Shuangqing Wei, Vasu Chakravarthy, Muralidhar Rangaswamy:
Approximation algorithms for minimum energy transmission scheduling in rate and duty-cycle constrained wireless networks. IEEE/ACM Trans. Netw. 18(1): 296-306 (2010) - [j25]Athanasios V. Vasilakos, Rajgopal Kannan, Ekram Hossain, H. Kintis:
Special Issue on Game Theory. IEEE Trans. Syst. Man Cybern. Part B 40(3): 554-558 (2010) - [j24]Markos P. Anastasopoulos, Dionysia K. Petraki, Rajgopal Kannan, Athanasios V. Vasilakos:
TCP Throughput Adaptation in WiMax Networks Using Replicator Dynamics. IEEE Trans. Syst. Man Cybern. Part B 40(3): 647-655 (2010) - [c31]Jian Zhang, Rajgopal Kannan:
A Sparse Bayesian Framework for Anomaly Detection in Heterogeneous Networks. QSHINE 2010: 75-87 - [c30]Rajgopal Kannan, Costas Busch:
Bottleneck Congestion Games with Logarithmic Price of Anarchy. SAGT 2010: 222-233 - [i9]Rajgopal Kannan, Costas Busch:
Bottleneck Routing Games with Low Price of Anarchy. CoRR abs/1003.4307 (2010) - [i8]Rajgopal Kannan, Costas Busch, Athanasios V. Vasilakos:
Polynomial Bottleneck Congestion Games with Optimal Price of Anarchy. CoRR abs/1010.4812 (2010)
2000 – 2009
- 2009
- [j23]Arjan Durresi, Vamsi Paruchuri, Leonard Barolli, Rajgopal Kannan:
Anonymous communication protocol for sensor networks. Int. J. Wirel. Mob. Comput. 3(4): 236-246 (2009) - [j22]Naixue Xiong, Athanasios V. Vasilakos, Laurence Tianruo Yang, Lingyang Song, Yi Pan, Rajgopal Kannan, Yingshu Li:
Comparative analysis of quality of service and memory usage for adaptive failure detectors in healthcare systems. IEEE J. Sel. Areas Commun. 27(4): 495-509 (2009) - [j21]Vasu Chakravarthy, Xue Li, Zhiqiang Wu, Michael A. Temple, F. Garber, Rajgopal Kannan, Athanasios V. Vasilakos:
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. 57(12): 3794-3804 (2009) - [c29]Rajgopal Kannan, Shuangqing Wei, Costas Busch, Athanasios V. Vasilakos:
Online Algorithms for Maximizing Quality of Link Transmissions over a Jammed Wireless Channel. PerCom Workshops 2009: 1-6 - [i7]Rajgopal Kannan, Costas Busch:
The Impact of Exponential Utility Costs in Bottleneck Routing Games. CoRR abs/0911.4150 (2009) - 2008
- [j20]Markos P. Anastasopoulos, Pantelis-Daniel M. Arapoglou, Rajgopal Kannan, Panayotis G. Cottis:
Adaptive Routing Strategies in IEEE 802.16 Multi-Hop Wireless Backhaul Networks Based On Evolutionary Game Theory. IEEE J. Sel. Areas Commun. 26(7): 1218-1225 (2008) - [c28]Shuangqing Wei, Rajgopal Kannan, S. Sitharama Iyengar, Nageswara S. V. Rao:
Energy Efficient Estimation of Gaussian Sources over Inhomogeneous Gaussian MAC Channels. GLOBECOM 2008: 4647-4651 - [c27]Costas Busch, Rajgopal Kannan, Athanasios V. Vasilakos:
Quality of routing congestion games in wireless sensor networks. WICON 2008: 71 - [i6]Costas Busch, Rajgopal Kannan:
Bicretieria Optimization in Routing Games. CoRR abs/0801.4851 (2008) - [i5]George T. Amariucai, Shuangqing Wei, Rajgopal Kannan:
Jamming in Fixed-Rate Wireless Systems with Power Constraints - Part II: Parallel Slow Fading Channels. CoRR abs/0808.3418 (2008) - 2007
- [c26]Rajgopal Kannan, Shuangqing Wei, Guohui Deng, Vasu Chakravarthy, Murali Rangaswamy:
Algorithms for Relaying via Channel Quantization in Finite Rate Feedback Limited Sensor Networks. CISS 2007: 1-6 - [c25]George T. Amariucai, Shuangqing Wei, Rajgopal Kannan:
Minimax and Maxmin Solutions to Gaussian Jamming in Block-Fading Channels under Long Term Power Constraints. CISS 2007: 312-317 - [c24]Rajgopal Kannan, Shuangqing Wei, Vasu Chakravarthy, Murali Rangaswamy:
A Fully Polynomial Approximation Algorithm for Collaborative Relaying in Sensor Networks Under Finite Rate Constraints. DCOSS 2007: 338-353 - [c23]Rajgopal Kannan, Shuangqing Wei:
Energy Efficient Relaying and Coalition-Forming in Relay Networks. ICASSP (3) 2007: 157-160 - [c22]George T. Amariucai, Shuangqing Wei, Rajgopal Kannan:
Gaussian Jamming in Block-Fading Channels under Long Term Power Constraints. ISIT 2007: 1001-1005 - [i4]Shuangqing Wei, Rajgopal Kannan, S. Sitharama Iyengar, Nageswara S. V. Rao:
Energy Efficient Estimation of Gaussian Sources Over Inhomogeneous Gaussian MAC Channels. CoRR abs/0709.4035 (2007) - 2006
- [j19]Sibabrata Ray, Rajgopal Kannan, Danyang Zhang, Hong Jiang:
The Weighted Integrity Problem is Polynomial for Interval Graphs. Ars Comb. 79 (2006) - [j18]Rajgopal Kannan, Shuangqing Wei, Vasu Chakravarthy, Guna Seetharaman:
Using Misbehavior to Analyze Strategic versus Aggregate Energy Minimization in Wireless Sensor Networks. Int. J. Distributed Sens. Networks 2(3): 225-249 (2006) - [j17]R. Kalindi, Rajgopal Kannan, S. Sitharama Iyengar, Arjan Durresi:
Sub-grid based key vector assignment: A key pre-distribution scheme for distributed sensor networks. Int. J. Pervasive Comput. Commun. 2(1): 35-45 (2006) - [j16]R. Kalidini, Rajgopal Kannan, S. Sitharama Iyengar, Arjan Durresi:
Sub-grid based key vector assignment: A key pre-distribution scheme for distributed sensor networks. Int. J. Pervasive Comput. Commun. 2(2): 163-171 (2006) - [c21]Rajgopal Kannan, Shuangqing Wei:
Scheduling with Rate and Duty-Cycle Constraints for Wireless Networks over an Interference Channel. CISS 2006: 1378-1384 - [c20]Rajgopal Kannan, Shuangqing Wei:
Approximation Algorithms for Power-Aware Scheduling of Wireless Sensor Networks with Rate and Duty-Cycle Constraints. DCOSS 2006: 463-479 - [c19]Shuangqing Wei, Rajgopal Kannan:
Strategic Versus Collaborative Power Control in Relay Fading Channels. ISIT 2006: 2461-2465 - [e1]Sanjay Kumar Madria, Kajal T. Claypool, Rajgopal Kannan, Prem Uppuluri, Manoj Madhava Gore:
Distributed Computing and Internet Technology, Third International Conference, ICDCIT 2006, Bhubaneswar, India, December 20-23, 2006, Proceedings. Lecture Notes in Computer Science 4317, Springer 2006, ISBN 3-540-68379-8 [contents] - 2005
- [j15]Arjan Durresi, Vamsi Paruchuri, Rajgopal Kannan, S. Sitharama Iyengar:
Data Integrity Protocol for Sensor Networks. Int. J. Distributed Sens. Networks 1(2): 205-214 (2005) - [j14]Danyang Zhang, Sibabrata Ray, Rajgopal Kannan, S. Sitharama Iyengar:
Subgroup-based Source Recovery or Local Recovery for Reliable Multicasting. Int. J. Comput. Their Appl. 12(2): 101-112 (2005) - [j13]Rajgopal Kannan:
The KR-Benes Network: A Control-Optimal Rearrangeable Permutation Network. IEEE Trans. Computers 54(5): 534-544 (2005) - [j12]Arjan Durresi, Vamsi Paruchuri, S. Sitharama Iyengar, Rajgopal Kannan:
Optimized Broadcast Protocol for Sensor Networks. IEEE Trans. Computers 54(8): 1013-1024 (2005) - [c18]Ramaraju Kalidindi, Rajgopal Kannan:
Energy and deployment aware sensing for wireless sensor networks. WiMob (3) 2005: 446-453 - [i3]Rajgopal Kannan, Shuangqing Wei:
Analysis of Relationship between Strategic and Aggregate Energy Minimization in Delay-Constrained Wireless Networks. CoRR abs/cs/0506021 (2005) - 2004
- [j11]Arjan Durresi, Vamsi Paruchuri, Leonard Barolli, Rajgopal Kannan, S. Sitharama Iyengar:
Efficient And Secure Autonomous System Based Traceback. J. Interconnect. Networks 5(2): 151-164 (2004) - [j10]Rajgopal Kannan, Sudipta Sarangi, S. Sitharama Iyengar:
Sensor-centric energy-constrained reliable query routing for wireless sensor networks. J. Parallel Distributed Comput. 64(7): 839-852 (2004) - [j9]Rajgopal Kannan, S. Sitharama Iyengar:
Game-theoretic models for reliable path-length and energy-constrained routing with data aggregation in wireless sensor networks. IEEE J. Sel. Areas Commun. 22(6): 1141-1150 (2004) - [j8]Wei Ding, S. Sitharama Iyengar, Rajgopal Kannan, William Rummler:
Energy equivalence routing in wireless sensor networks. Microprocess. Microsystems 28(8): 467-475 (2004) - [c17]Vamsi Paruchuri, Arjan Durresi, Rajgopal Kannan, S. Sitharama Iyengar:
Authenticated Autonomous System Traceback. AINA (1) 2004: 406-413 - [c16]Vamsi Paruchuri, Shivakumar Basavaraju, Arjan Durresi, Rajgopal Kannan, S. Sitharama Iyengar:
Random Asynchronous Wakeup Protocol for Sensor Networks. BROADNETS 2004: 710-717 - [c15]Rajgopal Kannan, Lydia Ray, Ramaraju Kalidindi, S. Sitharama Iyengar:
Max-Min Length-Energy-Constrained Routing in Wireless Sensor Networks. EWSN 2004: 234-249 - [c14]Shilpa Dhar, Krishnendu Roy, Rajgopal Kannan:
NEC: Node Energy Based Clustering Protocol for Wireless Sensor Networks with Guaranteed Connectivity. ICDCIT 2004: 75-84 - [c13]Ramaraju Kalidindi, Vamsi Paruchuri, Shivakumar Basavaraju, Cariappa Mallanda, Archit Kulshrestha, Lydia Ray, Rajgopal Kannan, Arjan Durresi, S. Sitharama Iyengar:
Sub-Grid Based Key Vector Assignment: A Key Pre-Distribution Scheme for Distributed Sensor Networks. International Conference on Wireless Networks 2004: 440-446 - [c12]Cariappa Mallanda, Shivakumar Basavaraju, Archit Kulshrestha, Rajgopal Kannan, Arjan Durresi, S. Sitharama Iyengar:
Secure Cluster Based Energy Aware Routing for Wireless Sensor Networks. International Conference on Wireless Networks 2004: 461-466 - [p1]Rajgopal Kannan, Lydia Ray, S. Sitharama Iyengar, Ramaraju Kalidindi:
Reliable Energy-Constrained Routing in Sensor Networks. Handbook of Sensor Networks 2004 - [i2]Rajgopal Kannan, Lydia Ray, Arjan Durresi:
Security-Performance Tradeoffs of Inheritance based Key Predistribution for Wireless Sensor Networks. CoRR cs.NI/0405035 (2004) - 2003
- [j7]Rajgopal Kannan, Sudipta Sarangi, Sibabrata Ray, S. Sitharama Iyengar:
Minimal sensor integrity: Measuring the vulnerability of sensor grids. Inf. Process. Lett. 86(1): 49-55 (2003) - [j6]Rajgopal Kannan, Sibabrata Ray, Radim Bartos:
An optical switching architecture for hierarchical group communication. J. Syst. Archit. 49(7-9): 297-314 (2003) - [j5]Rajgopal Kannan, Ramaraju Kalidindi, S. Sitharama Iyengar, Vijay Kumar:
Energy and rate based MAC protocol for wireless sensor networks. SIGMOD Rec. 32(4): 60-65 (2003) - [c11]Danyang Zhang, Sibabrata Ray, Rajgopal Kannan, S. Sitharama Iyengar:
A Recovery Algorithm for Reliable Multicasting in Reliable Networks. ICPP 2003: 493- - [c10]Ramaraju Kalidindi, Rajgopal Kannan, S. Sitharama Iyengar, Lydia Ray:
Distributed Energy Aware MAC Layer Protocol for Wireless Sensor Networks. International Conference on Wireless Networks 2003: 282-286 - [c9]Rajgopal Kannan, Sudipta Sarangi, S. Sitharama Iyengar, Lydia Ray:
Sensor-Centric Quality of Routing in Sensor Networks. INFOCOM 2003: 692-701 - [i1]Rajgopal Kannan:
The KR-Benes Network: A (almost) Control-Optimal Rearrangeable Permutation Network. CoRR cs.NI/0309006 (2003) - 2002
- [j4]Vir V. Phoha, S. Sitharama Iyengar, Rajgopal Kannan:
Faster Web Page Allocation with Neural Networks. IEEE Internet Comput. 6(6): 18-26 (2002) - [c8]Danyang Zhang, Sibabrata Ray, Rajgopal Kannan:
Static subgroup-based source recovery for reliable multicast in reliable networks. GLOBECOM 2002: 1445-1449 - [c7]Rajgopal Kannan, Sudipta Sarangi, Sibabrata Ray, S. Sitharama Iyengar:
Minimal Sensor Integrity in Sensor Grids. ICPP 2002: 567-571 - 2001
- [c6]Rajgopal Kannan, Sibabrata Ray:
Sorting Networks with Applications to Hierarchical Optical Interconnects. ICPP Workshops 2001: 327- - 2000
- [j3]Rajgopal Kannan, Sibabrata Ray:
MSXmin: a modular multicast ATM packet switch with low delay and hardware complexity. IEEE/ACM Trans. Netw. 8(3): 407-418 (2000) - [c5]Rajgopal Kannan, Sibabrata Ray:
A fair and efficient multicast ATM switch based on deflection routing. ICCCN 2000: 453-458 - [c4]Rajgopal Kannan, Sibabrata Ray:
A Fair and Efficient Multicast ATM Switch based on Deflection Routing. ISCC 2000: 494-499
1990 – 1999
- 1998
- [c3]Radim Bartos, Pilar de la Torre, Rajgopal Kannan:
Space-time-wavelength network with group communication locality. Multichannel Optical Networks: Theory and Practice 1998: 239-249 - 1997
- [j2]Rajgopal Kannan, Radim Bartos, Kyungsook Y. Lee, Harry F. Jordan:
SXmin: a self-routing high-performance ATM packet switch based on group-knockout principle. IEEE Trans. Commun. 45(6): 710-722 (1997) - [j1]Rajgopal Kannan, Daeshik Lee, Kyungsook Y. Lee, Harry F. Jordan:
Optical TDM sorting networks for high-speed switching. IEEE Trans. Commun. 45(6): 723-736 (1997) - [c2]Rajgopal Kannan:
A Pipelined Single-Bit Controlled Sorting Network with O(N log2 N). INFOCOM 1997: 253-260 - [c1]Rajgopal Kannan, Radim Bartos, Kyungsook Y. Lee, Harry F. Jordan:
STWnet: A High Bandwidth Space-Time-Wavelength Multiplexed Optical Switching Network. INFOCOM 1997: 777-784
Coauthor Index
Sanmukh R. Kuppannagari
aka: Sanmukh Rao Kuppannagari
aka: Sanmukh Rao Kuppannagari
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