A Pipelined Single-Bit Controlled Sorting Network with O(N log2 N). - Rajgopal Kannan (INFOCOM, 1997)

STWnet: A High Bandwidth Space-Time-Wavelength Multiplexed Optical Switching Network. - Rajgopal Kannan; Radim Bartos; Kyungsook Y. Lee; Harry F. Jordan (INFOCOM, 1997)

SXmin: a self-routing high-performance ATM packet switch based on group-knockout principle. - Rajgopal Kannan; Radim Bartos; Kyungsook Y. Lee; Harry F. Jordan (IEEE Trans. Commun., 1997)

Optical TDM sorting networks for high-speed switching. - Rajgopal Kannan; Daeshik Lee; Kyungsook Y. Lee; Harry F. Jordan (IEEE Trans. Commun., 1997)

Space-time-wavelength network with group communication locality. - Radim Bartos; Pilar de la Torre; Rajgopal Kannan (Multichannel Optical Networks: Theory and Practice, 1998)

A fair and efficient multicast ATM switch based on deflection routing. - Rajgopal Kannan; Sibabrata Ray (ICCCN, 2000)

MSXmin: a modular multicast ATM packet switch with low delay and hardware complexity. - Rajgopal Kannan; Sibabrata Ray (IEEE/ACM Trans. Netw., 2000)

Sorting Networks with Applications to Hierarchical Optical Interconnects. - Rajgopal Kannan; Sibabrata Ray (ICPP Workshops, 2001)

Static subgroup-based source recovery for reliable multicast in reliable networks. - Danyang Zhang; Sibabrata Ray; Rajgopal Kannan (GLOBECOM, 2002)

Minimal Sensor Integrity in Sensor Grids. - Rajgopal Kannan; Sudipta Sarangi; Sibabrata Ray; S. Sitharama Iyengar (ICPP, 2002)

Faster Web Page Allocation with Neural Networks. - Vir V. Phoha; S. Sitharama Iyengar; Rajgopal Kannan (IEEE Internet Comput., 2002)

A Recovery Algorithm for Reliable Multicasting in Reliable Networks. - Danyang Zhang; Sibabrata Ray; Rajgopal Kannan; S. Sitharama Iyengar (ICPP, 2003)

Distributed Energy Aware MAC Layer Protocol for Wireless Sensor Networks. - Ramaraju Kalidindi; Rajgopal Kannan; S. Sitharama Iyengar; Lydia Ray (International Conference on Wireless Networks, 2003)

Sensor-Centric Quality of Routing in Sensor Networks. - Rajgopal Kannan; Sudipta Sarangi; S. Sitharama Iyengar; Lydia Ray (INFOCOM, 2003)

The KR-Benes Network: A (almost) Control-Optimal Rearrangeable Permutation Network - Rajgopal Kannan (CoRR, 2003)

Minimal sensor integrity: Measuring the vulnerability of sensor grids. - Rajgopal Kannan; Sudipta Sarangi; Sibabrata Ray; S. Sitharama Iyengar (Inf. Process. Lett., 2003)

An optical switching architecture for hierarchical group communication. - Rajgopal Kannan; Sibabrata Ray; Radim Bartos (J. Syst. Archit., 2003)

Energy and rate based MAC protocol for wireless sensor networks. - Rajgopal Kannan; Ramaraju Kalidindi; S. Sitharama Iyengar; Vijay Kumar (SIGMOD Rec., 2003)

Reliable Energy-Constrained Routing in Sensor Networks. - Rajgopal Kannan; Lydia Ray; S. Sitharama Iyengar; Ramaraju Kalidindi (Handbook of Sensor Networks, 2004)

Authenticated Autonomous System Traceback. - Vamsi Paruchuri; Arjan Durresi; Rajgopal Kannan; S. Sitharama Iyengar (AINA (1), 2004)

Random Asynchronous Wakeup Protocol for Sensor Networks. - Vamsi Paruchuri; Shivakumar Basavaraju; Arjan Durresi; Rajgopal Kannan; S. Sitharama Iyengar (BROADNETS, 2004)

Max-Min Length-Energy-Constrained Routing in Wireless Sensor Networks. - Rajgopal Kannan; Lydia Ray; Ramaraju Kalidindi; S. Sitharama Iyengar (EWSN, 2004)

NEC: Node Energy Based Clustering Protocol for Wireless Sensor Networks with Guaranteed Connectivity. - Shilpa Dhar; Krishnendu Roy; Rajgopal Kannan (ICDCIT, 2004)

Sub-Grid Based Key Vector Assignment: A Key Pre-Distribution Scheme for Distributed Sensor Networks. - Ramaraju Kalidindi; Vamsi Paruchuri; Shivakumar Basavaraju; Cariappa Mallanda; Archit Kulshrestha; Lydia Ray; Rajgopal Kannan; Arjan Durresi; S. Sitharama Iyengar (International Conference on Wireless Networks, 2004)

Secure Cluster Based Energy Aware Routing for Wireless Sensor Networks. - Cariappa Mallanda; Shivakumar Basavaraju; Archit Kulshrestha; Rajgopal Kannan; Arjan Durresi; S. Sitharama Iyengar (International Conference on Wireless Networks, 2004)

Security-Performance Tradeoffs of Inheritance based Key Predistribution for Wireless Sensor Networks - Rajgopal Kannan; Lydia Ray; Arjan Durresi (CoRR, 2004)

Efficient And Secure Autonomous System Based Traceback. - Arjan Durresi; Vamsi Paruchuri; Leonard Barolli; Rajgopal Kannan; S. Sitharama Iyengar (J. Interconnect. Networks, 2004)

Sensor-centric energy-constrained reliable query routing for wireless sensor networks. - Rajgopal Kannan; Sudipta Sarangi; S. Sitharama Iyengar (J. Parallel Distributed Comput., 2004)

Game-theoretic models for reliable path-length and energy-constrained routing with data aggregation in wireless sensor networks. - Rajgopal Kannan; S. Sitharama Iyengar (IEEE J. Sel. Areas Commun., 2004)

Energy equivalence routing in wireless sensor networks. - Wei Ding; S. Sitharama Iyengar; Rajgopal Kannan; William Rummler (Microprocess. Microsystems, 2004)

Energy and deployment aware sensing for wireless sensor networks. - Ramaraju Kalidindi; Rajgopal Kannan (WiMob (3), 2005)

Analysis of Relationship between Strategic and Aggregate Energy Minimization in Delay-Constrained Wireless Networks - Rajgopal Kannan; Shuangqing Wei (CoRR, 2005)

Data Integrity Protocol for Sensor Networks. - Arjan Durresi; Vamsi Paruchuri; Rajgopal Kannan; S. Sitharama Iyengar (Int. J. Distributed Sens. Networks, 2005)

Subgroup-based Source Recovery or Local Recovery for Reliable Multicasting. - Danyang Zhang; Sibabrata Ray; Rajgopal Kannan; S. Sitharama Iyengar (Int. J. Comput. Their Appl., 2005)

Optimized Broadcast Protocol for Sensor Networks. - Arjan Durresi; Vamsi Paruchuri; S. Sitharama Iyengar; Rajgopal Kannan (IEEE Trans. Computers, 2005)

The KR-Benes Network: A Control-Optimal Rearrangeable Permutation Network. - Rajgopal Kannan (IEEE Trans. Computers, 2005)

Scheduling with Rate and Duty-Cycle Constraints for Wireless Networks over an Interference Channel. - Rajgopal Kannan; Shuangqing Wei (CISS, 2006)

Approximation Algorithms for Power-Aware Scheduling of Wireless Sensor Networks with Rate and Duty-Cycle Constraints. - Rajgopal Kannan; Shuangqing Wei (DCOSS, 2006)

Strategic Versus Collaborative Power Control in Relay Fading Channels. - Shuangqing Wei; Rajgopal Kannan (ISIT, 2006)

The Weighted Integrity Problem is Polynomial for Interval Graphs. - Sibabrata Ray; Rajgopal Kannan; Danyang Zhang; Hong Jiang (Ars Comb., 2006)

Using Misbehavior to Analyze Strategic versus Aggregate Energy Minimization in Wireless Sensor Networks. - Rajgopal Kannan; Shuangqing Wei; Vasu Chakravarthy; Guna Seetharaman (Int. J. Distributed Sens. Networks, 2006)

Sub-grid based key vector assignment: A key pre-distribution scheme for distributed sensor networks. - R. Kalidini; Rajgopal Kannan; S. Sitharama Iyengar; Arjan Durresi (Int. J. Pervasive Comput. Commun., 2006)

Sub-grid based key vector assignment: A key pre-distribution scheme for distributed sensor networks. - R. Kalindi; Rajgopal Kannan; S. Sitharama Iyengar; Arjan Durresi (Int. J. Pervasive Comput. Commun., 2006)

Minimax and Maxmin Solutions to Gaussian Jamming in Block-Fading Channels under Long Term Power Constraints. - George T. Amariucai; Shuangqing Wei; Rajgopal Kannan (CISS, 2007)

Algorithms for Relaying via Channel Quantization in Finite Rate Feedback Limited Sensor Networks. - Rajgopal Kannan; Shuangqing Wei; Guohui Deng; Vasu Chakravarthy; Murali Rangaswamy (CISS, 2007)

A Fully Polynomial Approximation Algorithm for Collaborative Relaying in Sensor Networks Under Finite Rate Constraints. - Rajgopal Kannan; Shuangqing Wei; Vasu Chakravarthy; Murali Rangaswamy (DCOSS, 2007)

Energy Efficient Relaying and Coalition-Forming in Relay Networks. - Rajgopal Kannan; Shuangqing Wei (ICASSP (3), 2007)

Gaussian Jamming in Block-Fading Channels under Long Term Power Constraints. - George T. Amariucai; Shuangqing Wei; Rajgopal Kannan (ISIT, 2007)

Energy Efficient Estimation of Gaussian Sources over Inhomogeneous Gaussian MAC Channels. - Shuangqing Wei; Rajgopal Kannan; S. Sitharama Iyengar; Nageswara S. V. Rao (GLOBECOM, 2008)

Quality of routing congestion games in wireless sensor networks. - Costas Busch; Rajgopal Kannan; Athanasios V. Vasilakos (WICON, 2008)

Bicretieria Optimization in Routing Games - Costas Busch; Rajgopal Kannan (CoRR, 2008)

Jamming in Fixed-Rate Wireless Systems with Power Constraints - Part II: Parallel Slow Fading Channels - George T. Amariucai; Shuangqing Wei; Rajgopal Kannan (CoRR, 2008)

Adaptive Routing Strategies in IEEE 802.16 Multi-Hop Wireless Backhaul Networks Based On Evolutionary Game Theory. - Markos P. Anastasopoulos; Pantelis-Daniel M. Arapoglou; Rajgopal Kannan; Panayotis G. Cottis (IEEE J. Sel. Areas Commun., 2008)

Online Algorithms for Maximizing Quality of Link Transmissions over a Jammed Wireless Channel. - Rajgopal Kannan; Shuangqing Wei; Costas Busch; Athanasios V. Vasilakos (PerCom Workshops, 2009)

The Impact of Exponential Utility Costs in Bottleneck Routing Games - Rajgopal Kannan; Costas Busch (CoRR, 2009)

Anonymous communication protocol for sensor networks. - Arjan Durresi; Vamsi Paruchuri; Leonard Barolli; Rajgopal Kannan (Int. J. Wirel. Mob. Comput., 2009)

Comparative analysis of quality of service and memory usage for adaptive failure detectors in healthcare systems. - Naixue Xiong; Athanasios V. Vasilakos; Laurence Tianruo Yang; Lingyang Song; Yi Pan 001; Rajgopal Kannan; Yingshu Li (IEEE J. Sel. Areas Commun., 2009)

Novel overlay/underlay cognitive radio waveforms using SD-SMSE framework to enhance spectrum efficiency- part i: theoretical framework and analysis in AWGN channel. - Vasu Chakravarthy; Xue Li 002; Zhiqiang Wu 001; Michael A. Temple; F. Garber; Rajgopal Kannan; Athanasios V. Vasilakos (IEEE Trans. Commun., 2009)

A Sparse Bayesian Framework for Anomaly Detection in Heterogeneous Networks. - Jian Zhang 004; Rajgopal Kannan (QSHINE, 2010)

Bottleneck Congestion Games with Logarithmic Price of Anarchy. - Rajgopal Kannan; Costas Busch (SAGT, 2010)

Bottleneck Routing Games with Low Price of Anarchy - Rajgopal Kannan; Costas Busch (CoRR, 2010)

Polynomial Bottleneck Congestion Games with Optimal Price of Anarchy - Rajgopal Kannan; Costas Busch; Athanasios V. Vasilakos (CoRR, 2010)

A novel self-tuning feedback controller for active queue management supporting TCP flows. - Naixue Xiong; Athanasios V. Vasilakos; Laurence Tianruo Yang; Cheng-Xiang Wang 001; Rajgopal Kannan; Chin-Chen Chang 001; Yi Pan 001 (Inf. Sci., 2010)

Approximation algorithms for minimum energy transmission scheduling in rate and duty-cycle constrained wireless networks. - Rajgopal Kannan; Shuangqing Wei; Vasu Chakravarthy; Muralidhar Rangaswamy (IEEE/ACM Trans. Netw., 2010)

TCP Throughput Adaptation in WiMax Networks Using Replicator Dynamics. - Markos P. Anastasopoulos; Dionysia K. Petraki; Rajgopal Kannan; Athanasios V. Vasilakos (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Special Issue on Game Theory. - Athanasios V. Vasilakos; Rajgopal Kannan; Ekram Hossain 001; H. Kintis (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Bottleneck Routing Games on Grids. - Costas Busch; Rajgopal Kannan; Alfred Samman (GAMENETS, 2011)

Optimal Price of Anarchy of Polynomial and Super-Polynomial Bottleneck Congestion Games. - Rajgopal Kannan; Costas Busch; Athanasios V. Vasilakos (GAMENETS, 2011)

Sensing and Transmission in Probabilistically Interference-Limited Cognitive Radio Systems. - Shuangqing Wei; Vasu Chakravarthy; Zhiqiang Wu 001; Rajgopal Kannan (GLOBECOM, 2011)

Stretch in Bottleneck Games. - Costas Busch; Rajgopal Kannan (COCOON, 2012)

Approximating Congestion + Dilation in Networks via "Quality of Routing" Games. - Costas Busch; Rajgopal Kannan; Athanasios V. Vasilakos (IEEE Trans. Computers, 2012)

CSI Usage over Parallel Fading Channels under Jamming Attacks: A Game Theory Study. - Shuangqing Wei; Rajgopal Kannan; Vasu Chakravarthy; Murali Rangaswamy (IEEE Trans. Commun., 2012)

The Price of Anarchy is Unbounded for Congestion Games with Superpolynomial Latency Costs. - Rajgopal Kannan; Costas Busch; Paul G. Spirakis (CoRR, 2013)

Distributed exact subgraph matching in small diameter dynamic graphs. - Charith Wickramaarachchi; Rajgopal Kannan; Charalampos Chelmis; Viktor K. Prasanna (IEEE BigData, 2016)

On-chip memory efficient data layout for 2D FFT on 3D memory integrated FPGA. - Shreyas G. Singapura; Rajgopal Kannan; Viktor K. Prasanna (HPEC, 2016)

Optimal Customer Targeting for Sustainable Demand Response in Smart Grids. - Sanmukh R. Kuppannagari; Rajgopal Kannan; Charalampos Chelmis; Arash Saber Tehrani; Viktor K. Prasanna (ICCS, 2016)

Implementation of Learning-Based Dynamic Demand Response on a Campus Micro-Grid. - Sanmukh R. Kuppannagari; Rajgopal Kannan; Charalampos Chelmis; Viktor K. Prasanna (IJCAI, 2016)

Software defined connected prosumer communities. - Charalampos Chelmis; Rajgopal Kannan; Viktor K. Prasanna (WF-IoT, 2016)

Spatio-Temporal Modeling of Criminal Activity. - Michail Misyrlis; Chung Ming Cheung; Ajitesh Srivastava; Rajgopal Kannan; Viktor K. Prasanna (SocialSens@CPSWeek, 2017)

ReCALL: Reordered Cache Aware Locality Based Graph Processing. - Kartik Lakhotia; Shreyas G. Singapura; Rajgopal Kannan; Viktor K. Prasanna (HiPC, 2017)

Quickly finding a truss in a haystack. - Oded Green; James Fox; Euna Kim; Federico Busato; Nicola Bombieri; Kartik Lakhotia; Shijie Zhou 001; Shreyas G. Singapura; Hanqing Zeng; Rajgopal Kannan; Viktor K. Prasanna; David A. Bader (HPEC, 2017)

Optimal data layout for block-level random accesses to scratchpad. - Shreyas G. Singapura; Rajgopal Kannan; Viktor K. Prasanna (HPEC, 2017)

OSCAR: Optimizing SCrAtchpad reuse for graph processing. - Shreyas G. Singapura; Ajitesh Srivastava; Rajgopal Kannan; Viktor K. Prasanna (HPEC, 2017)

Design and implementation of parallel PageRank on multicore platforms. - Shijie Zhou 001; Kartik Lakhotia; Shreyas G. Singapura; Hanqing Zeng; Rajgopal Kannan; Viktor K. Prasanna; James Fox; Euna Kim; Oded Green; David A. Bader (HPEC, 2017)

PReSS towards a secure smart grid: Protection recommendations against smart spoofing. - Charith Wickramaarachchi; Rajgopal Kannan; Charalampos Chelmis; Viktor K. Prasanna (ISGT, 2017)

Accelerating low rank matrix completion on FPGA. - Shijie Zhou 001; Rajgopal Kannan; Viktor K. Prasanna (ReConFig, 2017)

Optimal net-load balancing in smart grids with high PV penetration. - Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (BuildSys, 2017)

CASPaR: Congestion avoidance shortest path routing for delay tolerant networks. - Michael F. Stewart; Rajgopal Kannan; Amit Dvir; Bhaskar Krishnamachari (Int. J. Distributed Sens. Networks, 2017)

Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets. - Saikat Basu; Manohar Karki; Sangram Ganguly; Robert DiBiano; Supratik Mukhopadhyay; Shreekant Gayaka; Rajgopal Kannan; Ramakrishna R. Nemani (Neural Process. Lett., 2017)

How to Stop Violence Among Homeless: Extension of Voter Model and Intervention Strategies. - Ajitesh Srivastava; Robin Petering; Rajgopal Kannan; Eric Rice; Viktor K. Prasanna (ASONAM, 2018)

FActCheck: Keeping Activation of Fake News at Check. - Ajitesh Srivastava; Rajgopal Kannan; Charalampos Chelmis; Viktor K. Prasanna (AAMAS, 2018)

An FPGA framework for edge-centric graph processing. - Shijie Zhou 001; Rajgopal Kannan; Hanqing Zeng; Viktor K. Prasanna (CF, 2018)

FASTCF: FPGA-based Accelerator for STochastic-Gradient-Descent-based Collaborative Filtering. - Shijie Zhou 001; Rajgopal Kannan; Yu Min; Viktor K. Prasanna (FPGA, 2018)

Temporal ensemble learning of univariate methods for short term load forecasting. - Chung Ming Cheung; Rajgopal Kannan; Viktor K. Prasanna (ISGT, 2018)

Risk aware net load balancing in micro grids with high DER penetration. - Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (ISGT, 2018)

NO-LESS: Near optimal curtailment strategy selection for net load balancing in micro grids. - Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (ISGT, 2018)

Polynomial Time Equilibria in Bottleneck Congestion Games. - Costas Busch; Rajgopal Kannan (EC, 2018)

Behind-the-Meter Solar Generation Disaggregation using Consumer Mixture Models. - Chung Ming Cheung; Wen Zhong; Chuanxiu Xiong; Ajitesh Srivastava; Rajgopal Kannan; Viktor K. Prasanna (SmartGridComm, 2018)

Generative Adversarial Network for Synthetic Time Series Data Generation in Smart Grids. - Chi Zhang 022; Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (SmartGridComm, 2018)

Accelerating PageRank using Partition-Centric Processing. - Kartik Lakhotia; Rajgopal Kannan; Viktor K. Prasanna (USENIX ATC, 2018)

GPOP: A cache- and work-efficient framework for Graph Processing Over Partitions. - Kartik Lakhotia; Sourav Pati; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2018)

Optimal Discrete Net-Load Balancing in Smart Grids with High PV Penetration. - Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (ACM Trans. Sens. Networks, 2018)

RecANt: Network-based Recruitment for Active Fake News Correction. - Ajitesh Srivastava; Rajgopal Kannan; Charalampos Chelmis; Viktor K. Prasanna (IEEE BigData, 2019)

Parallel edge-based sampling for static and dynamic graphs. - Kartik Lakhotia; Rajgopal Kannan; Aditya Gaur; Ajitesh Srivastava; Viktor K. Prasanna (CF, 2019)

Towards Improved Real-Time Observability of Behind-Meter PhotoVoltaic Systems: A Data-Driven Approach. - Chung Ming Cheung; Sanmukh Rao Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (e-Energy, 2019)

Approximate Scheduling of DERs with Discrete Complex Injections. - Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (e-Energy, 2019)

On Predicting Crime with Heterogeneous Spatial Patterns: Methods and Evaluation. - Chuanxiu Xiong; Ajitesh Srivastava; Rajgopal Kannan; Omkar Damle; Viktor K. Prasanna; Erroll Southers (SIGSPATIAL/GIS, 2019)

SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. - Yue Niu 001; Hanqing Zeng; Ajitesh Srivastava; Kartik Lakhotia; Rajgopal Kannan; Yanzhi Wang; Viktor K. Prasanna (HiPC, 2019)

IP Cores for Graph Kernels on FPGAs. - Sanmukh R. Kuppannagari; Rachit Rajat; Rajgopal Kannan; Aravind Dasu; Viktor K. Prasanna (HPEC, 2019)

Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware. - Hongkuan Zhou; Ajitesh Srivastava; Rajgopal Kannan; Viktor K. Prasanna (HPEC, 2019)

A cooperative multi-agent deep reinforcement learning framework for real-time residential load scheduling. - Chi Zhang 022; Sanmukh R. Kuppannagari; Chuanxiu Xiong; Rajgopal Kannan; Viktor K. Prasanna (IoTDI, 2019)

Accurate, Efficient and Scalable Graph Embedding. - Hanqing Zeng; Hongkuan Zhou; Ajitesh Srivastava; Rajgopal Kannan; Viktor K. Prasanna (IPDPS, 2019)

Predicting memory accesses: the road to compact ML-driven prefetcher. - Ajitesh Srivastava; Angelos Lazaris; Benjamin Brooks; Rajgopal Kannan; Viktor K. Prasanna (MEMSYS, 2019)

GPOP: a cache and memory-efficient framework for graph processing over partitions. - Kartik Lakhotia; Rajgopal Kannan; Sourav Pati; Viktor K. Prasanna (PPoPP, 2019)

Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation. - Chi Zhang 022; Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (BuildSys, 2019)

Planting Trees for scalable and efficient Canonical Hub Labeling. - Kartik Lakhotia; Rajgopal Kannan; Qing Dong; Viktor K. Prasanna (Proc. VLDB Endow., 2019)

Network-based intervention strategies to reduce violence among homeless. - Ajitesh Srivastava; Robin Petering; Nicholas Barr; Rajgopal Kannan; Eric Rice; Viktor K. Prasanna (Soc. Netw. Anal. Min., 2019)

HitGraph: High-throughput Graph Processing Framework on FPGA. - Shijie Zhou 001; Rajgopal Kannan; Viktor K. Prasanna; Guna Seetharaman; Qing Wu (IEEE Trans. Parallel Distributed Syst., 2019)

Reuse Kernels or Activations?: A Flexible Dataflow for Low-latency Spectral CNN Acceleration. - Yue Niu 001; Rajgopal Kannan; Ajitesh Srivastava; Viktor K. Prasanna (FPGA, 2020)

QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators. - Rachit Rajat; Yuan Meng 001; Sanmukh R. Kuppannagari; Ajitesh Srivastava; Viktor K. Prasanna; Rajgopal Kannan (FPGA, 2020)

Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction. - Ajitesh Srivastava; Naifeng Zhang; Rajgopal Kannan; Viktor K. Prasanna (HiPC, 2020)

How to Efficiently Train Your AI Agent? Characterizing and Evaluating Deep Reinforcement Learning on Heterogeneous Platforms. - Yuan Meng 001; Yang Yang 111; Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (HPEC, 2020)

Accelerator Design and Performance Modeling for Homomorphic Encrypted CNN Inference. - Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna (HPEC, 2020)

GraphSAINT: Graph Sampling Based Inductive Learning Method. - Hanqing Zeng; Hongkuan Zhou; Ajitesh Srivastava; Rajgopal Kannan; Viktor K. Prasanna (ICLR, 2020)

Load Demand User Profiling in Smart Grids with Distributed Solar Generation. - Chung Ming Cheung; Sanmukh Rao Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (ISGT, 2020)

RAOP: Recurrent Neural Network Augmented Offset Prefetcher. - Pengmiao Zhang; Ajitesh Srivastava; Benjamin Brooks; Rajgopal Kannan; Viktor K. Prasanna (MEMSYS, 2020)

MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction. - Ajitesh Srivastava; Ta-Yang Wang; Pengmiao Zhang; César Augusto Fonticielha De Rose; Rajgopal Kannan; Viktor K. Prasanna (PAKDD (2), 2020)

FASTHash: FPGA-Based High Throughput Parallel Hash Table. - Yang Yang 111; Sanmukh R. Kuppannagari; Ajitesh Srivastava; Rajgopal Kannan; Viktor K. Prasanna (ISC, 2020)

RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs. - Kartik Lakhotia; Rajgopal Kannan; Viktor K. Prasanna; César A. F. De Rose (Proc. VLDB Endow., 2020)

GPOP: A Scalable Cache- and Memory-efficient Framework for Graph Processing over Parts. - Kartik Lakhotia; Rajgopal Kannan; Sourav Pati; Viktor K. Prasanna (ACM Trans. Parallel Comput., 2020)

Accelerating Stochastic Gradient Descent Based Matrix Factorization on FPGA. - Shijie Zhou 001; Rajgopal Kannan; Viktor K. Prasanna (IEEE Trans. Parallel Distributed Syst., 2020)

SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings. - Hongkuan Zhou; James Orme-Rogers; Rajgopal Kannan; Viktor K. Prasanna (CIKM, 2021)

BoostGCN: A Framework for Optimizing GCN Inference on FPGA. - Bingyi Zhang; Rajgopal Kannan; Viktor K. Prasanna (FCCM, 2021)

DYNAMAP: Dynamic Algorithm Mapping Framework for Low Latency CNN Inference. - Yuan Meng 001; Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (FPGA, 2021)

A Framework for Optimizing GCN Inference on FPGA. - Bingyi Zhang; Rajgopal Kannan; Viktor K. Prasanna (FPGA, 2021)

Performance Modeling and FPGA Acceleration of Homomorphic Encrypted Convolution. - Tian Ye 002; Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (FPL, 2021)

How to Avoid Zero-Spacing in Fractionally-Strided Convolution? A Hardware-Algorithm Co-Design Methodology. - Yuan Meng 001; Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (HiPC, 2021)

Monte Carlo Tree Search for Task Mapping onto Heterogeneous Platforms. - Ta-Yang Wang; William Chang; Ajitesh Srivastava; Rajgopal Kannan; Viktor K. Prasanna (HiPC, 2021)

In-network reductions on multi-dimensional HyperX. - Kartik Lakhotia; Fabrizio Petrini; Rajgopal Kannan; Viktor K. Prasanna (HOTI, 2021)

Programmable FPGA-based Memory Controller. - Sasindu Wijeratne; Sanket Pattnaik; Zhiyu Chen; Rajgopal Kannan; Viktor K. Prasanna (HOTI, 2021)

Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA. - Sasindu Wijeratne; Rajgopal Kannan; Viktor K. Prasanna (HPEC, 2021)

Efficient Neighbor-Sampling-based GNN Training on CPU-FPGA Heterogeneous Platform. - Bingyi Zhang; Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (HPEC, 2021)

Leveraging Spatial Information in Smart Grids using STGCN for Short-Term Load Forecasting. - Chung Ming Cheung; Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (IC3, 2021)

Decoupling the Depth and Scope of Graph Neural Networks. - Hanqing Zeng; Muhan Zhang; Yinglong Xia; Ajitesh Srivastava; Andrey Malevich; Rajgopal Kannan; Viktor K. Prasanna; Long Jin; Ren Chen (NeurIPS, 2021)

GenMAT: A General-Purpose Machine Learning-Driven Auto-Tuner for Heterogeneous Platforms. - Naifeng Zhang; Ajitesh Srivastava; Rajgopal Kannan; Viktor K. Prasanna (PEHC@SC, 2021)

FPGA Acceleration of Number Theoretic Transform. - Tian Ye 002; Yang Yang 111; Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (ISC, 2021)

Accurate, efficient and scalable training of Graph Neural Networks. - Hanqing Zeng; Hongkuan Zhou; Ajitesh Srivastava; Rajgopal Kannan; Viktor K. Prasanna (J. Parallel Distributed Comput., 2021)

Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. - Hongkuan Zhou; Ajitesh Srivastava; Hanqing Zeng; Rajgopal Kannan; Viktor K. Prasanna (Proc. VLDB Endow., 2021)

NTTGen: a framework for generating low latency NTT implementations on FPGA. - Yang Yang 111; Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (CF, 2022)

Fine-grained address segmentation for attention-based variable-degree prefetching. - Pengmiao Zhang; Ajitesh Srivastava; Anant V. Nori; Rajgopal Kannan; Viktor K. Prasanna (CF, 2022)

Throughput optimization in heterogeneous MIMO networks: a GNN-based approach. - Ta-Yang Wang; Hongkuan Zhou; Rajgopal Kannan; Ananthram Swami; Viktor K. Prasanna (GNNet@CoNEXT, 2022)

Towards Programmable Memory Controller for Tensor Decomposition. - Sasindu Wijeratne; Ta-Yang Wang; Rajgopal Kannan; Viktor K. Prasanna (DATA, 2022)

A2P: Attention-based Memory Access Prediction for Graph Analytics. - Pengmiao Zhang; Rajgopal Kannan; Anant V. Nori; Viktor K. Prasanna (DATA, 2022)

FPGA Accelerator for Homomorphic Encrypted Sparse Convolutional Neural Network Inference. - Yang Yang 111; Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (FCCM, 2022)

End-to-End Acceleration of Homomorphic Encrypted CNN Inference on FPGAs. - Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna (FPGA, 2022)

Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform. - Yuan Meng 001; Rajgopal Kannan; Viktor K. Prasanna (FPL, 2022)

Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA. - Bingyi Zhang; Rajgopal Kannan; Viktor K. Prasanna; Carl E. Busart (FPL, 2022)

Bandwidth Efficient Homomorphic Encrypted Matrix Vector Multiplication Accelerator on FPGA. - Yang Yang 111; Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (FPT, 2022)

Accelerating Prefix Scan with in-network computing on Intel PIUMA. - Kartik Lakhotia; Fabrizio Petrini; Rajgopal Kannan; Viktor K. Prasanna (HIPC, 2022)

FPGA Acceleration of Fully Homomorphic Encryption over the Torus. - Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna (HPEC, 2022)

SHARP: Software Hint-Assisted Memory Access Prediction for Graph Analytics. - Pengmiao Zhang; Rajgopal Kannan; Xiangzhi Tong; Anant V. Nori; Viktor K. Prasanna (HPEC, 2022)

Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA. - Hongkuan Zhou; Bingyi Zhang; Rajgopal Kannan; Viktor K. Prasanna; Carl E. Busart (IPDPS, 2022)

Estimating the Impact of Communication Schemes for Distributed Graph Processing. - Tian Ye 002; Sanmukh R. Kuppannagari; César A. F. De Rose; Sasindu Wijeratne; Rajgopal Kannan; Viktor K. Prasanna (ISPDC, 2022)

ReSemble: Reinforced Ensemble Framework for Data Prefetching. - Pengmiao Zhang; Rajgopal Kannan; Ajitesh Srivastava; Anant V. Nori; Viktor K. Prasanna (SC, 2022)

GraphHop++: New Insights into GraphHop and Its Enhancement. - Tian Xie 005; Rajgopal Kannan; C.-C. Jay Kuo (CoRR, 2022)

TransforMAP: Transformer for Memory Access Prediction. - Pengmiao Zhang; Ajitesh Srivastava; Anant V. Nori; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2022)

Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics. - Pengmiao Zhang; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2022)

C-MemMAP: clustering-driven compact, adaptable, and generalizable meta-LSTM models for memory access prediction. - Pengmiao Zhang; Ajitesh Srivastava; Ta-Yang Wang; César A. F. De Rose; Rajgopal Kannan; Viktor K. Prasanna (Int. J. Data Sci. Anal., 2022)

Accelerating Allreduce With In-Network Reduction on Intel PIUMA. - Kartik Lakhotia; Fabrizio Petrini; Rajgopal Kannan; Viktor K. Prasanna (IEEE Micro, 2022)

PPOAccel: A High-Throughput Acceleration Framework for Proximal Policy Optimization. - Yuan Meng 001; Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (IEEE Trans. Parallel Distributed Syst., 2022)

Training Heterogeneous Graph Neural Networks using Bandit Sampling. - Ta-Yang Wang; Rajgopal Kannan; Viktor K. Prasanna (CIKM, 2023)

Characterizing Speed Performance of Multi-Agent Reinforcement Learning. - Samuel Wiggins; Yuan Meng 001; Rajgopal Kannan; Viktor K. Prasanna (DATA, 2023)

A Framework for Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform via on-chip Dynamic Tree Management. - Yuan Meng 001; Rajgopal Kannan; Viktor K. Prasanna (FPGA, 2023)

Accelerating Sparse MTTKRP for Tensor Decomposition on FPGA. - Sasindu Wijeratne; Ta-Yang Wang; Rajgopal Kannan; Viktor K. Prasanna (FPGA, 2023)

FPGA Acceleration of Rotation in Homomorphic Encryption Using Dynamic Data Layout. - Yang Yang 111; Weihang Long; Rajgopal Kannan; Viktor K. Prasanna (FPL, 2023)

Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition. - Jacob Fein-Ashley; Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna; Carl E. Busart (HPEC, 2023)

G-MAP: A Graph Neural Network-Based Framework for Memory Access Prediction. - Abhiram Rao Gorle; Pengmiao Zhang; Rajgopal Kannan; Viktor K. Prasanna (HPEC, 2023)

PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models. - Neelesh Gupta; Pengmiao Zhang; Rajgopal Kannan; Viktor K. Prasanna (HPEC, 2023)

Performance of Graph Neural Networks for Point Cloud Applications. - Dhruv Parikh; Bingyi Zhang; Rajgopal Kannan; Viktor K. Prasanna; Carl E. Busart (HPEC, 2023)

Accelerating Multi-Agent DDPG on CPU-FPGA Heterogeneous Platform. - Samuel Wiggins; Yuan Meng 001; Rajgopal Kannan; Viktor K. Prasanna (HPEC, 2023)

Accelerating GNN-Based SAR Automatic Target Recognition on HBM-Enabled FPGA. - Bingyi Zhang; Rajgopal Kannan; Viktor K. Prasanna; Carl E. Busart (HPEC, 2023)

HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN. - Hongkuan Zhou; Rajgopal Kannan; Ananthram Swami; Viktor K. Prasanna (INFOCOM, 2023)

Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU. - Sasindu Wijeratne; Rajgopal Kannan; Viktor K. Prasanna (SBAC-PAD, 2023)

Phases, Modalities, Spatial and Temporal Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics. - Pengmiao Zhang; Rajgopal Kannan; Viktor K. Prasanna (SC, 2023)

Graph Neural Network for Accurate and Low-complexity SAR ATR. - Bingyi Zhang; Sasindu Wijeratne; Rajgopal Kannan; Viktor K. Prasanna; Carl E. Busart (CoRR, 2023)

Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers. - Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna; Carl E. Busart; Lance M. Kaplan (CoRR, 2023)

Behind-the-Meter Solar Generation Disaggregation at Varying Aggregation Levels Using Consumer Mixture Models. - Chung Ming Cheung; Sanmukh Rao Kuppannagari; Ajitesh Srivastava; Rajgopal Kannan; Viktor K. Prasanna (IEEE Trans. Sustain. Comput., 2023)

Parallel Peeling of Bipartite Networks for Hierarchical Dense Subgraph Discovery. - Kartik Lakhotia; Rajgopal Kannan; Viktor K. Prasanna (ACM Trans. Parallel Comput., 2023)

Label Efficient Regularization and Propagation for Graph Node Classification. - Tian Xie 005; Rajgopal Kannan; C.-C. Jay Kuo (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Accelerating Sparse MTTKRP for Small Tensor Decomposition on GPU $ mathcal{X}_{(d)}$. - Sasindu Wijeratne; Rajgopal Kannan; Viktor K. Prasanna (IEEECONF, 2024)

A Framework for Generating Accelerators for Homomorphic Encryption Operations on FPGAs. - Yang Yang 111; Rajgopal Kannan; Viktor K. Prasanna (ASAP, 2024)

Sparse MTTKRP Acceleration for Tensor Decomposition on GPU. - Sasindu Wijeratne; Rajgopal Kannan; Viktor K. Prasanna (CF, 2024)

Accelerating ViT Inference on FPGA through Static and Dynamic Pruning. - Dhruv Parikh; Shouyi Li; Bingyi Zhang; Rajgopal Kannan; Carl E. Busart; Viktor K. Prasanna (FCCM, 2024)

Bandwidth Efficient Homomorphic Encrypted Discrete Fourier Transform Acceleration on FPGA. - Zhihan Xu; Yang Yang 111; Rajgopal Kannan; Viktor K. Prasanna (FCCM, 2024)

GCV-Turbo: End-to-end Acceleration of GNN-based Computer Vision Tasks on FPGA. - Bingyi Zhang; Rajgopal Kannan; Carl E. Busart; Viktor K. Prasanna (FCCM, 2024)

Heterogeneous Graph Neural Network based on Bandit Sampling for Attribute Completion. - Ta-Yang Wang; Rajgopal Kannan; Viktor K. Prasanna (ICKG, 2024)

A Single Graph Convolution is All You Need: Efficient Grayscale Image Classification. - Jacob Fein-Ashley; Sachini Wickramasinghe; Bingyi Zhang; Rajgopal Kannan; Viktor K. Prasanna (ICIP, 2024)

TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. - Gangda Deng; Hongkuan Zhou; Hanqing Zeng; Yinglong Xia; Christopher Leung; Jianbo Li; Rajgopal Kannan; Viktor K. Prasanna (IPDPS, 2024)

Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching. - Pengmiao Zhang; Neelesh Gupta; Rajgopal Kannan; Viktor K. Prasanna (IPDPS, 2024)

PAHD: Perception-Action based Human Decision Making using Explainable Graph Neural Networks on SAR Images. - Sasindu Wijeratne; Bingyi Zhang; Rajgopal Kannan; Viktor K. Prasanna; Carl E. Busart (CoRR, 2024)

Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks. - Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna; Carl E. Busart (CoRR, 2024)

FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification. - Xu Wang; Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2024)

VTR: An Optimized Vision Transformer for SAR ATR Acceleration on FPGA. - Sachini Wickramasinghe; Dhruv Parikh; Bingyi Zhang; Rajgopal Kannan; Viktor K. Prasanna; Carl E. Busart (CoRR, 2024)

Studying the Effects of Self-Attention on SAR Automatic Target Recognition. - Jacob Fein-Ashley; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2024)

Learning Personalized Scoping for Graph Neural Networks under Heterophily. - Gangda Deng; Hongkuan Zhou; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2024)

Adversarial Training in Low-Label Regimes with Margin-Based Interpolation. - Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2024)

Accelerating Graph Analytics Using Attention-Based Data Prefetcher. - Pengmiao Zhang; Rajgopal Kannan; Anant V. Nori; Viktor K. Prasanna (SN Comput. Sci., 2024)

Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours. - Yuxin Yang; Hongkuan Zhou; Rajgopal Kannan; Viktor K. Prasanna (Proc. VLDB Endow., 2024)

VisionAGILE: A Versatile Domain-Specific Accelerator for Computer Vision Tasks. - Bingyi Zhang; Rajgopal Kannan; Carl E. Busart; Viktor K. Prasanna (IEEE Trans. Parallel Distributed Syst., 2024)

High Throughput Matrix Transposition on HBM-Enabled FPGAs. - Yang Yang 111; Rajgopal Kannan; Viktor K. Prasanna (FCCM, 2025)

OLA: An FPGA-based Overlay Accelerator for Privacy Preserving Machine Learning with Homomorphic Encryption. - Yang Yang 111; Rajgopal Kannan; Viktor K. Prasanna (FPGA, 2025)

FAST: FPGA Acceleration of Fully Homomorphic Encryption with Efficient Bootstrapping. - Zhihan Xu; Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna (FPGA, 2025)

Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information. - Ömer Faruk Akgül; Rajgopal Kannan; Viktor K. Prasanna (UAI, 2025)

AP Selection in Uplink Cell-Free Massive MIMO: An Unsupervised Heterogeneous GNN Approach. - Yuhong Liu; Gangda Deng; Hongkuan Zhou; Cauligi S. Raghavendra; Rajgopal Kannan; Ananthram Swami; Viktor K. Prasanna (WCNC, 2025)

Model-Architecture Codesign for High-Performance and Energy-Efficient SAR ATR on FPGA. - Bingyi Zhang; Rajgopal Kannan; Carl E. Busart; Viktor K. Prasanna (IEEE Trans. Geosci. Remote. Sens., 2025)

ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning. - Dhruv Parikh; Jacob Fein-Ashley; Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2025)

Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning. - Nikunj Gupta; James Zachary Hare; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2025)

Accelerating Sparse MTTKRP for Small Tensor Decomposition on GPU. - Sasindu Wijeratne; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2025)

ViTeGNN: Towards Versatile Inference of Temporal Graph Neural Networks on FPGA. - Hongkuan Zhou; Bingyi Zhang; Rajgopal Kannan; Carl E. Busart; Viktor K. Prasanna (IEEE Trans. Parallel Distributed Syst., 2025)

Adversarial Knapsack for Sequential Competitive Resource Allocation. - Omkar Thakoor; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2025)

RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion. - Ömer Faruk Akgül; Feiyu Zhu; Yuxin Yang; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2025)

AMPED: Accelerating MTTKRP for Billion-Scale Sparse Tensor Decomposition on Multiple GPUs. - Sasindu Wijeratne; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2025)

GraFetch: Accelerating Graph Applications Through Domain Specific Hierarchical Hybrid Prefetching. - Pengmiao Zhang; Rajgopal Kannan; Viktor K. Prasanna (IEEE Trans. Parallel Distributed Syst., 2025)