Viktor K. Prasanna - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 100 from 783

2025

An Acceleration Framework for Deep Reinforcement Learning Using Heterogeneous SystemsYuan Meng 0001, Mahesh A. Iyer, Viktor K. Prasanna. tpds, 36(7):1401-1415, July 2025. [doi]

OLA: An FPGA-based Overlay Accelerator for Privacy Preserving Machine Learning with Homomorphic EncryptionYang Yang 0111, Rajgopal Kannan, Viktor K. Prasanna. fpga 2025: 127-138 [doi]

High Throughput Matrix Transposition on HBM-Enabled FPGAsYang Yang 0111, Rajgopal Kannan, Viktor K. Prasanna. fccm 2025: 38-46 [doi]

LocAgent: Graph-Guided LLM Agents for Code LocalizationZhaoling Chen, Robert Tang, Gangda Deng, Fang Wu, Jialong Wu 0010, Zhiwei Jiang, Viktor K. Prasanna, Arman Cohan, Xingyao Wang 0002. acl 2025: 8697-8727 [doi]

ELLIE: Energy-Efficient LLM Inference at the Edge Via Prefill-Decode SplittingHaoyang Fan, Yi-Chien Lin, Viktor K. Prasanna. asap 2025: 139-146 [doi]

AP Selection in Uplink Cell-Free Massive MIMO: An Unsupervised Heterogeneous GNN ApproachYuhong Liu, Gangda Deng, Hongkuan Zhou, Cauligi S. Raghavendra, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna. wcnc 2025: 1-6 [doi]

SMART: High-Performance SAR ATR Through Model-Architecture Co-Design on FPGASachini Wickramasinghe, Yi-Chien Lin, Cauligi S. Raghavendra, Viktor K. Prasanna. fccm 2025: 75-84 [doi]

Accelerating Independent Multi-Agent Reinforcement Learning on Multi-GPU PlatformsSamuel Wiggins, Nikunj Gupta, Grace Zgheib, Mahesh A. Iyer, Viktor K. Prasanna. europar 2026: 313-326 [doi]

FAST: FPGA Acceleration of Fully Homomorphic Encryption with Efficient BootstrappingZhihan Xu, Tian Ye 0002, Rajgopal Kannan, Viktor K. Prasanna. fpga 2025: 115-126 [doi]

Model-Architecture Codesign for High-Performance and Energy-Efficient SAR ATR on FPGABingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna. tgrs, 63:1-18, 2025. [doi]

GraFetch: Accelerating Graph Applications Through Domain Specific Hierarchical Hybrid PrefetchingPengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna. tpds, 36(7):1542-1559, July 2025. [doi]

ViTeGNN: Towards Versatile Inference of Temporal Graph Neural Networks on FPGAHongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna. tpds, 36(3):502-519, March 2025. [doi]

Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor InformationÖmer Faruk Akgül, Rajgopal Kannan, Viktor K. Prasanna. uai 2025: 45-63 [doi]

2024

31st Reconfigurable Architectures Workshop (RAW 2024)Jürgen Becker 0001, Zhenman Fang, Viktor K. Prasanna, Marco D. Santambrogio, Ramachandran Vaidyanathan. ipps 2024: 79 [doi]

A Framework for Generating Accelerators for Homomorphic Encryption Operations on FPGAsYang Yang 0111, Rajgopal Kannan, Viktor K. Prasanna. asap 2024: 61-70 [doi]

TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation LearningGangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna. ipps 2024: 926-937 [doi]

A Single Graph Convolution is All You Need: Efficient Grayscale Image ClassificationJacob Fein-Ashley, Sachini Wickramasinghe, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna. icip 2024: 849-855 [doi]

TabConv: Low-Computation CNN Inference via Table LookupsNeelesh Gupta, Narayanan Kannan, Pengmiao Zhang, Viktor K. Prasanna. cf 2024: [doi]

Towards Real-Time LLM Inference on Heterogeneous Edge PlatformsRakshith Jayanth, Neelesh Gupta, Souvik Kundu, Deepak A. Mathaikutty, Viktor K. Prasanna. hipc 2024: 197-198 [doi]

Benchmarking Edge AI Platforms for High-Performance ML InferenceRakshith Jayanth, Neelesh Gupta, Viktor K. Prasanna. hpec 2024: 1-7 [doi]

A Unified CPU-GPU Protocol for GNN TrainingYi-Chien Lin, Gangda Deng, Viktor K. Prasanna. cf 2024: [doi]

HitGNN: High-Throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous PlatformYi-Chien Lin, Bingyi Zhang, Viktor K. Prasanna. tpds, 35(5):707-719, May 2024. [doi]

ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core ProcessorYi-Chien Lin, Yuyang Chen, Sameh Gobriel, Nilesh Jain, Gopi Krishna Jha, Viktor K. Prasanna. ipps 2024: 361-372 [doi]

xBS-GNN: Accelerating Billion-Scale GNNTraining on FPGAYi-Chien Lin, Zhijie Xu, Viktor K. Prasanna. sc 2024: 659-666 [doi]

PEARL: Enabling Portable, Productive, and High-Performance Deep Reinforcement Learning using Heterogeneous PlatformsYuan Meng, Michael Kinsner, Deshanand P. Singh, Mahesh A. Iyer, Viktor K. Prasanna. cf 2024: [doi]

Accelerating ViT Inference on FPGA through Static and Dynamic PruningDhruv Parikh, Shouyi Li, Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna. fccm 2024: 78-89 [doi]

Heterogeneous Graph Neural Network based on Bandit Sampling for Attribute CompletionTa-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna. icbk 2023: 404-411 [doi]

A Heterogeneous Acceleration System for Attention-Based Multi-Agent Reinforcement LearningSamuel Wiggins, Yuan Meng 0001, Mahesh A. Iyer, Viktor K. Prasanna. fpl 2024: 236-242 [doi]

Accelerating Multi-Agent DDPG Training on Multi-GPU PlatformsSamuel Wiggins, Viktor K. Prasanna. hpec 2024: 1-5 [doi]

Sparse MTTKRP Acceleration for Tensor Decomposition on GPUSasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna. cf 2024: [doi]

Accelerating Sparse MTTKRP for Small Tensor Decomposition on GPU $\mathcal{X}_{(d)}$Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna. acssc 2024: 1900-1905 [doi]

Predictive Performance of Photonic SRAM-Based in-Memory Computing for Tensor DecompositionSasindu Wijeratne, Sugeet Sunder, Md. Abdullah-Al Kaiser, Akhilesh Jaiswal 0001, Clynn Mathew, Ajey P. Jacob, Viktor K. Prasanna. hpec 2024: 1-5 [doi]

Bandwidth Efficient Homomorphic Encrypted Discrete Fourier Transform Acceleration on FPGAZhihan Xu, Yang Yang, Rajgopal Kannan, Viktor K. Prasanna. fccm 2024: 1-12 [doi]

Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU HoursYuxin Yang, Hongkuan Zhou, Rajgopal Kannan, Viktor K. Prasanna. pvldb, 18(4):956-969, December 2024. [doi]

Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based PrefetchingPengmiao Zhang, Neelesh Gupta, Rajgopal Kannan, Viktor K. Prasanna. ipps 2024: 876-888 [doi]

GCV-Turbo: End-to-end Acceleration of GNN-based Computer Vision Tasks on FPGABingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna. fccm 2024: 66-77 [doi]

Accelerating Graph Analytics Using Attention-Based Data PrefetcherPengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna. sncs, 5(5):646, June 2024. [doi]

VisionAGILE: A Versatile Domain-Specific Accelerator for Computer Vision TasksBingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna. tpds, 35(12):2405-2422, December 2024. [doi]

Benchmarking the Performance of Large Language Models on the Cerebras Wafer Scale EngineZuoning Zhang, Dhruv Parikh, Youning Zhang, Viktor K. Prasanna. hpec 2024: 1-7 [doi]

2023

A Framework for Mapping DRL Algorithms With Prioritized Replay Buffer Onto Heterogeneous PlatformsChi Zhang 0022, Yuan Meng, Viktor K. Prasanna. tpds, 34(6):1816-1829, June 2023. [doi]

FPGA Acceleration of Rotation in Homomorphic Encryption Using Dynamic Data LayoutYang Yang 0111, Weihang Long, Rajgopal Kannan, Viktor K. Prasanna. fpl 2023: 174-181 [doi]

Exploiting On-Chip Heterogeneity of Versal Architecture for GNN Inference AccelerationPaul Chen, Pavan Manjunath, Sasindu Wijeratne, Bingyi Zhang, Viktor K. Prasanna. fpl 2023: 219-227 [doi]

Behind-the-Meter Solar Generation Disaggregation at Varying Aggregation Levels Using Consumer Mixture ModelsChung-Ming Cheung, Sanmukh Rao Kuppannagari, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna. tsusc, 8(1):43-55, January - March 2023. [doi]

Benchmarking Deep Learning Classifiers for SAR Automatic Target RecognitionJacob Fein-Ashley, Tian Ye 0002, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart. hpec 2023: 1-6 [doi]

G-MAP: A Graph Neural Network-Based Framework for Memory Access PredictionAbhiram Rao Gorle, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna. hpec 2023: 1-7 [doi]

PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction ModelsNeelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna. hpec 2023: 1-7 [doi]

Parallel Peeling of Bipartite Networks for Hierarchical Dense Subgraph DiscoveryKartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna. topc, 10(2), June 2023. [doi]

HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous ArchitectureYi-Chien Lin, Viktor K. Prasanna. ipps 2023: 557-567 [doi]

A Framework for Graph Machine Learning on Heterogeneous ArchitectureYi-Chien Lin, Viktor K. Prasanna. fccm 2023: 245-246 [doi]

ME- ViT: A Single-Load Memory-Efficient FPGA Accelerator for Vision TransformersKyle Marino, Pengmiao Zhang, Viktor K. Prasanna. hipc 2023: 213-223 [doi]

A Framework for Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform via on-chip Dynamic Tree ManagementYuan Meng, Rajgopal Kannan, Viktor K. Prasanna. fpga 2023: 235-245 [doi]

Accelerating Deep Neural Network guided MCTS using Adaptive ParallelismYuan Meng, Qian Wang, Tianxin Zu, Viktor K. Prasanna. sc 2023: 766-769 [doi]

Training Heterogeneous Graph Neural Networks using Bandit SamplingTa-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna. CIKM 2023: 4345-4349 [doi]

Accelerating Multi-Agent DDPG on CPU-FPGA Heterogeneous PlatformSamuel Wiggins, Yuan Meng 0001, Rajgopal Kannan, Viktor K. Prasanna. hpec 2023: 1-7 [doi]

Characterizing Speed Performance of Multi-Agent Reinforcement LearningSamuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna. data 2023: 327-334 [doi]

Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPUSasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna. sbac-pad 2023: 23-33 [doi]

Accelerating Sparse MTTKRP for Tensor Decomposition on FPGASasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna. fpga 2023: 259-269 [doi]

Dynasparse: Accelerating GNN Inference through Dynamic Sparsity ExploitationBingyi Zhang, Viktor K. Prasanna. ipps 2023: 233-244 [doi]

Phases, Modalities, Spatial and Temporal Locality: Domain Specific ML Prefetcher for Accelerating Graph AnalyticsPengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna. sc 2023: [doi]

GraphAGILE: An FPGA-Based Overlay Accelerator for Low-Latency GNN InferenceBingyi Zhang, Hanqing Zeng, Viktor K. Prasanna. tpds, 34(9):2580-2597, September 2023. [doi]

HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNNHongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna. infocom 2023: 1-10 [doi]

DistTGL: Distributed Memory-Based Temporal Graph Neural Network TrainingHongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna. sc 2023: [doi]

2022

29th Reconfigurable Architectures Workshop (RAW 2022)Jürgen Becker 0001, Lana Josipovic, Viktor K. Prasanna, Marco D. Santambrogio, Ramachandran Vaidyanathan. ipps 2022: 65-66 [doi]

Safe Building HVAC Control via Batch Reinforcement LearningChi Zhang 0022, Sanmukh Rao Kuppannagari, Viktor K. Prasanna. tsusc, 7(4):923-934, 2022. [doi]

Bandwidth Efficient Homomorphic Encrypted Matrix Vector Multiplication Accelerator on FPGAYang Yang 0111, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna. fpt 2022: 1-9 [doi]

NTTGen: a framework for generating low latency NTT implementations on FPGAYang Yang 0111, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna. cf 2022: 30-39 [doi]

FPGA Accelerator for Homomorphic Encrypted Sparse Convolutional Neural Network InferenceYang Yang 0111, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna. fccm 2022: 1-9 [doi]

Introduction to Special Issue on FPGAs in Data CentersKen Eguro, Stephen Neuendorffer, Viktor K. Prasanna, Hongbo Rong. trets, 15(2), 2022. [doi]

Introduction to Special Issue on FPGAs in Data Centers, Part IIKen Eguro, Stephen Neuendorffer, Viktor K. Prasanna, Hongbo Rong. trets, 15(3), 2022. [doi]

Intelligent Communication over Realistic Wireless Networks in Multi-Agent Cooperative GamesDiyi Hu, Chi Zhang 0022, Viktor K. Prasanna, Bhaskar Krishnamachari. atal 2022: 1627-1629 [doi]

Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement LearningDiyi Hu, Chi Zhang, Viktor K. Prasanna, Bhaskar Krishnamachari. acml 2022: 467-482 [doi]

Hypersort: High-performance Parallel Sorting on HBM-enabled FPGASoundarya Jayaraman, Bingyi Zhang, Viktor K. Prasanna. fpt 2022: 1-11 [doi]

Accelerating Prefix Scan with in-network computing on Intel PIUMAKartik Lakhotia, Fabrizio Petrini, Rajopgal Kannan, Viktor K. Prasanna. hipc 2022: 59-68 [doi]

Accelerating Allreduce With In-Network Reduction on Intel PIUMAKartik Lakhotia, Fabrizio Petrini, Rajgopal Kannan, Viktor K. Prasanna. micro, 42(2):44-52, 2022. [doi]

Accelerating GNN Training on CPU+Multi-FPGA Heterogeneous PlatformYi-Chien Lin, Bingyi Zhang, Viktor K. Prasanna. carla 2022: 16-30 [doi]

HP-GNN: Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous PlatformYi-Chien Lin, Bingyi Zhang, Viktor K. Prasanna. fpga 2022: 123-133 [doi]

End to End Framework for CNN Acceleration on FPGAs with Dynamic Algorithm MappingHaomei Liu, Yuan Meng, Sanmukh Rao Kuppannagari, Viktor K. Prasanna. ic3 2022: 696-700 [doi]

Accelerator Design and Exploration for Deformable Convolution NetworksYuan Meng, Hongjiang Men, Viktor K. Prasanna. sips 2022: 1-6 [doi]

Accelerating Deformable Convolution NetworksYuan Meng, Hongjiang Men, Viktor K. Prasanna. fccm 2022: 1 [doi]

FPGA acceleration of deep reinforcement learning using on-chip replay managementYuan Meng, Chi Zhang 0022, Viktor K. Prasanna. cf 2022: 40-48 [doi]

Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous PlatformYuan Meng, Rajgopal Kannan, Viktor K. Prasanna. fpl 2022: 176-182 [doi]

PPOAccel: A High-Throughput Acceleration Framework for Proximal Policy OptimizationYuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna. tpds, 33(9):2066-2078, 2022. [doi]

Computational Models for Cascades in Massive GraphsAjitesh Srivastava, Charalampos Chelmis, Viktor K. Prasanna. In David A. Bader, editor, Massive Graph Analytics. pages 377-395, Chapman and Hall/CRC, 2022. [doi]

Throughput optimization in heterogeneous MIMO networks: a GNN-based approachTa-Yang Wang, Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna. conext 2022: 42-47 [doi]

Towards Programmable Memory Controller for Tensor DecompositionSasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna. data 2022: 468-475 [doi]

Performance Modeling Sparse MTTKRP Using Optical Static Random Access Memory on FPGASasindu Wijeratne, Akhilesh R. Jaiswal, Ajey P. Jacob, Bingyi Zhang, Viktor K. Prasanna. hpec 2022: 1-7 [doi]

FPGA Acceleration of Fully Homomorphic Encryption over the TorusTian Ye, Rajgopal Kannan, Viktor K. Prasanna. hpec 2022: 1-7 [doi]

End-to-End Acceleration of Homomorphic Encrypted CNN Inference on FPGAsTian Ye, Rajgopal Kannan, Viktor K. Prasanna. fpga 2022: 51 [doi]

Estimating the Impact of Communication Schemes for Distributed Graph ProcessingTian Ye, Sanmukh R. Kuppannagari, César A. F. De Rose, Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna. ispdc 2022: 49-56 [doi]

Input Feature Pruning for Accelerating GNN Inference on Heterogeneous PlatformsJason Yik, Sanmukh R. Kuppannagari, Hanqing Zeng, Viktor K. Prasanna. hipc 2022: 282-291 [doi]

Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous PlatformBingyi Zhang, Hanqing Zeng, Viktor K. Prasanna. hipc 2022: 11-21 [doi]

Fine-grained address segmentation for attention-based variable-degree prefetchingPengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna. cf 2022: 103-112 [doi]

Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGABingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart. fpl 2022: 1-8 [doi]

ReSemble: Reinforced Ensemble Framework for Data PrefetchingPengmiao Zhang, Rajgopal Kannan, Ajitesh Srivastava, Anant V. Nori, Viktor K. Prasanna. sc 2022: 1-14 [doi]

DecGNN: A Framework for Mapping Decoupled GNN Models onto CPU-FPGA Heterogeneous PlatformBingyi Zhang, Hanqing Zeng, Viktor K. Prasanna. fpga 2022: 154 [doi]

SHARP: Software Hint-Assisted Memory Access Prediction for Graph AnalyticsPengmiao Zhang, Rajgopal Kannan, Xiangzhi Tong, Anant V. Nori, Viktor K. Prasanna. hpec 2022: 1-8 [doi]

A2P: Attention-based Memory Access Prediction for Graph AnalyticsPengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna. data 2022: 135-145 [doi]

C-MemMAP: clustering-driven compact, adaptable, and generalizable meta-LSTM models for memory access predictionPengmiao Zhang, Ajitesh Srivastava, Ta-Yang Wang, César A. F. De Rose, Rajgopal Kannan, Viktor K. Prasanna. ijdsa, 13(1):3-16, 2022. [doi]

Modeling the Energy Efficiency of GEMM using Optical Random Access MemoryBingyi Zhang, Akhilesh R. Jaiswal, Clynn Mathew, Ravi Teja Lakkireddy, Ajey P. Jacob, Sasindu Wijeratne, Viktor K. Prasanna. hpec 2022: 1-7 [doi]

Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGAHongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl Busart. ipps 2022: 1108-1117 [doi]

All Publications

Filter by Year

[-]
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Tag

[+]
OR AND NOT 1

Filter by Venue

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1

Researchr

Publications by 'Viktor K. Prasanna'

Viewing Publication 1 - 100 from 783

2025

2024

2023

2022

All Publications

Filter by Year [-]OR AND NOT 1

Filter by TypeOR AND NOT 1

Filter by Tag [+]OR AND NOT 1

Filter by Venue [+]OR AND NOT 1

Filter by Author [+]OR AND NOT 1

Filter by Top Terms [+]OR AND NOT 1

Researchr

Publications by 'Viktor K. Prasanna'

Viewing Publication 1 - 100 from 783

2025

2024

2023

2022

Filter by Year

[-]
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Tag

[+]
OR AND NOT 1

Filter by Venue

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1