Viktor K. Prasanna

ORCID

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 279

Top Venues

CoRR

HPEC

FPGA

IEEE Trans. Parallel Distributed Syst.

Publications

Neelesh Gupta, Narayanan Kannan, Pengmiao Zhang, Viktor K. Prasanna
TabConv: Low-Computation CNN Inference via Table Lookups. CoRR (2024)
Yi-Chien Lin, Yuyang Chen, Sameh Gobriel, Nilesh Jain, Gopi Krishna Jha, Viktor K. Prasanna
ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core Processor. CoRR (2024)
Sasindu Wijeratne, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
PAHD: Perception-Action based Human Decision Making using Explainable Graph Neural Networks on SAR Images. CoRR (2024)
Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna
GCV-Turbo: End-to-end Acceleration of GNN-based Computer Vision Tasks on FPGA. CoRR (2024)
Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan, Viktor K. Prasanna
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching. IPDPS (2024)
Yuan Meng, Michael Kinsner, Deshanand P. Singh, Mahesh A. Iyer, Viktor K. Prasanna
PEARL: Enabling Portable, Productive, and High-Performance Deep Reinforcement Learning using Heterogeneous Platforms. CF (2024)
Yi-Chien Lin, Yuyang Chen, Sameh Gobriel, Nilesh Jain, Gopi Krishna Jha, Viktor K. Prasanna
ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core Processor. IPDPS (2024)
Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
Sparse MTTKRP Acceleration for Tensor Decomposition on GPU. CoRR (2024)
Neelesh Gupta, Narayanan Kannan, Pengmiao Zhang, Viktor K. Prasanna
TabConv: Low-Computation CNN Inference via Table Lookups. CF (2024)
Yi-Chien Lin, Gangda Deng, Viktor K. Prasanna
A Unified CPU-GPU Protocol for GNN Training. CF (2024)
Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. IPDPS (2024)
Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
Sparse MTTKRP Acceleration for Tensor Decomposition on GPU. CF (2024)
Jürgen Becker, Zhenman Fang, Viktor K. Prasanna, Marco D. Santambrogio, Ramachandran Vaidyanathan
31st Reconfigurable Architectures Workshop (RAW 2024). IPDPS (Workshops) (2024)
Sachini Wickramasinghe, Dhruv Parikh, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
VTR: An Optimized Vision Transformer for SAR ATR Acceleration on FPGA. CoRR (2024)
Jacob Fein-Ashley, Tian Ye, Sachini Wickramasinghe, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna
A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification. CoRR (2024)
Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. CoRR (2024)
Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan, Viktor K. Prasanna
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching. CoRR (2024)
Xu Wang, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification. CoRR (2024)
Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models. CoRR (2024)
Yi-Chien Lin, Bingyi Zhang, Viktor K. Prasanna
HitGNN: High-Throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform. IEEE Trans. Parallel Distributed Syst. 35 (5) (2024)
Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna
Accelerating Graph Analytics Using Attention-Based Data Prefetcher. SN Comput. Sci. 5 (5) (2024)
Dhruv Parikh, Shouyi Li, Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna
Accelerating ViT Inference on FPGA through Static and Dynamic Pruning. CoRR (2024)
Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks. CoRR (2024)
Yi-Chien Lin, Gangda Deng, Viktor K. Prasanna
A Unified CPU-GPU Protocol for GNN Training. CoRR (2024)
Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU. SBAC-PAD (2023)
Samuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna
Characterizing Speed Performance of Multi-Agent Reinforcement Learning. DATA (2023)
Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna
HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN. INFOCOM (2023)
Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference. CoRR (2023)
Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition. HPEC (2023)
Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna
GraphAGILE: An FPGA-Based Overlay Accelerator for Low-Latency GNN Inference. IEEE Trans. Parallel Distributed Syst. 34 (9) (2023)
Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU. CoRR (2023)
Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna
Accelerating Sparse MTTKRP for Tensor Decomposition on FPGA. FPGA (2023)
Samuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna
Accelerating Multi-Agent DDPG on CPU-FPGA Heterogeneous Platform. HPEC (2023)
Yuan Meng, Qian Wang, Tianxin Zu, Viktor K. Prasanna
Accelerating Deep Neural Network guided MCTS using Adaptive Parallelism. SC Workshops (2023)
Yi-Chien Lin, Bingyi Zhang, Viktor K. Prasanna
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform. CoRR (2023)
Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna
A Framework for Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform via on-chip Dynamic Tree Management. FPGA (2023)
Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
Phases, Modalities, Spatial and Temporal Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics. SC (2023)
Yue Niu, Rajgopal Kannan, Ajitesh Srivastava, Viktor K. Prasanna
Reuse Kernels or Activations? A Flexible Dataflow for Low-latency Spectral CNN Acceleration. CoRR (2023)
Yuan Meng, Qian Wang, Tianxin Zu, Viktor K. Prasanna
Accelerating Deep Neural Network guided MCTS using Adaptive Parallelism. CoRR (2023)
Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models. HPEC (2023)
Bingyi Zhang, Viktor K. Prasanna
Dynasparse: Accelerating GNN Inference through Dynamic Sparsity Exploitation. CoRR (2023)
Yi-Chien Lin, Viktor K. Prasanna
HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous Architecture. IPDPS (2023)
Gangda Deng, Ömer Faruk Akgül, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Jianbo Li, Viktor K. Prasanna
An Efficient Distributed Graph Engine for Deep Learning on Graphs. SC Workshops (2023)
Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna
Parallel Peeling of Bipartite Networks for Hierarchical Dense Subgraph Discovery. ACM Trans. Parallel Comput. 10 (2) (2023)
Yi-Chien Lin, Viktor K. Prasanna
HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous Architecture. CoRR (2023)
Paul Chen, Pavan Manjunath, Sasindu Wijeratne, Bingyi Zhang, Viktor K. Prasanna
Exploiting On-chip Heterogeneity of Versal Architecture for GNN Inference Acceleration. CoRR (2023)
Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA. CoRR (2023)
Abhiram Rao Gorle, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
G-MAP: A Graph Neural Network-Based Framework for Memory Access Prediction. HPEC (2023)
Chi Zhang, Yuan Meng, Viktor K. Prasanna
A Framework for Mapping DRL Algorithms With Prioritized Replay Buffer Onto Heterogeneous Platforms. IEEE Trans. Parallel Distributed Syst. 34 (6) (2023)
Bingyi Zhang, Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Graph Neural Network for Accurate and Low-complexity SAR ATR. CoRR (2023)
Samuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna
Characterizing Speed Performance of Multi-Agent Reinforcement Learning. CoRR (2023)
Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. CoRR (2023)
Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart, Lance M. Kaplan
Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers. CoRR (2023)
Yi-Chien Lin, Viktor K. Prasanna
A Framework for Graph Machine Learning on Heterogeneous Architecture. FCCM (2023)
Yang Yang, Weihang Long, Rajgopal Kannan, Viktor K. Prasanna
FPGA Acceleration of Rotation in Homomorphic Encryption Using Dynamic Data Layout. FPL (2023)
Yuan Meng, Michael Kinsner, Deshanand P. Singh, Mahesh A Iyer, Viktor K. Prasanna
A Software-Hardware Co-Optimized Toolkit for Deep Reinforcement Learning on Heterogeneous Platforms. CoRR (2023)
Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition. CoRR (2023)
Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. SC (2023)
Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna
Training Heterogeneous Graph Neural Networks using Bandit Sampling. CIKM (2023)
Paul Chen, Pavan Manjunath, Sasindu Wijeratne, Bingyi Zhang, Viktor K. Prasanna
Exploiting On-Chip Heterogeneity of Versal Architecture for GNN Inference Acceleration. FPL (2023)
Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna
HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN. CoRR (2023)
Bingyi Zhang, Viktor K. Prasanna
Dynasparse: Accelerating GNN Inference through Dynamic Sparsity Exploitation. IPDPS (2023)
Dhruv Parikh, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Performance of Graph Neural Networks for Point Cloud Applications. HPEC (2023)
Dhruv Parikh, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Performance of Graph Neural Networks for Point Cloud Applications. CoRR (2023)
Chung Ming Cheung, Sanmukh Rao Kuppannagari, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
Behind-the-Meter Solar Generation Disaggregation at Varying Aggregation Levels Using Consumer Mixture Models. IEEE Trans. Sustain. Comput. 8 (1) (2023)
Kyle Marino, Pengmiao Zhang, Viktor K. Prasanna
ME- ViT: A Single-Load Memory-Efficient FPGA Accelerator for Vision Transformers. HiPC (2023)
Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Accelerating GNN-Based SAR Automatic Target Recognition on HBM-Enabled FPGA. HPEC (2023)
Jason Yik, Sanmukh R. Kuppannagari, Hanqing Zeng, Viktor K. Prasanna
Input Feature Pruning for Accelerating GNN Inference on Heterogeneous Platforms. HIPC (2022)
Yi-Chien Lin, Bingyi Zhang, Viktor K. Prasanna
Accelerating GNN Training on CPU+Multi-FPGA Heterogeneous Platform. CARLA (2022)
Sasindu Wijeratne, Akhilesh R. Jaiswal, Ajey P. Jacob, Bingyi Zhang, Viktor K. Prasanna
Performance Modeling Sparse MTTKRP Using Optical Static Random Access Memory on FPGA. HPEC (2022)
Diyi Hu, Chi Zhang, Viktor K. Prasanna, Bhaskar Krishnamachari
Intelligent Communication over Realistic Wireless Networks in Multi-Agent Cooperative Games. AAMAS (2022)
Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K. Prasanna
Safe Building HVAC Control via Batch Reinforcement Learning. IEEE Trans. Sustain. Comput. 7 (4) (2022)
Hongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA. IPDPS (2022)
Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform. HIPC (2022)
Pengmiao Zhang, Rajgopal Kannan, Xiangzhi Tong, Anant V. Nori, Viktor K. Prasanna
SHARP: Software Hint-Assisted Memory Access Prediction for Graph Analytics. HPEC (2022)
Haomei Liu, Yuan Meng, Sanmukh Rao Kuppannagari, Viktor K. Prasanna
End to End Framework for CNN Acceleration on FPGAs with Dynamic Algorithm Mapping. IC3 (2022)
Ta-Yang Wang, Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna
Throughput optimization in heterogeneous MIMO networks: a GNN-based approach. GNNet@CoNEXT (2022)
Pengmiao Zhang, Rajgopal Kannan, Ajitesh Srivastava, Anant V. Nori, Viktor K. Prasanna
ReSemble: Reinforced Ensemble Framework for Data Prefetching. SC (2022)
Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna
Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform. CoRR (2022)
Yi-Chien Lin, Bingyi Zhang, Viktor K. Prasanna
HP-GNN: Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous Platform. FPGA (2022)
Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna
Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform. FPL (2022)
Tian Ye, Rajgopal Kannan, Viktor K. Prasanna
FPGA Acceleration of Fully Homomorphic Encryption over the Torus. HPEC (2022)
Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna
Towards Programmable Memory Controller for Tensor Decomposition. CoRR (2022)
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
Fine-Grained Address Segmentation for Attention-Based Variable-Degree Prefetching. CoRR (2022)
Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware. CoRR (2022)
Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna
A2P: Attention-based Memory Access Prediction for Graph Analytics. DATA (2022)
Soundarya Jayaraman, Bingyi Zhang, Viktor K. Prasanna
Hypersort: High-performance Parallel Sorting on HBM-enabled FPGA. FPT (2022)
Bingyi Zhang, Akhilesh R. Jaiswal, Clynn Mathew, Ravi Teja Lakkireddy, Ajey P. Jacob, Sasindu Wijeratne, Viktor K. Prasanna
Modeling the Energy Efficiency of GEMM using Optical Random Access Memory. HPEC (2022)
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
Fine-grained address segmentation for attention-based variable-degree prefetching. CF (2022)
Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna
Towards Programmable Memory Controller for Tensor Decomposition. DATA (2022)
Jürgen Becker, Lana Josipovic, Viktor K. Prasanna, Marco D. Santambrogio, Ramachandran Vaidyanathan
29th Reconfigurable Architectures Workshop (RAW 2022). IPDPS Workshops (2022)
Yuan Meng, Hongjiang Men, Viktor K. Prasanna
Accelerator Design and Exploration for Deformable Convolution Networks. SiPS (2022)
Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
NTTGen: a framework for generating low latency NTT implementations on FPGA. CF (2022)
Kartik Lakhotia, Fabrizio Petrini, Rajopgal Kannan, Viktor K. Prasanna
Accelerating Prefix Scan with in-network computing on Intel PIUMA. HIPC (2022)
Kartik Lakhotia, Fabrizio Petrini, Rajgopal Kannan, Viktor K. Prasanna
Accelerating Allreduce With In-Network Reduction on Intel PIUMA. IEEE Micro 42 (2) (2022)
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
Decoupling the Depth and Scope of Graph Neural Networks. CoRR (2022)
Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
Bandwidth Efficient Homomorphic Encrypted Matrix Vector Multiplication Accelerator on FPGA. FPT (2022)
Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform. CoRR (2022)
Yuan Meng, Chi Zhang, Viktor K. Prasanna
FPGA acceleration of deep reinforcement learning using on-chip replay management. CF (2022)
Yuan Meng, Hongjiang Men, Viktor K. Prasanna
Accelerating Deformable Convolution Networks. FCCM (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Viktor K. Prasanna