Viktor K. Prasanna
University of Southern California
H-index: 80
North America-United States
Top articles of Viktor K. Prasanna
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
GCV-Turbo: End-to-end Acceleration of GNN-based Computer Vision Tasks on FPGA | arXiv preprint arXiv:2404.07188 | Bingyi Zhang Rajgopal Kannan Carl Busart Viktor Prasanna | 2024/4/10 |
Accelerating ViT Inference on FPGA through Static and Dynamic Pruning | arXiv preprint arXiv:2403.14047 | Dhruv Parikh Shouyi Li Bingyi Zhang Rajgopal Kannan Carl Busart | 2024/3/21 |
VTR: An Optimized Vision Transformer for SAR ATR Acceleration on FPGA | arXiv preprint arXiv:2404.04527 | Sachini Wickramasinghe Dhruv Parikh Bingyi Zhang Rajgopal Kannan Viktor Prasanna | 2024/4/6 |
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform | IEEE Transactions on Parallel and Distributed Systems | Yi-Chien Lin Bingyi Zhang Viktor Prasanna | 2024/2/28 |
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification | arXiv preprint arXiv:2404.03225 | Xu Wang Tian Ye Rajgopal Kannan Viktor Prasanna | 2024/4/4 |
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning | arXiv preprint arXiv:2402.05396 | Gangda Deng Hongkuan Zhou Hanqing Zeng Yinglong Xia Christopher Leung | 2024/2/8 |
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks | arXiv preprint arXiv:2403.18318 | Tian Ye Rajgopal Kannan Viktor Prasanna Carl Busart | 2024/3/27 |
Argo: An auto-tuning runtime system for scalable gnn training on multi-core processor | arXiv preprint arXiv:2402.03671 | Yi-Chien Lin Yuyang Chen Sameh Gobriel Nilesh Jain Gopi Krishna Jha | 2024/2/6 |
A unified CPU-GPU protocol for GNN training | arXiv preprint arXiv:2403.17092 | Yi-Chien Lin Gangda Deng Viktor Prasanna | 2024/3/25 |
A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification | arXiv preprint arXiv:2402.00564 | Jacob Fein-Ashley Tian Ye Sachini Wickramasinghe Bingyi Zhang Rajgopal Kannan | 2024/2/1 |
Graph neural network for accurate and low-complexity sar atr | arXiv preprint arXiv:2305.07119 | Bingyi Zhang Sasindu Wijeratne Rajgopal Kannan Viktor Prasanna Carl Busart | 2023/5/11 |
Evaluating multi-agent reinforcement learning on heterogeneous platforms | Samuel Wiggins Yuan Meng Rajgopal Kannan Viktor Prasanna | 2023/6/12 | |
Graphagile: An fpga-based overlay accelerator for low-latency gnn inference | IEEE Transactions on Parallel and Distributed Systems | Bingyi Zhang Hanqing Zeng Viktor Prasanna | 2023/2/2 |
Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition | Jacob Fein-Ashley Tian Ye Rajgopal Kannan Viktor Prasanna Carl Busart | 2023/9/25 | |
Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU | Sasindu Wijeratne Rajgopal Kannan Viktor Prasanna | 2023/10/17 | |
Accelerating Deep Neural Network guided MCTS using Adaptive Parallelism | Yuan Meng Qian Wang Tianxin Zu Viktor Prasanna | 2023/11/12 | |
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching | arXiv preprint arXiv:2401.06362 | Pengmiao Zhang Neelesh Gupta Rajgopal Kannan Viktor K Prasanna | 2023/12/23 |
A Framework for Graph Machine Learning on Heterogeneous Architecture | Yi-Chien Lin Viktor Prasanna | 2023/5/8 | |
HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN | Hongkuan Zhou Rajgopal Kannan Ananthram Swami Viktor Prasanna | 2023/5/17 | |
Parallel peeling of bipartite networks for hierarchical dense subgraph discovery | ACM Transactions on Parallel Computing | Kartik Lakhotia Rajgopal Kannan Viktor Prasanna | 2023/6/20 |
