| Hardware acceleration of large scale GCN inference B Zhang, H Zeng, V Prasanna 2020 IEEE 31st International Conference on Application-specific Systems …, 2020 | 78 | 2020 |
| BoostGCN: A framework for optimizing GCN inference on FPGA B Zhang, R Kannan, V Prasanna 2021 IEEE 29th Annual International Symposium on Field-Programmable Custom …, 2021 | 69 | 2021 |
| Hp-gnn: Generating high throughput gnn training implementation on cpu-fpga heterogeneous platform YC Lin, B Zhang, V Prasanna Proceedings of the 2022 ACM/SIGDA International Symposium on Field …, 2022 | 38 | 2022 |
| Model-architecture co-design for high performance temporal gnn inference on fpga H Zhou, B Zhang, R Kannan, V Prasanna, C Busart 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022 | 24 | 2022 |
| A skeleton-based action recognition system for medical condition detection J Yin, J Han, C Wang, B Zhang, X Zeng 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2019 | 21 | 2019 |
| Gcn inference acceleration using high-level synthesis YC Lin, B Zhang, V Prasanna 2021 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2021 | 16 | 2021 |
| A real-time and hardware-efficient processor for skeleton-based action recognition with lightweight convolutional neural network B Zhang, J Han, Z Huang, J Yang, X Zeng IEEE Transactions on Circuits and Systems II: Express Briefs 66 (12), 2052-2056, 2019 | 15 | 2019 |
| Low-latency mini-batch gnn inference on cpu-fpga heterogeneous platform B Zhang, H Zeng, V Prasanna 2022 IEEE 29th International Conference on High Performance Computing, Data …, 2022 | 13 | 2022 |
| Efficient neighbor-sampling-based gnn training on cpu-fpga heterogeneous platform B Zhang, SR Kuppannagari, R Kannan, V Prasanna 2021 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2021 | 13 | 2021 |
| Accurate, low-latency, efficient sar automatic target recognition on fpga B Zhang, R Kannan, V Prasanna, C Busart 2022 32nd International Conference on Field-Programmable Logic and …, 2022 | 11 | 2022 |
| Accelerating large scale GCN inference on FPGA B Zhang, H Zeng, V Prasanna 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom …, 2020 | 10 | 2020 |
| MiniTracker: a lightweight CNN-based system for visual object tracking on embedded device B Zhang, X Li, J Han, X Zeng 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 1-5, 2018 | 10 | 2018 |
| GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference B Zhang, H Zeng, V Prasanna IEEE Transactions on Parallel and Distributed Systems, 2023 | 9 | 2023 |
| Accelerating GNN training on cpu multi-FPGA heterogeneous platform YC Lin, B Zhang, V Prasanna Latin American High Performance Computing Conference, 16-30, 2022 | 7 | 2022 |
| HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform YC Lin, B Zhang, V Prasanna IEEE Transactions on Parallel and Distributed Systems, 2024 | 5 | 2024 |
| Dynasparse: Accelerating GNN Inference through Dynamic Sparsity Exploitation B Zhang, V Prasanna 2023 International Parallel and Distributed Processing Symposium (IPDPS 2023), 2023 | 4 | 2023 |
| A single graph convolution is all you need: Efficient grayscale image classification J Fein-Ashley, T Ye, S Wickramasinghe, B Zhang, R Kannan, V Prasanna arXiv preprint arXiv:2402.00564, 2024 | 3 | 2024 |
| Exploiting on-chip heterogeneity of versal architecture for GNN inference acceleration P Chen, P Manjunath, S Wijeratne, B Zhang, V Prasanna 2023 33rd International Conference on Field-Programmable Logic and …, 2023 | 3 | 2023 |
| Graph Neural Network for Accurate and Low-complexity SAR ATR B Zhang, S Wijeratne, R Kannan, V Prasanna, C Busart The Fifteenth International Conference on Advanced Geographic Information …, 2023 | 3 | 2023 |
| Hypersort: High-performance Parallel Sorting on HBM-enabled FPGA S Jayaraman, B Zhang, V Prasanna 2022 International Conference on Field-Programmable Technology (ICFPT), 1-11, 2022 | 3 | 2022 |
Viktor K. PrasannaUniversity of Southern California在 usc.edu 的电子邮件经过验证
