| GraphSAINT: Graph Sampling Based Inductive Learning Method H Zeng, H Zhou, A Srivastava, R Kannan, V Prasanna International Conference on Learning Representations (ICLR), 2020 | 1262 | 2020 |
| VTR 8: High-performance CAD and customizable FPGA architecture modelling KE Murray, O Petelin, S Zhong, JM Wang, M Eldafrawy, JP Legault, E Sha, ... ACM Transactions on Reconfigurable Technology and Systems (TRETS) 13 (2), 1-55, 2020 | 281 | 2020 |
| Decoupling the Depth and Scope of Graph Neural Networks H Zeng, M Zhang, Y Xia, A Srivastava, A Malevich, R Kannan, V Prasanna, ... Advances in Neural Information Processing Systems 34, 2021 | 231* | 2021 |
| GraphACT: Accelerating GCN training on CPU-FPGA heterogeneous platforms H Zeng, V Prasanna proceedings of the 2020 ACM/SIGDA international symposium on field …, 2020 | 166 | 2020 |
| A framework for generating high throughput CNN implementations on FPGAs H Zeng, R Chen, C Zhang, V Prasanna Proceedings of the 2018 ACM/SIGDA international symposium on field …, 2018 | 111 | 2018 |
| Accurate, efficient and scalable graph embedding H Zeng, H Zhou, A Srivastava, R Kannan, V Prasanna 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019 | 90 | 2019 |
| Hardware acceleration of large scale GCN inference B Zhang, H Zeng, V Prasanna 2020 IEEE 31st International Conference on Application-specific Systems …, 2020 | 88 | 2020 |
| LLM-Rec: Personalized recommendation via prompting large language models H Lyu, S Jiang, H Zeng, Y Xia, Q Wang, S Zhang, R Chen, C Leung, ... Findings of the Association for Computational Linguistics: NAACL 2024, 2024 | 87 | 2024 |
| Accelerating Large Scale Real-Time GNN Inference using Channel Pruning H Zhou, A Srivastava, H Zeng, R Kannan, V Prasanna Proceedings of the VLDB Endowment, 2021 | 70 | 2021 |
| An FPGA framework for edge-centric graph processing S Zhou, R Kannan, H Zeng, VK Prasanna Proceedings of the 15th ACM International Conference on Computing Frontiers …, 2018 | 62 | 2018 |
| Fast generation of high throughput customized deep learning accelerators on FPGAs H Zeng, C Zhang, V Prasanna 2017 International Conference on ReConFigurable Computing and FPGAs …, 2017 | 33 | 2017 |
| Quickly finding a truss in a haystack O Green, J Fox, E Kim, F Busato, N Bombieri, K Lakhotia, S Zhou, ... 2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2017 | 29 | 2017 |
| Design and implementation of parallel PageRank on multicore platforms S Zhou, K Lakhotia, SG Singapura, H Zeng, R Kannan, VK Prasanna, ... 2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2017 | 29 | 2017 |
| A fast and efficient parallel algorithm for pruned landmark labeling Q Dong, K Lakhotia, H Zeng, R Kannan, V Prasanna, G Seetharaman 2018 IEEE High Performance extreme Computing Conference (HPEC), 1-7, 2018 | 18 | 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 | 17 | 2023 |
| Generative Graph Dictionary Learning Z Zeng, R Zhu, Y Xia, H Zeng, H Tong International Conference on Machine Learning (ICML), 2023 | 15 | 2023 |
| 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 | 14 | 2022 |
| Throughput-optimized frequency domain CNN with fixed-point quantization on FPGA W Sun, H Zeng, YE Yang, V Prasanna 2018 International Conference on ReConFigurable Computing and FPGAs …, 2018 | 14 | 2018 |
| Accelerating large scale GCN inference on FPGA B Zhang, H Zeng, V Prasanna 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom …, 2020 | 13 | 2020 |
| Accurate, efficient and scalable training of Graph Neural Networks H Zeng, H Zhou, A Srivastava, R Kannan, V Prasanna Journal of Parallel and Distributed Computing 147, 166-183, 2021 | 12 | 2021 |
Viktor K. PrasannaUniversity of Southern CaliforniaVerified email at usc.edu
