| FlowGNN: A dataflow architecture for real-time workload-agnostic graph neural network inference R Sarkar, S Abi-Karam, Y He, L Sathidevi, C Hao 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023 | 37 | 2023 |
| GenGNN: A generic FPGA framework for graph neural network acceleration S Abi-Karam, Y He, R Sarkar, L Sathidevi, Z Qiao, C Hao arXiv preprint arXiv:2201.08475, 2022 | 17 | 2022 |
| Flowgnn: A dataflow architecture for universal graph neural network inference via multi-queue streaming R Sarkar, S Abi-Karam, Y He, L Sathidevi, C Hao arXiv preprint arXiv:2204.13103, 2022 | 11 | 2022 |
| SCGraph: Accelerating Sample-based GNN Training by Staged Caching of Features on GPUs Y He, Z Lai, Z Ran, L Zhang, D Li 2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2022 | 1 | 2022 |
| Accelerating Sample-based GNN Training by Feature Caching on GPUs Y He, Z Lai, Z Ran, L Zhang, D Li 2022 IEEE 7th International Conference on Smart Cloud (SmartCloud), 163-164, 2022 | 1 | 2022 |
