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An Efficient Reconfigurable Framework for General Purpose CNN-RNN Models on FPGAs., , , , , , , and . DSP, page 1-5. IEEE, (2018)INCAME: Interruptible CNN Accelerator for Multirobot Exploration., , , , , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (4): 964-978 (2022)Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud., , , , , , , and . FPGA, page 317. ACM, (2020)A Survey of FPGA Based Neural Network Accelerator., , , , and . CoRR, (2017)FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning., , , , , , , , , and 3 other author(s). ASPLOS (3), page 349-366. ACM, (2024)3M-AI: A Multi-task and Multi-core Virtualization Framework for Multi-FPGA AI Systems in the Cloud., , , , , , , , , and 1 other author(s). FPGA, page 228. ACM, (2021)DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search., , , , , , , , , and 1 other author(s). MICRO, page 283-296. ACM, (2023)Reliability-Aware Training and Performance Modeling for Processing-In-Memory Systems., , , , , , and . ASP-DAC, page 847-852. ACM, (2021)NTGAT: A Graph Attention Network Accelerator with Runtime Node Tailoring., , , , , and . ASP-DAC, page 645-650. ACM, (2023)Soft Error Tolerant Convolutional Neural Networks on FPGAs With Ensemble Learning., , , , , , , , and . IEEE Trans. Very Large Scale Integr. Syst., 30 (3): 291-302 (2022)