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Optimizing Reconfigurable Recurrent Neural Networks.

, , , , , , , и . FCCM, стр. 10-18. IEEE, (2020)

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Fan Zhang

Hua Fan

Fan Dai

Min Fan

Xiaohua Fan

 

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High-Performance FPGA-based Accelerator for Bayesian Recurrent Neural Networks., , , , и . CoRR, (2021)Accelerating Fully Spectral CNNs with Adaptive Activation Functions on FPGA., , и . DATE, стр. 1530-1535. IEEE, (2021)A Real-Time Object Detection Accelerator with Compressed SSDLite on FPGA., , , , , , , и . FPT, стр. 14-21. IEEE, (2018)Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads., , , и . MICRO, стр. 353-366. ACM, (2023)Optimizing Reconfigurable Recurrent Neural Networks., , , , , , , и . FCCM, стр. 10-18. IEEE, (2020)Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator., , , , , , и . ASP-DAC, стр. 250-255. IEEE, (2022)Memory-Efficient Architecture for Accelerating Generative Networks on FPGA., , , , , , , и . FPT, стр. 30-37. IEEE, (2018)A Reconfigurable Multithreaded Accelerator for Recurrent Neural Networks., , , , , , , и . FPT, стр. 20-28. IEEE, (2020)Reconfigurable Acceleration of 3D-CNNs for Human Action Recognition with Block Floating-Point Representation., , , , , и . FPL, стр. 287-294. IEEE Computer Society, (2018)Towards Efficient Deep Neural Network Training by FPGA-Based Batch-Level Parallelism., , , , , и . FCCM, стр. 45-52. IEEE, (2019)