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FCNNLib: An Efficient and Flexible Convolution Algorithm Library on FPGAs.

, , , and . DAC, page 1-6. IEEE, (2020)

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Enabling high performance deep learning networks on embedded systems., , and . IECON, page 8405-8410. IEEE, (2017)FCNNLib: An Efficient and Flexible Convolution Algorithm Library on FPGAs., , , and . DAC, page 1-6. IEEE, (2020)Fune: An FPGA Tuning Framework for CNN Acceleration., and . IEEE Des. Test, 37 (1): 46-55 (2020)Towards Agile DNN Accelerator Design Using Incremental Synthesis on FPGAs., and . FPGA, page 42-48. ACM, (2022)HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation., , , , , and . ISCA, page 1055-1068. IEEE, (2021)Exploring Heterogeneous Algorithms for Accelerating Deep Convolutional Neural Networks on FPGAs., , , , and . DAC, page 62:1-62:6. ACM, (2017)Evaluating Fast Algorithms for Convolutional Neural Networks on FPGAs., , , and . FCCM, page 101-108. IEEE Computer Society, (2017)Zac: Towards Automatic Optimization and Deployment of Quantized Deep Neural Networks on Embedded Devices., and . ICCAD, page 1-6. ACM, (2019)Evaluating Fast Algorithms for Convolutional Neural Networks on FPGAs., , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 39 (4): 857-870 (2020)FCNNLib: A Flexible Convolution Algorithm Library for Deep Learning on FPGAs., , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (8): 2546-2559 (2022)