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LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference.

, , , and . IEEE Trans. Computers, 69 (12): 1795-1808 (2020)

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Enabling Binary Neural Network Training on the Edge., , , , , , , and . CoRR, (2021)Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference., , , , , and . CoRR, (2021)Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference., , , , , and . FPGA, page 101-111. ACM, (2022)LUTNet: Rethinking Inference in FPGA Soft Logic., , , and . FCCM, page 26-34. IEEE, (2019)Hotel recommendation algorithms based on online reviews and probabilistic linguistic term sets., , , , and . Expert Syst. Appl., (2022)Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks., , , , , , and . CoRR, (2021)Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going., , , , , , , and . ACM Comput. Surv., 52 (2): 40:1-40:39 (2019)基于泛函网络的软件可靠性多模型综合预测方法 (Multi-model Synthesis Prediction of Software Reliability Based on Functional Networks)., and . 计算机科学, 42 (10): 175-179 (2015)A PYNQ-Based Framework for Rapid CNN Prototyping., , and . FCCM, page 223. IEEE Computer Society, (2018)LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference., , , and . IEEE Trans. Computers, 69 (12): 1795-1808 (2020)