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HAO: Hardware-aware Neural Architecture Optimization for Efficient Inference., , , , , и . FCCM, стр. 50-59. IEEE, (2021)HAWQV3: Dyadic Neural Network Quantization., , , , , , , , , и 1 other автор(ы). CoRR, (2020)AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs., , , , и . DATE, стр. 490-495. IEEE, (2020)Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs., , , , , , , , , и 1 other автор(ы). CoRR, (2018)Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISC-V SoC on FireSim., , и . EMC2@HPCA/CVPR/ISCA, стр. 21-25. IEEE, (2019)Full Stack Optimization of Transformer Inference: a Survey., , , , , , , , , и 2 other автор(ы). CoRR, (2023)BRU: Bandwidth Regulation Unit for Real-Time Multicore Processors., , и . RTAS, стр. 364-375. IEEE, (2020)DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators., , , , и . MICRO, стр. 209-224. ACM, (2023)Algorithm-hardware Co-design for Deformable Convolution., , , , , , , и . CoRR, (2020)CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs., , , , , , , , и . FPGA, стр. 206-216. ACM, (2021)