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Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs., , , , , , , , , and 1 other author(s). CoRR, (2018)Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISC-V SoC on FireSim., , and . EMC2@HPCA/CVPR/ISCA, page 21-25. IEEE, (2019)CoDeNet: Algorithm-hardware Co-design for Deformable Convolution., , , , , , , and . CoRR, (2020)HAWQV3: Dyadic Neural Network Quantization., , , , , , , , , and 1 other author(s). CoRR, (2020)The Effect of Compiler Optimizations on High-Level Synthesis-Generated Hardware., , , , , , , and . ACM Trans. Reconfigurable Technol. Syst., 8 (3): 14:1-14:26 (2015)ProTuner: Tuning Programs with Monte Carlo Tree Search., , , , , , and . CoRR, (2020)HAO: Hardware-aware Neural Architecture Optimization for Efficient Inference., , , , , and . FCCM, page 50-59. IEEE, (2021)AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs., , , , and . DATE, page 490-495. IEEE, (2020)Algorithm-hardware Co-design for Deformable Convolution., , , , , , , and . CoRR, (2020)CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs., , , , , , , , and . FPGA, page 206-216. ACM, (2021)