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G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency.

, , , , , and . ICCAD, page 1-9. IEEE, (2021)

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Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search., , , and . CoRR, (2020)O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed., , , , and . ICCAD, page 1-9. IEEE, (2021)ShiftAddNet: A Hardware-Inspired Deep Network., , , , , , , and . NeurIPS, (2020)Percolation on the institute-enterprise R&D collaboration networks., and . CoRR, (2013)GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design., , , , and . HPCA, page 460-474. IEEE, (2022)FCsN: A FPGA-Centric SmartNIC Framework for Neural Networks., , , , , , , , and . FCCM, page 1-2. IEEE, (2022)InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks., , , , , , , , and . DAC, page 757-762. IEEE, (2021)DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures., , , , , and . ICASSP, page 1593-1597. IEEE, (2020)ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design., , , , , , , , and . HPCA, page 273-286. IEEE, (2023)Review of Business Model Innovation., and . ICEME, page 133-137. ACM, (2019)