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Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA.

, , , и . CoRR, (2021)

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Liu Liu

Liu Liu

Liu Liu

Dongmei Liu

Yinghao Liu

 

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Efficient Accelerator/Network Co-Search With Circular Greedy Reinforcement Learning., , и . IEEE Trans. Circuits Syst. II Express Briefs, 70 (7): 2615-2619 (июля 2023)$A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks., , , , , , , и . ICLR, OpenReview.net, (2023)MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization., , , , , , , и . HPCA, стр. 124-138. IEEE, (2024)Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA., , , и . CoRR, (2021)Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA., , , и . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (5): 1436-1447 (2022)Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations., , , , и . DATE, стр. 971-974. IEEE, (2020)EBERT: Efficient BERT Inference with Dynamic Structured Pruning., , , и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 4814-4823. Association for Computational Linguistics, (2021)A2Q: Aggregation-Aware Quantization for Graph Neural Networks., , , , , , , и . CoRR, (2023)MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization., , , , , , , и . CoRR, (2023)TBERT: Dynamic BERT Inference with Top-k Based Predictors., , и . DATE, стр. 1-6. IEEE, (2023)