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High-Flexibility Designs of Quantized Runtime Reconfigurable Multi-Precision Multipliers

, , , and . IEEE Embedded Systems Letters, 15 (4): 194-197 (2023)
DOI: 10.1109/LES.2023.3298736

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High-Flexibility Designs of Quantized Runtime Reconfigurable Multi-Precision Multipliers, , , and . IEEE Embedded Systems Letters, 15 (4): 194-197 (2023)NetPU-M: a Generic Reconfigurable Neural Network Accelerator Architecture for MLPs, , , and . 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), page 85-92. (2023)