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Accelet: Hardware-software Co-design of Chiplet-based DNN Accelerators
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作者 SU ZHENG, The Chinese University of Hong Kong BE| YU, The Chinese University of Hong Kong MARTIN D.F.WONG, Hong Kong Baptist University 摘要 The rapid growth of deep neural network (DNN) applications has brought unprecedented challenges tothe functionality and scalability of accelerators. To address these challenges, the multi-chip-module (MCM)approach facilitates the efficient and cost-effective development of accelerator architectures that can scalefrom mobile devices to data centers. Chiplet-based systems necessitate a robust platform capable of supportingboth hardware modeling and software evaluation, since the performance of the entire system is not onlydetermined by the design of functional units and interconnects, but also strongly affected by the schedulingand mapping of the dataflow, |
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(2025-6-4)