Author

Wang Kang

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Aug 2026

Hardware-Aware Neural Network Deployment on Multi-Core in-Memory Computing Systems: A Compiler Perspective

Conventional compute-in-memory (CIM) deployment flows usually assume a fixed crossbar geometry, although DNN layers often have different channel counts and matrix shapes. The resulting shape mismatch leaves part of the array capacity unused and can increase the number of split-and-transfer operations during inference....

Kaiwen Deng, Sifan Sun, Hanjie Liu et al. · IEEE Non-Volatile Memory Sys... · 0 citations

#edge computing Sep 2026

HE-FR: A High-Efficiency Fault-Resilient Framework for Stuck-at-Faults Mitigation in ReRAM-Based In-Memory Computing

ReRAM-based in-memory computing (IMC) architectures enable efficient neural-network inference on edge devices, due to their high density and non-volatility. However, ReRAM is prone to the stuck-at faults (SAFs) which would distort weight mappings and reduce model accuracy substantially. To tackle this problem, a high-e...

Junlong Lin, Wenhua Wu, Mingtao Wang et al. · IEEE Transactions on Circuit... · 0 citations