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....