SIFMap: Parallel CNN Inference Using Sub-Input-Feature Maps in PIM
Processing-in-memory (PIM) accelerators perform in-situ dot-product operations between input feature maps (IFMs) and convolutional neural network (CNN) weights to accelerate inference. The efficiency of these computations is heavily influenced by the weight mapping strategy. However, existing approaches often adopt IFM...