arXiv cs.LG
· Papers
Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer
arXiv:2505.14303v3 Announce Type: replace-cross Abstract: Using Resistive Random Access Memory (RRAM) crossbars in Computing-in-Memory (CIM) architectures offers a promising solution to overcome the von Neumann bottleneck. Due to non-idealities like cell variability, RRAM crossbars are often operated in binary mode, ut