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News/Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer
arxiv
PublishedJuly 16, 2026 at 4:00 AM
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Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer

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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 operate

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