Abstract
AbstractThis work (DOI: 10.1002/inf2.12416) demonstrates an in‐memory search system based on the self‐selective memristors. First, by utilizing the intrinsic randomness of the memristor conductance, a hardware locality sensitive hashing (LSH) encoder is constructed to map the feature vectors into compact binary code. Subsequently, an ultra‐low‐power 2R ternary content addressable memory is demonstrated, serving as the high parallel distance computing engine. Based on the in‐memory search system, the typical data mining algorithms are demonstrated as the benchmark and the system shows 168 times energy saving comparing with the CPU with the software‐comparable accuracy. image
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