Data Matching Engine for Efficient Big Data Searching Systems Using a RRAM Based Novel Computing Paradigm

For the first time, we propose and demonstrate an efficient data matching engine using a novel computing paradigm based on resistance switching computing in RRAM crossbar array. In the engine, in-memory logic operations, such as NAND, XOR and multi-input AND, are in-situ executed by RRAM crossbar array to perform the matching operation. Leveraging the reduced data movement and computing steps, together with parallel computing, RRAM-based data searching system achieves 1600 times less runtime and 6.1 times better energy consumption performance than a GPU-based solution.