A Timing Complementary 2T1R Analog Content-Addressable Memory Design for Multimodal Medical Diagnosis

In the field of medical diagnosis, how to identify medical condition efficiently and give an accurate diagnosis on the edge is crucial for patient treatment. The memristor-based analog content-addressable memory (ACAM) emerges as a highly parallel accelerator for template matching technology. This study proposes a novel timing complementary 2T1R ACAM design for multimodal medical diagnosis that significantly reduces operational energy and area. The simulation results show that such design could achieve 2 ns matching speed and 34.2 fJ energy consumption per unit, while simultaneously reducing the area by 33% compared to the state-of-the-art design. Besides, a multimodal medical diagnosis task is demonstrated on a simulated ACAM array with a suitable configuration of design parameters.