Hamming Distance Tolerant Content-Addressable Memory (HD-CAM) for DNA Classification

This paper proposes a novel Hamming distance tolerant content-addressable memory (HD-CAM) for energy-efficient in-memory approximate matching applications. HD-CAM exploits NOR-type based static associative bitcells, where we add circuitry to enable search with programmable tolerance. implements using matchline charge redistribution rather than its rise or fall time, frequently employed in state-of-the-art solutions. was designed 65 $\mathrm { \text {n} {m} }$ 1.2 {V}}$ CMOS technology and evaluated through extensive Monte Carlo simulations. Our analysis shows that supports robust operation under significant process variations changes the design parameters, enabling wide range of mismatch threshold (tolerable distance) levels pattern lengths. functionally virus DNA classification, which makes suitable hardware acceleration genomic surveillance viral outbreaks, such as Covid-19 pandemics.