Hamming Distance Tolerant Content-Addressable Memory (HD-CAM) for Approximate Matching Applications
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Abstract (arXiv)
We propose a novel Hamming distance tolerant content-addressable memory (HD-CAM) for energy-efficient in memory approximate matching applications. HD-CAM implements approximate search using matchline charge redistribution rather than its rise or fall time, frequently employed in state of-the-art solutions. HD-CAM was designed in a 65 nm 1.2 V CMOS technology and evaluated through extensive Monte Carlo simulations. Our analysis shows that HD-CAM supports robust operation under significant process variations and changes in the design parameters, enabling a wide range of mismatch threshold (tolerable Hamming distance) levels and pattern lengths. HD-CAM was functionally evaluated for virus DNA classification, which makes HD-CAM suitable for hardware acceleration of genomic surveillance of viral outbreaks such as Covid-19 pandemics.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Nov 2021.
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Citing papers per year: 2023: 1; 2024: 0; 2025: 1.
2 papers.
- 2023ClaPIM: Scalable Sequence CLAssification using Processing-In-Memorycited by 0
- 2025CAMformer: Associative Memory is All You Needcited by 0
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- 2023ClaPIM: Scalable Sequence CLAssification using Processing-In-Memory16 Feb 2023