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.
翻译:我们建议为记忆中近似匹配应用的节能应用而采用新型的耐用远距离耐用内容处理存储器(HD-CAM);HD-CAM采用匹配电量再分配而不是其上升或下降时间进行近似搜索,经常用于最先进的解决办法;HD-CAM设计为65纳米1.2VCMOS技术,并通过广泛的蒙特卡洛模拟来进行评估;我们的分析表明,HD-CAM支持在重大过程变异和设计参数变化下开展稳健的运作,使各种不匹配阈值(耐受的哈明距离)和模式长度得以实现;HD-CAM在功能上对病毒DNA分类进行了评估,从而使HD-CAM适合于加速对诸如Covid-19流行病等病毒爆发的基因监测。