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Energy-Efficient Precharge-Free Ternary Content Addressable Memory (TCAM) for High Search Rate Applications

机译:节能预充高三元内容可寻址存储器(TCAM),用于高搜索率应用

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Hardware search engines (HSEs) have been drawing significant attention in replacing software search algorithms in order to speed up location access and data association in modern systems. Content addressable memory (CAM) is one of the promising HSEs due to its parallel search accessibility. However, it is subjected to considerable dissipation which becomes severe while accessing many components including cells and associated matchlines (MLs) during every search. Ternary CAM (TCAM) based routing tables, especially employed in network systems for packet classification, has put a challenge to design energy-efficient architectures with high-performance and reliable look-up operation. Precharge-free CAM schemes are preferred solutions over precharge types to accomplish high-speed as well as low-power goals of associative memory design. In order to overcome the drawbacks of precharge based designs and also to improve performance during the search, we introduce a precharge-free ternary content addressable memory (PF-TCAM). The proposed searching approach enhances the rate of search by reducing half of the ML evaluation time as it eliminates precharge phase prior to every search by performing search in HALF clock cycle. A 32 x 16-bit proposed macro is designed using 45-nm CMOS technology and post-layout simulations at 1 V supply shows 56% and 63% energy efficiency improvements compared to conventional TCAM and compact TCAM respectively over 25 different search keys despite increasing evaluation speed by 50% with an area overhead of 1 transistor/cell over compact TCAM.
机译:硬件搜索引擎(HSE)在替换软件搜索算法中一直在提高重大关注,以便加速现代系统中的位置访问和数据关联。内容可寻址存储器(CAM)是由于其并行搜索可访问性导致的承诺HSE之一。然而,它受到相当大的耗散,这在每次搜索期间访问包括细胞和相关的Matchlines(MLS)的许多组件时变得严重。基于Ternary CAM(TCAM)的路由表,尤其用于数据包分类的网络系统,对设计节能架构进行了高性能和可靠的查找操作,对设计节能架构进行了挑战。预充电的CAM方案是预充电类型的优选解决方案,以实现高速以及关联内存设计的低功耗目标。为了克服基于预充电的设计的缺点以及在搜索过程中提高性能,我们引入了一个预充电的三元内容可寻址存储器(PF-TCAM)。所提出的搜索方法通过减少ML评估时间的一半来增强搜索速率,因为它在通过在半时钟周期中执行搜索之前消除预充电阶段。使用45 nm CMOS技术设计了32×16位提出的宏,并在1 V电源的后布局模拟显示56%和63%的能效改善,而传统的TCAM和Compact TCAM分别超过25种不同的搜索键,尽管评估增加速度为50%,在紧凑的TCAM上具有1个晶体管/单元的区域开销。

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