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CAM puzzle: A power model and function-based circuit segment method of Content Addressable Memory

机译:CAM拼图:内容可寻址存储器的一种基于功率模型和基于功能的电路分段方法

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Content Addressable Memory (CAM) is a data storage device, utilizing the Static Random Access Memory (SRAM) cell. CAMs are very popular especially implemented in network routers for IP address lookup, packet forwarding and packet classifications. Up to now, there are many types of CAM to conform to these different implementations. For the purpose to estimate the efficiency and power distribution of all types of CAM, doing preliminary simulation is needed before doing concrete circuit layout. Therefore, a speedy and accurate power analysis method is necessary. Besides, the simulation time of nowadays circuit simulation tool like HSPICE is considerable, especially for high frequency data storage circuits like CAMs. This work established a brand new power model of CAM which is called CAM Puzzle (CAMP), combining the petty models which are extracted from SPICE simulation, simplified into easily analytical power expressions in order to analyse the conventional CAM and pre-computation based content addressable memory (PB-CAM). In addition, this work also estimates the power consumption of CAM peripheral circuits such as address decoder circuit and data I/O. Using CAMP, the power consumption of complete CAM architecture can be estimated with 82% model accuracy and 94% system accuracy compared to SPICE simulation in 0.18µm process.
机译:内容可寻址存储器(CAM)是一种数据存储设备,利用静态随机存取存储器(SRAM)单元。 CAM非常流行,尤其是在网络路由器中实现IP地址查找,数据包转发和数据包分类。到目前为止,有许多类型的CAM符合这些不同的实现。为了估算所有类型CAM的效率和功率分配,需要在进行具体电路布局之前进行初步仿真。因此,需要一种快速而准确的功率分析方法。此外,当今的电路仿真工具(如HSPICE)的仿真时间非常可观,尤其是对于CAM等高频数据存储电路而言。这项工作建立了一个全新的CAM功效模型,称为CAM Puzzle(CAMP),将从SPICE仿真中提取的小模型进行了组合,简化为易于分析的功效表达式,以便分析常规CAM和基于预计算的可寻址内容内存(PB-CAM)。此外,这项工作还估算了诸如地址解码器电路和数据I / O之类的CAM外围电路的功耗。与0.18μm工艺中的SPICE仿真相比,使用CAMP可以估算出完整CAM体系结构的功耗,模型精度为82%,系统精度为94%。

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