Low power RAM-based hierarchical CAM on FPGA

Z. Qian, M. Margala
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引用次数: 30

Abstract

Content Addressable Memories (CAMs) have been widely used to implement various high speed search functions in network devices such as routers and servers. In these devices, the role of CAM is to classify, drop or forward internet packets (i.e., packet classification). However, CAM suffers from several shortcomings such as high power consumption and low integration density. In addition, CAM is not available in most of modern Field Programmable Gate Array (FPGA), which has broad applications in network infrastructures. Therefore RAM-based CAM emulation has emerged as a promising alternative to CAM not only because RAM is a relatively mature technology but also due to the fact that there are more and larger RAM blocks on modern FPGA. In this paper, we propose a hierarchical search scheme for RAM-based CAM on FPGA. If a match is found in previous blocks, no subsequent search will be triggered and therefore average power consumption is reduced. Comparing with previous works which have not employed this technique, simulation results show that our method could reduce the power consumption up to 11.0% and 9.7% for block RAM based and distributed RAM based implementation respectively.
基于FPGA的低功耗ram分层CAM
内容可寻址存储器(CAMs)已广泛应用于路由器和服务器等网络设备中实现各种高速搜索功能。在这些设备中,CAM的作用是对互联网数据包进行分类、丢弃或转发(即数据包分类)。但是,CAM存在功耗高、集成密度低等缺点。此外,在网络基础设施中有着广泛应用的现代现场可编程门阵列(FPGA)中,大多数都没有CAM。因此,基于RAM的CAM仿真已经成为CAM的一个有前途的替代方案,不仅因为RAM是一种相对成熟的技术,而且由于现代FPGA上有更多更大的RAM块。本文提出了一种基于FPGA的基于ram的CAM分层搜索方案。如果在以前的块中找到匹配,则不会触发后续搜索,因此降低了平均功耗。仿真结果表明,与以往未采用该技术的工作相比,基于块RAM和分布式RAM的实现功耗分别降低了11.0%和9.7%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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