用于联想处理的新一代内容可寻址存储器

H. G. Lewis, Paul Giambalov
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引用次数: 0

摘要

内容可寻址存储器(CAMS)存储键和关联数据。当一个密钥被搜索时,它被呈现给CAN,所有的地址被并行扫描以找到该密钥引用的地址。当匹配发生时,将返回相应的关联。随着电信分组交换协议、大型数据库服务器、路由器和搜索引擎的爆炸式发展,新一代密集亚微米高吞吐量CAMS已经被开发出来。本文简要介绍了CAMS的历史和教程,介绍了CAMS的许多用途和优点,并描述了MUSIC半导体CAM器件的结构和功能。在本文的后续部分中,我们将讨论使用关联处理来适应传感器分辨率的持续增加,光谱带数量,所需覆盖范围,实现实时目标提示的愿望,以及侦察和监视无人机(uav)最佳性能所需的数据流和图像处理。为了具有竞争力,系统设计者必须提供最大的计算能力,每瓦,每美元,每立方英寸,在成本有效的无人机环境控制系统的边界内。为了解决这些问题,我们展示了利用DARPA和国防部资助的商用现货技术,将基于CAM的关联处理集成到无人机和其他重量、体积和功率预算有限的平台的实时异构多处理系统中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New generation of content addressable memories for associative processing
Content addressable memories (CAMS) store both key and association data. A key is presented to the CAN when it is searched and all of the addresses are scanned in parallel to find the address referenced by the key. When a match occurs, the corresponding association is returned. With the explosion of telecommunications packet switching protocols, large data base servers, routers and search engines a new generation of dense sub-micron high throughput CAMS has been developed. The introduction of this paper presents a brief history and tutorial on CAMS, their many uses and advantages, and describes the architecture and functionality of several of MUSIC Semiconductors CAM devices. In subsequent sections of the paper we address using Associative Processing to accommodate the continued increase in sensor resolution, number of spectral bands, required coverage, the desire to implement real-time target cueing, and the data flow and image processing required for optimum performance of reconnaissance and surveillance Unmanned Aerial Vehicles (UAVs). To be competitive the system designer must provide the most computational power, per watt, per dollar, per cubic inch, within the boundaries of cost effective UAV environmental control systems. To address these problems we demonstrate leveraging DARPA and DoD funded Commercial Off-the-Shelf technology to integrate CAM based Associative Processing into a real-time heterogenous multiprocessing system for UAVs and other platforms with limited weight, volume and power budgets.
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