从GPU到FPGA:快速高效内存NDN名称查找的流水线分层方法

Yanbiao Li, Dafang Zhang, Xian Yu, Jing Long, W. Liang
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引用次数: 1

摘要

只提供摘要形式。命名数据网络(NDN)是一种新兴的未来互联网架构,具有可选的通信范式。对于NDN来说,名称查找就像TCP/IP的IP地址查找一样,在转发中起着重要的作用。然而,对NDN名称执行最长前缀匹配(LPM)更具挑战性。最近,图形处理单元(gpu)已被证明在支持线速名称查找方面很有价值,但是批处理和传输名称所导致的延迟并不是那么令人鼓舞。另一方面,在IP地址查找领域,FPGA被广泛用于实现基于静态随机存取存储器(SRAM)的管道,以实现快速查找和可控延迟。因此,在本文中,我们研究了如何使用基于fpga的管道来加速NDN名称查找。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From GPU to FPGA: A Pipelined Hierarchical Approach to Fast and Memory-Efficient NDN Name Lookup
Summary form only given. Named Data Networking (NDN) is an emerging future Internet architecture with an alternative communication paradigm. For NDN, name lookup, just like IP address lookup for TCP/IP, plays an important role in forwarding. However, performing Longest Prefix Matching (LPM) to NDN names is more challenging. Recently, Graphic Processing Units (GPUs) have been shown to be of value in supporting wire speed name lookup, but the latency resulted by batching and transferring names is not so encouraging. On the other hand, in the area of IP address lookup, FPGA is widely used to implement Static Radom Accessing Memory (SRAM)-based pipeline for fast lookup and controllable latency. Thus, in this paper, we study how to accelerate NDN name lookup using FPGA-based pipeline.
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