Proceedings of the 5th Conference on Computing Frontiers 2008
DOI: 10.1145/1366230.1366273
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Multi-terabit ip lookup using parallel bidirectional pipelines

Abstract: To meet growing terabit link rates, highly parallel and scalable architectures are needed for IP lookup engines in next generation routers. This paper proposes an SRAM-based multi-pipeline architecture for multi-terabit rate IP lookup. The architecture consists of multiple bidirectional linear pipelines, where each pipeline stores part of a routing table.We address the challenges of realizing such a solution. Two mapping schemes with different granularity are proposed to balance the memory distribution over di… Show more

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Cited by 12 publications
(10 citation statements)
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“…Our recent work [10] further extends the proposed architecture. By replacing the single-port SRAMs with dual-port SRAMs, we allow each pipeline to be traversed from two directions simultaneously.…”
Section: Discussionmentioning
confidence: 77%
“…Our recent work [10] further extends the proposed architecture. By replacing the single-port SRAMs with dual-port SRAMs, we allow each pipeline to be traversed from two directions simultaneously.…”
Section: Discussionmentioning
confidence: 77%
“…Our recent work [10] further extends the proposed architecture. By replacing the single-port SRAMs with dualport SRAMs, we allow each pipeline to be traversed from two directions at the same time.…”
Section: Discussionmentioning
confidence: 77%
“…Such lookups are time critical and should be performed at wire speed. Meeting these tight requirements is extremely difſcult, if not impossible, on software platforms [10]. The kernel function of a router is to perform IP lookup.…”
Section: Introductionmentioning
confidence: 99%
“…Field Programmable Gate Arrays (FPGAs) have become a promising platform for high-speed next generation routers, mainly because of their reconſgurability and abundant parallelism [2], [3], [19]. They are used extensively as a hardware platform for multi-Gigabit packet processing engines [2], [10], [13], [18].…”
Section: Introductionmentioning
confidence: 99%
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