Encoding short ranges in TCAM without expansion: Efficient algorithm and applications

Anat Bremler-Barr, Yotam Harchol, David Hay, Yacov Hel-Or

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We present RENÉ - a novel encoding scheme for short ranges on Ternary content addressable memory (TCAM), which, unlike previous solutions, does not impose row expansion, and uses bits proportionally to the maximal range length. We provide theoretical analysis to show that our encoding is the closest to the lower bound of number of bits used. In addition, we show several applications of our technique in the field of packet classification, and also, how the same technique could be used to efficiently solve other hard problems such as the nearest-neighbor search problem and its variants. We show that using TCAM, one could solve such problems in much higher rates than previously suggested solutions, and outperform known lower bounds in traditional memory models. We show by experiments that the translation process of RENÉ on switch hardware induces only a negligible 2.5% latency overhead. Our nearest neighbor implementation on a TCAM device provides search rates that are up to four orders of magnitude higher than previous best prior-art solutions.

Original languageAmerican English
Title of host publicationSPAA 2016 - Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures
PublisherAssociation for Computing Machinery
Pages35-46
Number of pages12
ISBN (Electronic)9781450342100
DOIs
StatePublished - 11 Jul 2016
Event28th ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2016 - Pacific Grove, United States
Duration: 11 Jul 201613 Jul 2016

Publication series

NameAnnual ACM Symposium on Parallelism in Algorithms and Architectures
Volume11-13-July-2016

Conference

Conference28th ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2016
Country/TerritoryUnited States
CityPacific Grove
Period11/07/1613/07/16

Bibliographical note

Publisher Copyright:
© 2016 ACM.

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