research-article

Energy-efficient non-volatile TCAM search engine design using priority-decision in memory technology for DPI

Authors:

Hsiang-Jen Tsai,

Chien-Chen Lin,

Meng-Fan Chang,

Tien-Fu ChenAuthors Info & Claims

DAC '15: Proceedings of the 52nd Annual Design Automation Conference

Article No.: 100, Pages 1 - 6

https://doi.org/10.1145/2744769.2744836

Published: 07 June 2015 Publication History

Abstract

TCAM-based search engines are widely used in regular expression matching across multiple packets. However, the use of priority encoder results in increased energy consumption of pattern updates and search operations. This work, proposes a promising memory technology, called Priority-Decision in Memory (PDM), which eliminates the need for priority encoders and removes restrictions on ordering, meaning that patterns can be stored in an arbitrary order without sorting their lengths. Moreover, we present a Sequential Input-State Search (SIS) scheme to disable the mass of redundant search operations in state segments, based on the analysis distribution of hex signatures in a virus database. Experimental results demonstrate that PDM-based technology can improve update energy consumption of nvTCAM search engines by 36%~67% because most of the energy in the latter is used to reorder. By adopting the SIS-based method to avoid unnecessarily search operations in a TCAM array, the search energy reduction is around 64% of nvTCAM search engines.

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Cited By

Hung JJhang CWu PChiu YChang M(2021)Challenges and Trends of Nonvolatile In-Memory-Computation Circuits for AI Edge DevicesIEEE Open Journal of the Solid-State Circuits Society10.1109/OJSSCS.2021.31232871(171-183)Online publication date: 2021
https://doi.org/10.1109/OJSSCS.2021.3123287
Hung JLi XWu JChang M(2020)Challenges and Trends inDeveloping Nonvolatile Memory-Enabled Computing Chips for Intelligent Edge DevicesIEEE Transactions on Electron Devices10.1109/TED.2020.297611567:4(1444-1453)Online publication date: Apr-2020
https://doi.org/10.1109/TED.2020.2976115
Xue CZhao WYang TChen YYamauchi HChang M(2019)A 28-nm 320-Kb TCAM Macro Using Split-Controlled Single-Load 14T Cell and Triple-Margin Voltage Sense AmplifierIEEE Journal of Solid-State Circuits10.1109/JSSC.2019.291557754:10(2743-2753)Online publication date: Oct-2019
https://doi.org/10.1109/JSSC.2019.2915577
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Index Terms

Energy-efficient non-volatile TCAM search engine design using priority-decision in memory technology for DPI
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems
2. Hardware
  1. Emerging technologies
  2. Integrated circuits
    1. Semiconductor memory

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cover image ACM Conferences

DAC '15: Proceedings of the 52nd Annual Design Automation Conference

June 2015

1204 pages

ISBN:9781450335201

DOI:10.1145/2744769

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

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Published: 07 June 2015

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DAC '15: The 52nd Annual Design Automation Conference 2015

June 7 - 11, 2015

California, San Francisco

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Overall Acceptance Rate 1,770 of 5,499 submissions, 32%

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Cited By

Hung JJhang CWu PChiu YChang M(2021)Challenges and Trends of Nonvolatile In-Memory-Computation Circuits for AI Edge DevicesIEEE Open Journal of the Solid-State Circuits Society10.1109/OJSSCS.2021.31232871(171-183)Online publication date: 2021
https://doi.org/10.1109/OJSSCS.2021.3123287
Hung JLi XWu JChang M(2020)Challenges and Trends inDeveloping Nonvolatile Memory-Enabled Computing Chips for Intelligent Edge DevicesIEEE Transactions on Electron Devices10.1109/TED.2020.297611567:4(1444-1453)Online publication date: Apr-2020
https://doi.org/10.1109/TED.2020.2976115
Xue CZhao WYang TChen YYamauchi HChang M(2019)A 28-nm 320-Kb TCAM Macro Using Split-Controlled Single-Load 14T Cell and Triple-Margin Voltage Sense AmplifierIEEE Journal of Solid-State Circuits10.1109/JSSC.2019.291557754:10(2743-2753)Online publication date: Oct-2019
https://doi.org/10.1109/JSSC.2019.2915577
Ding XZhang ZJia ZJu LZhao MHuang H(2017)Unified nvTCAM and sTCAM architecture for improving packet matching performanceACM SIGPLAN Notices10.1145/3140582.308103452:5(91-100)Online publication date: 21-Jun-2017
https://dl.acm.org/doi/10.1145/3140582.3081034
Ding XZhang ZJia ZJu LZhao MHuang HNagarajan VShao Z(2017)Unified nvTCAM and sTCAM architecture for improving packet matching performanceProceedings of the 18th ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems10.1145/3078633.3081034(91-100)Online publication date: 21-Jun-2017
https://dl.acm.org/doi/10.1145/3078633.3081034
Tsai HChen CPeng YTsao YChiang YZhao WChang MChen T(2017)A Flexible Wildcard-Pattern Matching Accelerator via Simultaneous Discrete Finite AutomataIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2017.267140825:12(3302-3316)Online publication date: Dec-2017
https://doi.org/10.1109/TVLSI.2017.2671408
Tsai HYang KPeng YLin CTsao YChang MChen T(2017)Energy-Efficient TCAM Search Engine Design Using Priority-Decision in Memory TechnologyIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2016.262499025:3(962-973)Online publication date: Mar-2017
https://doi.org/10.1109/TVLSI.2016.2624990
He XJiang SLu WYan GHan YLi X(2017)Exploiting the Potential of Computation Reuse Through Approximate ComputingIEEE Transactions on Multi-Scale Computing Systems10.1109/TMSCS.2016.26173433:3(152-165)Online publication date: 1-Jul-2017
https://doi.org/10.1109/TMSCS.2016.2617343
He XYan GSun FHan YLi X(2017)ApproxEye: Enabling approximate computation reuse for microrobotic computer vision2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC)10.1109/ASPDAC.2017.7858356(402-407)Online publication date: Jan-2017
https://doi.org/10.1109/ASPDAC.2017.7858356
Chen TLee DLiu TWu A(2016)Dynamic Reconfigurable Ternary Content Addressable Memory for OpenFlow-Compliant Low-Power Packet ProcessingIEEE Transactions on Circuits and Systems I: Regular Papers10.1109/TCSI.2016.258465863:10(1661-1672)Online publication date: Oct-2016
https://doi.org/10.1109/TCSI.2016.2584658
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