FracTCAM: Fracturable LUTRAM-Based TCAM Emulation on Xilinx FPGAs

Ali Zahir, Shadan Khan Khattak, Anees Ullah*, Pedro Reviriego, Fahad Bin Muslim, Waleed Ahmad

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

In this brief, we present FracTCAM, an efficient methodology for ternary content addressable memory (TCAM) emulation on Xilinx field-programmable gate arrays (FPGAs) by leveraging primitive architectural resources. The proposed methodology exploits the fracturable nature of lookup table random access memories (LUTRAMs) and built-in slice flip-flops for deeper pipelining. Multiple slices can be combined together to build deeper and wider TCAMs using ANDing operations. This results in TCAM implementations that achieve lower resources utilization, lower delay, and power consumption. A comparison with the existing schemes shows that FracTCAM consistently achieves the best performance per area (PA) and performance per area per watt (PAW).

Original languageEnglish
Article number9217507
Pages (from-to)2726-2730
Number of pages5
JournalIEEE Transactions on Very Large Scale Integration (VLSI) Systems
Volume28
Issue number12
DOIs
Publication statusPublished - 8 Oct 2020
Externally publishedYes

Keywords

  • Field-programmable gate array (FPGA)
  • packet classification
  • partial reconfiguration
  • ternary content addressable memories (TCAMs)

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