1 / 9

Regular Expression Acceleration at Multiple Tens of Gb/s

Regular Expression Acceleration at Multiple Tens of Gb/s. Author: Jan van Lunteren , Jon Rohrer, Kubilay Atasu , Christoph Hagleitner Publisher: ICS,2009 Presenter: Jia-Wei,You Date : 2012/5/2. Introduction.

scot
Download Presentation

Regular Expression Acceleration at Multiple Tens of Gb/s

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Regular Expression Acceleration at Multiple Tens of Gb/s Author: Jan van Lunteren, Jon Rohrer, KubilayAtasu, ChristophHagleitner Publisher: ICS,2009 Presenter:Jia-Wei,You Date:2012/5/2

  2. Introduction • Our approach is based on a novel type of programmable state machine in hardware, called BaRT-based Finite State Machine (B-FSM) • The key focus is on improving the storage efficiency.

  3. Transition Rules

  4. Transition Rule Table • a hash index is derived by the address generator from the current state and input value based on the mask stored in the mask register according to (1). • Transition rules involving a wildcard condition for the current state, such as rules R0 and R1 in Fig. 1(b), will be handled differently for storage-efficiency reasons, and are stored in the so-called “default rule table”.

  5. Transition Rule Selection Current state: S0 : 00h , S1 : 02h , S2 : 01h S3 : 10h , S4 :04h Mask: S2(0000010b) S3(0010000b) S1 and S4(0000000b)

  6. B-FSM

  7. Pattern matching engine

  8. Experimental result

  9. Performance • Xilinx Virtex-4 • B-FSM implementation based on six Block RAMsproviding a total storage capacity of about 13 KB : four Block RAMs (9 KB) were used for the transition-rule memory, one Block RAM for a combined implementation of the (ASCII-based) character classifier and the default rule table. • 16 B-FSMs ran at 125MHz, consuming 33% of available Block RAM. • 1Gb/s for each B-FSM.

More Related