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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Heeyeol Yu |
| Copyright Year | 2010 |
| Description | Author affiliation: Computer Science & Engineering Department, University of California, Riverside, USA (Heeyeol Yu) |
| Abstract | Ternary content addressable memories (TCAMs) are becoming very popular due to the simple-to-design IP lookup units included in high-speed routers; they are fast and simple to manage, and they provide a one-clock lookup solution. However, a major drawback of TCAM-based IP lookup schemes lies in their high power consumption. Thus, the rapid increase of routing tables inevitably deteriorates TCAM power efficiency. Although on-chip TCAM minimizers aim for the TCAM power efficiency in a fast time and at a small memory amount, the minimizers are not efficient in a large scale prefix table. In this paper, we present a hash-based on-chip TCAM minimization for a power-and throughput-efficient IP lookup. In a hash-based TCAM minimization (HTM), we convert prefixes into keys and merge keys with a fast hash lookup in an O(nW) complexity, where n is the number of prefixes and W is the number of IP bits. Additionally, by building a forest of merging trees and choosing a subset among them, we can achieve a higher minimization ratio. The simulation with two routing tables shows that our HPM scheme uses 8.6 and 4.0 times fewer computation time and memory, compared to a contemporary on-chip minimizer. |
| Starting Page | 926 |
| Ending Page | 931 |
| File Size | 163183 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424470549 |
| ISSN | 15301591 |
| e-ISBN | 9783981080162 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-03-08 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | European Design Automation Association (EDAA) |
| Subject Keyword | Logic Energy consumption Costs Minimization methods Routing Associative memory Hardware Random access memory Transistors Workstations |
| Content Type | Text |
| Resource Type | Article |
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