Channel-and-circuits aware, energy-efficient coding for high speed links
Name
216881007-MIT.pdf
Description
Full printable version
Size
7.04 MB
Format
Adobe PDF
Checksum (MD5)
84468296b6559368ea0dc5ad2c1448d1
Author(s)
Lee, Maxine, M. Eng. Massachusetts Institute of Technology
Advisor(s)
Vladimir Stojanovic.
Alternative Title
Energy-efficient coding for high speed links
Date Issued
2006
Publisher
Massachusetts Institute of Technology
Abstract
Throughput and energy-efficiency of high-speed chip-to-chip interconnects present critical bottlenecks in a whole range of important applications, from processor-memory interfaces, to network routers. These links currently rely solely on complex equalization techniques to maintain the bit error rate lower than 10-15. While applicable to data rates up to 10 Gb/s on most links, this approach does not scale well to higher data rates or better energy-efficiency. The work described in the thesis shows that it may be possible to use coding techniques to share the burden of combating errors, while increasing the throughput of the link or improving its energy-efficiency. Since codes here attempt to alleviate the impact of partially correlated sources of error (like reflections interference, crosstalk and jitter), an experimental setup was created for characterization of link channel properties and performance gains from different codes. Four codes, specifically Hamming, BCH, Fire, and SEC-DED codes, are implemented and analyzed with various configurations (i.e. different blocksizes, data rates, and detection or correction). Most significantly, it is discovered that detection and retransmission of even the simple codes implemented in this project may be able to maintain a bit error rate of 10-15.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (leaves 76-77).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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