Thesis
Transient error resilience in network-on-chip communication fabrics
Washington State University
Master of Science (MS), Washington State University
2007
Handle:
https://hdl.handle.net/2376/101254
Abstract
Network on chip (NoC) is emerging as a revolutionary methodology to integrate numerous Intellectual Property (IP) blocks in a single System-on-Chip (SoC). Only an extensively communication centric paradigm like NoC can ensure seamless integration of such a large number of cores. A major challenge that NoC design is expected to face is related to the intrinsic unreliability of the communication infrastructure under technology limitations. As the separation between the wires is reducing rapidly, any signal transition in a wire affects more than one neighbor. This phenomenon is commonly referred to as the crosstalk effect. Crosstalk is one of the sources of transient errors. Among other sources of transient noise, factors like electromagnetic interference, alpha particle hits, cosmic radiation, etc. can be enumerated. To protect the NoC architectures against all these varied sources of noise an embedded selfcorrecting design methodology and its corresponding circuit implementation in the NoC communication fabrics is proposed. This embedded intelligence will be achieved through simple joint crosstalk avoidance and error correction coding schemes. In this work many existing crosstalk avoidance coding schemes and joint crosstalk avoidance and single error correction coding schemes are implemented in a NoC interconnect architecture and are evaluated in terms of performance and gains in energy savings. Finally a novel joint crosstalk avoidance and double error correction scheme is developed. The performance of this novel code is compared with the other existing codes and is shown to deliver a higher savings in energy dissipation compared to the joint single error correction codes.
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Details
- Title
- Transient error resilience in network-on-chip communication fabrics
- Creators
- Amlan Ganguly
- Contributors
- Partha Pratim Pande (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; Pullman, Wash. :
- Identifiers
- 99900525276801842
- Language
- English
- Resource Type
- Thesis