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A low-overhead fault tolerance scheme for TSV-based 3D network on chip links
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International Conference on Computer Aided Design archive
Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design table of contents
San Jose, California
SESSION: Alternative circuit fabrics table of contents
Pages: 598-602  
Year of Publication: 2008
ISBN ~ ISSN:1092-3152 , 978-1-4244-2820-5
Authors
Igor Loi  University of Bologna, Bologna, Italy
Subhasish Mitra  Stanford University, California
Thomas H. Lee  Stanford University, California
Shinobu Fujita  Toshiba, San Jose, CA
Luca Benini  University of Bologna, Bologna, Italy
Sponsors
: IEEE CASS/CANDE
: IEEE Council on Electronic Design Automation (CEDA)
SIGDA: ACM Special Interest Group on Design Automation
Publisher
IEEE Press  Piscataway, NJ, USA
Bibliometrics
Downloads (6 Weeks): 40,   Downloads (12 Months): 196,   Citation Count: 2
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abstract   references   cited by   collaborative colleagues  

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ABSTRACT

Three-dimensional die stacking integration provides the ability to stack multiple layers of processed silicon with a large number of vertical interconnects. Through Silicon Vias (TSVs) provide a promising area- and power-efficient way to support communication between different stack layers. Unfortunately, low TSV yield significantly impacts design of three-dimensional die stacks with a large number of TSVs. This paper presents a defecttolerance technique for TSVs-based multi-bit links through an efficient and effective use of redundancy. This technique is ideally suited for three-dimensional network-on-chip (NoC) links. Simulation results demonstrate significant yield improvement, from 66% to 98%, with a low area cost (17% on a vertical link in a NoC switch, which leads a modest 2.1% increase the total switch area) in 130nm technology, with minimal impact of VLSI design and test flows.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Igor Loi: colleagues
Subhasish Mitra: colleagues
Thomas H. Lee: colleagues
Shinobu Fujita: colleagues
Luca Benini: colleagues