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IEEE Computer Architecture Letters
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Fault-Tolerant Vertical Link Design for Effective 3D Stacking

Authors: Carles Hernández 0001; Antoni Roca 0001; José Flich; Federico Silla; José Duato;

Fault-Tolerant Vertical Link Design for Effective 3D Stacking

Abstract

[EN] Recently, 3D stacking has been proposed to alleviate the memory bandwidth limitation arising in chip multiprocessors (CMPs). As the number of integrated cores in the chip increases the access to external memory becomes the bottleneck, thus demanding larger memory amounts inside the chip. The most accepted solution to implement vertical links between stacked dies is by using Through Silicon Vias (TSVs). However, TSVs are exposed to misalignment and random defects compromising the yield of the manufactured 3D chip. A common solution to this problem is by over-provisioning, thus impacting on area and cost. In this paper, we propose a fault-tolerant vertical link design. With its adoption, fault-tolerant vertical links can be implemented in a 3D chip design at low cost without the need of adding redundant TSVs (no over-provision). Preliminary results are very promising as the fault-tolerant vertical link design increases switch area only by 6.69% while the achieved interconnect yield tends to 100%.

This work was supported by the Spanish MEC and MICINN, as well as European Comission FEDER funds, under Grants CSD2006-00046 and TIN2009-14475-C04. It was also partly supported by the project NaNoC (project label 248972) which is funded by the European Commission within the Research Programme FP7.

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Keywords

ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES, 3D Stacking, Fault Tolerance, NoC

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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