MATHEMATICAL MODELS FOR DISTRIBUTED STORAGE AND PROCESSING OF HIGH-DIMENSIONAL DATAWITH A HIGH DEGREE OF FAULT-TOLERANCE


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Abstract

The paper presents mathematical models for distributed storage and processing of high-dimensional data. The models presented are based on the threshold schemes and provide a high degree of fault-tolerance. Presented parallel algorithms use modular arithmetic to reach noticeable speed-up as compared to equivalent serial schemes, what makes the proposed algorithms suitable for large-scale real-time systems. Implementation possibilities are also discussed with the focus on NM6403 neuroprocessor

About the authors

O S Mezentseva

A I Alekseev

References

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Copyright (c) 2010 Mezentseva O.S., Alekseev A.I.

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