Abstract
This paper makes the case for perturbation-based computational model as a promising choice for implementing next generation ubiquitous information applications on emerging nanotechnologies. Our argument centers on its suitability for technologies with low manufacturing precision, high defect densities and performance uncertainty. This paper discusses some of the possible advantages and pitfalls of this approach, and associated novel design principles.
This work is supported by the Gigascale Systems Research Center under the ‘Alternative’ Theme.
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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Zykov, A., de Veciana, G. (2009). Using Randomly Assembled Networks for Computation. In: Cheng, M. (eds) Nano-Net. NanoNet 2008. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02427-6_16
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DOI: https://doi.org/10.1007/978-3-642-02427-6_16
Publisher Name: Springer, Berlin, Heidelberg
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