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Multiple-level concatenated coding in embryonics: a dependability analysis
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Source Genetic And Evolutionary Computation Conference archive
Proceedings of the 2005 conference on Genetic and evolutionary computation table of contents
Washington DC, USA
SESSION: Evolutionary hardware table of contents
Pages: 941 - 948  
Year of Publication: 2005
ISBN:1-59593-010-8
Authors
Lucian Prodan  "Politehnica" University, Timisoara TM, Romania
Mihai Udrescu  "Politehnica" University, Timisoara TM, Romania
Mircea Vladutiu  "Politehnica" University, Timisoara TM, Romania
Sponsors
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Computing machines require the highest possible dependability in order to provide accurate functionality in aggressive, critical environments. For this purpose, the Embryonics (for embryonic electronics) project explores Nature's structural redundancy mechanisms in digital electronics. It offers a hierarchically reconfigurable framework [4][5][18], whose effectiveness was assessed only for some particular cases [8]. Following the introduction of specialized memory structures [10][13], this paper proposes a more thorough reliability analysis, inspired by fault-tolerant quantum computing theory. After adopting the accuracy threshold measure as the main parameter for our qualitative evaluation, the concepts and implementation details about concatenated coding are presented. This technique, also inspired from reliable quantum computing, seems particularly well suited for the multiple-level architecture in Embryonics and allows preserving arbitrary long fault-tolerant computation.


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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Mange, D. and Tomassini, M. eds. Bio-Inspired Computing Machines: Towards Novel Computational Architectures. Presses Polytechniques et Universitaires Romandes, Lausanne, Switzerland, 1998.
 
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Mange, D., Sipper, M., Stauffer, A., Tempesti, G. Toward Robust Integrated Circuits: The Embryonics Approach. In Proc. IEEE, vol. 88, No. 4, April 2000, pp. 516--541.
 
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Preskill, J. Fault Tolerant Quantum Computation. In H.K. Lo, S. Popescu and T.P. Spiller, eds. Introduction to Quantum Computation, World Scientific Publishing Co., 1998.
 
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Prodan, L., Udrescu, M., Vladutiu, M. Self-Repairing Embryonic Memory Arrays. Proc. IEEE NASA/DoD Conference on Evolvable Hardware, Seattle WA, 2004, 130--137.
 
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Spector, L. Automatic Quantum Computer Programming: A Genetic Programming Approach. Kluwer Academic Publishers, Boston MA, 2004.
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Udrescu, M., Prodan, L., Vladutiu, M.. A New Perspective in Simulating Quantum Circuits. Proc. GECCO, Chicago IL, July 2003, 283--290.
 
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Tempesti, G. A Self-Repairing Multiplexer-Based FPGA Inspired by Biological Processes. Ph.D. Thesis No. 1827, Logic Systems Laboratory, The Swiss Federal Institute of Technology, Lausanne, 1998.
 
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Collaborative Colleagues:
Lucian Prodan: colleagues
Mihai Udrescu: colleagues
Mircea Vladutiu: colleagues