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Reaping the benefits of mass production with massively parallel computing

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Advances in Computing and Information — ICCI '91 (ICCI 1991)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 497))

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Abstract

Mass production, as an idea, has had a long and successful history. First recognized and distilled in the early 19th century by such men as Adam Smith and Charles Babbage, it has since been successfully applied to virtually every manufacturing process, from farming to automobile manufacture

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References

  1. Descriptions des arts et metiers, faites ou approuvees par messieurs de l'Academie royale des science, 45. (1761–89).

    Google Scholar 

  2. Adam Smith. An Inquiry into the Nature and Causes of the Wealth of Nations (1776).

    Google Scholar 

  3. Charles Babbage. On the Economy of Machinery and Manufacture (1832).

    Google Scholar 

  4. S. Kirkpatrick, C. D. Gelatt, M. P. Vecchi. “Optimization by Simulated Annealing”. Science, 220, 4598, 671–680, 13 May 1983.

    Google Scholar 

  5. Craig Stanfill, David Waltz. “Toward Memory-Based Reasoning”. Communications of the ACM 29, 12, 1213–1228.

    Google Scholar 

  6. John Holland. Adaptation in Natural and Artificial Systems. Ann Arbor: The University of Michigan Press. 1975.

    Google Scholar 

  7. W. Daniel Hillis. The Connection Machine. MIT Press. Cambridge, MA. 1985.

    Google Scholar 

  8. M. Appel, E. Hellerman. “Census Bureau Experiments With Automated Industry and Occupation Coding”. Proc. Amer. Statistical Assoc, (1983), 32–40.

    Google Scholar 

  9. Robert H. Creecy, Brij M. Masand, Stephen J. Smith, David Waltz. “Trading Mips and Memory for Knowledge Engineering: Automatic Classification of Census Returns on a Massively Parallel Supercomputer”. Submitted to Communications of the ACM (1991).

    Google Scholar 

  10. Pervez Ahmed, C. Y. Suen. “Computer Recognition of Totally Unconstrained Handwritten Zip Codes”. Internation Journal of Pattern Recognition and Artificial Intelligence 1, 1 (1987).

    Article  Google Scholar 

  11. C. Rummelhart, J. McClelland et al. Parallel Distributed Processing. MIT Press, Cambridge, MA (1986).

    Google Scholar 

  12. R. Quinlan. “Learning Efficient Classification Procedures And Their Applications To Chess End Games”. In R. Michalski, J. Carbonell, T. Mitchell (eds.), Machine Learning: An Artificial Intelligence Approach, Tioga Publishing, Los Angeles, CA (1983), 463–482.

    Google Scholar 

  13. D. J. Burr. “Elastic Matching of Line Drawings”. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-3, 6, 708–713 (November 1981).

    Google Scholar 

  14. David Waltz. “Massively Parallel AI”. Proc. National Conf. AI, (AAAI '90), Boston, (August 1990))

    Google Scholar 

  15. K. E. Batcher, “A New Internal Sorting Method”. Goodyear Aerospace Report GER-11759 (1964).

    Google Scholar 

  16. D. Knuth. Sorting and Searching, Vol. 3. The Art of Computer Programming (Addison-Wesley, New York, 1973).

    Google Scholar 

  17. W. Daniel Hillis. “Co-Evolving Parasites Improve Simulated Evolution as an Optimization Procedure”. Physica D 42, 228–234. North-Holland (1990).

    Google Scholar 

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Frank Dehne Frantisek Fiala Waldemar W. Koczkodaj

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© 1991 Springer-Verlag Berlin Heidelberg

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Smith, S.J. (1991). Reaping the benefits of mass production with massively parallel computing. In: Dehne, F., Fiala, F., Koczkodaj, W.W. (eds) Advances in Computing and Information — ICCI '91. ICCI 1991. Lecture Notes in Computer Science, vol 497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-54029-6_151

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  • DOI: https://doi.org/10.1007/3-540-54029-6_151

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54029-8

  • Online ISBN: 978-3-540-47359-6

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