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The von Neumann Syndrome and the CS Education Dilemma

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Reconfigurable Computing: Architectures, Tools and Applications (ARC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4943))

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Abstract

Computing the von Neumann style is tremendously inefficient because multiple layers of massive overhead phenomena often lead to code sizes of astronomic dimensions, thus requiring large capacity slow off-chip memory. The dominance of von-Neumann-based computing will become unaffordable during next decade because of growing very high energy consumption and increasing cost of energy. For most application domains a von-Neumann-based parallelization does not scale well, resulting in the escalating many-core programming crisis by requiring complete remapping and re-implementation—often promising only disappointing results. A sufficiently large population of manycore-qualified programmers is far from being available. Efficient solutions for the many-core crisis are hardly possible by fully instruction-stream-based approaches. Several HPC celebrities call for a radical re-design of the entire computing discipline. The solution is a dual paradigm approach, which includes fundamental concepts known already for a long time from Reconfigurable Computing. Whistle blowing is overdue, since these essential qualifications for our many-core future and for low energy computing are obstinately ignored by CE, CS and IT curriculum task forces. This talk also sketches a road map.

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Roger Woods Katherine Compton Christos Bouganis Pedro C. Diniz

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© 2008 Springer-Verlag Berlin Heidelberg

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Hartenstein, R. (2008). The von Neumann Syndrome and the CS Education Dilemma. In: Woods, R., Compton, K., Bouganis, C., Diniz, P.C. (eds) Reconfigurable Computing: Architectures, Tools and Applications. ARC 2008. Lecture Notes in Computer Science, vol 4943. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78610-8_3

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  • DOI: https://doi.org/10.1007/978-3-540-78610-8_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78609-2

  • Online ISBN: 978-3-540-78610-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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