Abstract
This paper proposes a fast, novel approach for the HW/SW codesign of computer systems based on a computational capacity model. System node bandwidths and bandwidths used by the SW load underlie three sets of linear equations: a model system representing a load running on a computer, a design equation and objective function with goals as inputs, and a capacity sensitivity equation. These are augmented with nonlinear techniques to analyze multirate HW nodes as well as to synthesize system nodes when codesign goals exceed feasible engineering HW choices. Solving the equations rapidly finds the optimal costs of a broad class of architectures for a given computational load. The performance of each component can be determined globally and for each computational phase. The ideas are developed theoretically and illustrated by numerical examples plus results produced by a prototype CAPE tool implementation.
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Acknowledgements
David Wong and Ahmed Sameh provided many insights in developing this material; David Wong designed and implemented the CAPE tool.
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© 2012 Springer-Verlag London Limited
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Kuck, D.J. (2012). Computational Capacity-Based Codesign of Computer Systems. In: Berry, M., et al. High-Performance Scientific Computing. Springer, London. https://doi.org/10.1007/978-1-4471-2437-5_2
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DOI: https://doi.org/10.1007/978-1-4471-2437-5_2
Publisher Name: Springer, London
Print ISBN: 978-1-4471-2436-8
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