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A Hybrid Approach for Runtime Analysis Using a Cycle and Instruction Accurate Model

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Architecture of Computing Systems – ARCS 2018 (ARCS 2018)

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Abstract

Developing a new microchip for an embedded application these days means that the engineer has to take many different design options into account. Evaluating the different processor cores regarding their runtime for a certain algorithm requires simulation tools which make emulation feasible. They come in two flavors: Cycle and instruction accurate simulation. The first one offers a high accuracy regarding the estimated time but is very slow. The second one offers a high simulation speed but only provides a very imprecise estimation of the real runtime. This paper shows a new approach that allows to combine these kinds of simulation to increase the exactness of the estimated time while limiting the additionally required simulation time.

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Acknowledgement

This work is supported by the Bavarian Research Foundation (BFS) as part of their research project “FORMUS3IC”.

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Correspondence to Sebastian Rachuj .

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Rachuj, S., Herglotz, C., Reichenbach, M., Kaup, A., Fey, D. (2018). A Hybrid Approach for Runtime Analysis Using a Cycle and Instruction Accurate Model. In: Berekovic, M., Buchty, R., Hamann, H., Koch, D., Pionteck, T. (eds) Architecture of Computing Systems – ARCS 2018. ARCS 2018. Lecture Notes in Computer Science(), vol 10793. Springer, Cham. https://doi.org/10.1007/978-3-319-77610-1_7

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  • DOI: https://doi.org/10.1007/978-3-319-77610-1_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77609-5

  • Online ISBN: 978-3-319-77610-1

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