Extracting a simplified view of design functionality based on vector simulation

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Abstract

This paper presents a simulation-based methodology for extracting a simplified view of design functionality from a given module. Such a simplified design view can be used to facilitate test pattern justification from the outputs of the module to the inputs of the module. In this work, we formulate this type of design simplification as a learning problem. By developing a scheme for learning word-level functions, we point out that the core of the problem is to develop an efficient Boolean learner. We discuss the implementation of such a Boolean learner and compare its performance with the one of best-known learning algorithms, the Fourier analysis based method. Experimental results are presented to illustrate the implementation of the simulation-based methodology and its usage for extracting a simplified view of Open RISC 1200 datapath. © Springer-Verlag Berlin Heidelberg 2007.

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Guzey, O., Wen, C., Wang, L. C., Feng, T., Miller, H., & Abadir, M. S. (2007). Extracting a simplified view of design functionality based on vector simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4383 LNCS, pp. 34–49). Springer Verlag. https://doi.org/10.1007/978-3-540-70889-6_3

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