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Transformative Hardware Design Following the Model-Driven Architecture Vision

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VLSI-SoC: Technology Advancement on SoC Design (VLSI-SoC 2021)

Abstract

Despite the high configurability of IPs and hardware generators, code modifications are still required to introduce aspect-oriented instrumentation to satisfy emerging aspectual design requirements such as on-chip debug and functional safety. These code modifications escalate development, verification efforts, and deteriorate code reuse. This paper proposes a highly efficient transformative hardware design methodology that leverages graph-grammar-based model transformations. Following the proposed methodology, main design functionalities and aspectual instrumentation are separately developed, automatically integrated, and verified. To demonstrate the applicability, industrial SoCs were transformed to support on-chip debug. Compared to the manual RTL coding, the proposed transformative methodology needed less than 32x Lines of Code (LoC) to develop and integrate the aspectual instrumentation. In particular, our approach enables high code reusability, as the implementation of the transformation script is a one-time effort, and can be applied to all evaluated SoCs. This high LoC gain and code reuse promote the overall productivity of digital design.

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Acknowledgements

The work described herein is partly funded by the German Federal Ministry of Education and Research (BMBF) as part of the research project Scale4Edge (16ME0122K). It has its roots in the BMBF funded projects SAVE4I and COMPACT.

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Correspondence to Zhao Han .

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Han, Z. et al. (2022). Transformative Hardware Design Following the Model-Driven Architecture Vision. In: Grimblatt, V., Chang, C.H., Reis, R., Chattopadhyay, A., Calimera, A. (eds) VLSI-SoC: Technology Advancement on SoC Design. VLSI-SoC 2021. IFIP Advances in Information and Communication Technology, vol 661. Springer, Cham. https://doi.org/10.1007/978-3-031-16818-5_3

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  • DOI: https://doi.org/10.1007/978-3-031-16818-5_3

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  • Online ISBN: 978-3-031-16818-5

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