Abstract
Multiprocessor systems on a chip (MPSoCs) are a popular class of course-grained parallel computer architectures, which are very useful, because they support re-use of legacy software components and application-specific tailoring of hardware structures at the same time. Furthermore, model-driven design frameworks for MPSoCs such as Xilinx’ EDK or our own LavA-framework facilitate very fast system development. However, in this paper we argue that these design frameworks are not ideal from the development process perspective. Instead, we propose a software-centric approach that is based on the hardware API concept. The API is a representation of hardware components on the software level, which is generated from a hardware meta-model. It allows us to automatically derive a hardware structure based on access patterns in software, revealed by a static code analysis. This trick reduces the number of hardware details the developer needs to deal with and avoids configuration inconsistencies between the hardware and software levels by design.
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Meier, M., Breddemann, M., Spinczyk, O. (2014). Hardware APIs: A Software-Centric Approach for Automated Derivation of MPSoC Hardware Structures Based on Static Code Analysis. In: Maehle, E., Römer, K., Karl, W., Tovar, E. (eds) Architecture of Computing Systems – ARCS 2014. ARCS 2014. Lecture Notes in Computer Science, vol 8350. Springer, Cham. https://doi.org/10.1007/978-3-319-04891-8_10
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DOI: https://doi.org/10.1007/978-3-319-04891-8_10
Publisher Name: Springer, Cham
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