Models of Architecture: Reproducible Efficiency Evaluation for Signal Processing Systems

Abstract : The current trend in high performance and embedded signal processing consists of designing increasingly complex heterogeneous hardware architectures with non-uniform communication resources. In order to take hardware and software design decisions, early evaluations of the system non-functional properties are needed. These evaluations of system efficiency require high-level information on both the algorithms and the architecture. In this paper, we define the notion of Model of Architecture (MoA) and study the combination of a Model of Computation (MoC) and an MoA to provide a design space exploration environment for the study of the algorithmic and architectural choices. A cost is computed from the mapping of an application, represented by a model conforming a MoC onto an architecture represented by a model conforming an MoA. The cost is composed of a processing-related part and a communication-related part. It is an abstract scalar value to be minimized and can represent any non-functional requirement of a system such as memory, energy, throughput or latency.
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Communication dans un congrès
International Workshop on Signal Processing Systems, Oct 2016, Dallas, United States. 2016, Proceedings of the 2016 IEEE International Workshop on Signal Processing Systems
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Dernière modification le : vendredi 16 novembre 2018 - 01:28:08
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  • HAL Id : hal-01390508, version 1

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Maxime Pelcat, Karol Desnos, Luca Maggiani, Yanzhou Liu, Julien Heulot, et al.. Models of Architecture: Reproducible Efficiency Evaluation for Signal Processing Systems. International Workshop on Signal Processing Systems, Oct 2016, Dallas, United States. 2016, Proceedings of the 2016 IEEE International Workshop on Signal Processing Systems. 〈hal-01390508〉

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