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In this presentation we focus on streaming applications and multi-core architectures. Because processing and memory is combined in the tiles, tasks can be executed efficiently (locality of reference). There are a number of application domains that can be considered as streaming applications, for example wireless baseband processing (for HiperLAN/2, WiMax, DAB, DRM, and DVB), multimedia processing (e.g. MPEG, MP3 coding/decoding), medical image processing, color image processing, sensor processing (e.g. remote surveillance cameras) and phased array radar systems.
We present an iterative hierarchical approach to map an application to a parallel heterogeneous SoC architecture at run-time. The application is modeled as a set of communicating processes. The optimization objective is to minimize the energy consumption of the SoC, while still providing the required Quality of Service. This approach is flexible, scalable and the performance looks promising.
