Towards Generic Embedded Multiprocessing for RVC-CAL Dataflow Programs
作者： Jani Boutellier , Olli Silvén
DOI: 10.1007/S11265-013-0737-3
关键词: Field-programmable gate array 、 Multiprocessing 、 Implementation 、 Computer science 、 Computer architecture 、 Video decoder 、 Toolchain 、 Dataflow 、 Software 、 Workstation 、 Embedded system 、 Electronic design automation 、 Control and Systems Engineering 、 Signal processing 、 Theoretical computer science 、 Modelling and Simulation 、 Hardware and Architecture 、 Information Systems
摘要: Dataflow languages enable describing signal processing applications in a platform independent fashion, which makes them attractive today's multiprocessing era. RVC-CAL is dynamic dataflow language that enables complex data-dependent programs such as video decoders. To this date, design automation toolchains for have enabled creating workstation software, dedicated hardware and embedded application specific multiprocessor implementations out of programs. However, no solution has been presented executing on generic platforms. This paper presents dataflow-based communication model, an architecture prototype uses it automated toolchain instantiating the software it. The complexity increases linearly number processors increased. experiments use several instances proposed platform, with different numbers processors. An MPEG-4 decoder mapped to executed Benchmarks are performed FPGA board.
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