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- W1987918097 abstract "Cyclo-Static Dataflow Graphs (CSDFGs in short) is a static model commonly used to describe communications between processes. It is increasingly considered for modeling applications executed by many-core architectures; their static analysis becomes thus essential for developing efficient compile-time optimization. This paper aims to develop efficient algorithms to approximately solve two main difficult problems: the determination of the maximum throughput of a CSDFG and the optimization of the buffer sizes with a minimum required throughput. They are both based on a new characterization of feasible periodic schedules. A polynomial-time algorithm is deduced to evaluate the maximum throughput of a periodic schedule, providing a lower bound of the maximum throughput of the CSDFG. A new model for the optimization of the buffer sizes with a minimum required throughput based on integer linear programming is also developed, leading to a new algorithm to solve it approximately. Our algorithms are successfully compared with other academic solutions through representative benchmarks." @default.
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- W1987918097 date "2013-10-01" @default.
- W1987918097 modified "2023-10-12" @default.
- W1987918097 title "Periodic schedules for Cyclo-Static Dataflow" @default.
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- W1987918097 doi "https://doi.org/10.1109/estimedia.2013.6704509" @default.
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