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• throughput analysis for a parametric. Homogenous synchronous data flow graph (hsdfg) model • when there is only one token at the input, and one at the output, an sdfg is called a homogenous sdfg (hsdfg). Original graph structure is lost due to the conversion to an hsdfg.
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In this work we describe a complete method that improves and extends the. In this paper, we present an efficient and exact method to find feasible retiming and optimal retiming of an unfolded sdfg on its original sdfg, without converting it to its equivalent. A single channel in an sdfg corresponds to a set of channels in the hsdfg.
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Hsdfg method (3/4) • the throughput of an sdfg is equal to the inverse of the maximum cycle mean (mcm) of the equivalent hsdfg. Consider for example the hsdfg in figure 1a, where all rates are assumed to be one and actors a and c are mapped on one processor, while actors b and d on another. Retiming and unfolding are important graph transformation techniques for performance optimization of sdfgs.
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Homogenous synchronous data flow graph (hsdfg) model when there is only one token at the input, and one at the output, an sdfg is called a homogenous sdfg (hsdfg). Any valid sdfg can be converted to an equivalent homogenous sdfg (hsdfg). In figur 2, for example, the six edges.
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