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A GRASP metaheuristic for the robust mapping and routing of dataflow process networks on manycore architectures

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Abstract

In this paper, we study the problem of joint placement and routing, both in the deterministic and stochastic cases, arising in the field of compilation of dataflow applications for manycore architectures. A GRASP algorithm is first proposed for solving the deterministic version and extended afterwards to treat the chance-constrained program with uncertainty affecting the weights of a dataflow process network. Extensive computational results, on representative synthetic benchmark and real data, illustrate the practical relevance of the approach, as well as the robustness of the obtained stochastic solutions.

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Notes

  1. Despite the exponential growth of the number of transistors which can be placed on an integrated circuit (according to Moore’s law), the performance of practical computing systems does not follow the same growth rate.

  2. Tasks Graph for Free: http://ziyang.eecs.umich.edu/~dickrp/tgff/.

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Stan, O., Sirdey, R., Carlier, J. et al. A GRASP metaheuristic for the robust mapping and routing of dataflow process networks on manycore architectures. 4OR-Q J Oper Res 13, 309–334 (2015). https://doi.org/10.1007/s10288-015-0280-0

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