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Wuhan University Journal of Natural Sciences

, Volume 24, Issue 4, pp 341–348 | Cite as

Solving Hardware/Software Partitioning via a Discrete Dynamic Convexized Method

  • Geng LinEmail author
Mathematics
  • 18 Downloads

Abstract

Hardware/software partitioning is an important step in the design of embedded systems. In this paper, the hardware/software partitioning problem is modeled as a constrained binary integer programming problem, which is further converted equivalently to an unconstrained binary integer programming problem by a penalty method. A local search method, HSFM, is developed to obtain a discrete local minimizer of the unconstrained binary integer programming problem. Next, an auxiliary function, which has the same global optimal solutions as the unconstrained binary integer programming problem, is constructed, and its properties are studied. We show that applying HSFM to minimize the auxiliary function can escape from previous local optima by the increase of the parameter value successfully. Finally, a discrete dynamic convexized method is developed to solve the hardware/ software partitioning problem. Computational results and comparisons indicate that the proposed algorithm can get high-quality solutions.

Key words

hardware software partitioning binary integer programming local search dynamic convexized method 

CLC number

O 224 

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Copyright information

© Wuhan University and Springer-Verlag GmbH Germany 2019

Authors and Affiliations

  1. 1.Collaborative Innovation Center of IoT Industrialization and Intelligent ProductionMinjiang UniversityFuzhou, FujianChina
  2. 2.College of Mathematics and Data ScienceMinjiang UniversityFuzhou, FujianChina

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