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An Algorithm for Hardware/Software Partitioning Using Mixed Integer Linear Programming

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Abstract

One of the key problems in hardware/software codesign is hardware/software partitioning. This paper describes a new approach to hardware/software partitioning using integer programming (IP). The advantage of using IP is that optimal results are calculated for a chosen objective function. The partitioning approach works fully automatic and supports multi-processor systems, interfacing and hardware sharing. In contrast to other approaches where special estimators are used, we use compilation and synthesis tools for cost estimation. The increased time for calculating values for the cost metrics is compensated by an improved quality of the values. Therefore, fewer iteration steps for partitioning are needed. The paper presents an algorithm using integer programming for solving the hardware/software partitioning problem leading to promising results.

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Authors and Affiliations

  1. Dept. of Computer Science XII, University of Dortmund, D-44221, Dortmund, Germany

    Ralf Niemann & Peter Marwedel

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  1. Ralf Niemann
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  2. Peter Marwedel
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Niemann, R., Marwedel, P. An Algorithm for Hardware/Software Partitioning Using Mixed Integer Linear Programming. Design Automation for Embedded Systems 2, 165–193 (1997). https://doi.org/10.1023/A:1008832202436

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  • DOI: https://doi.org/10.1023/A:1008832202436

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