@book { niemann:1998:phd,
  author = {Niemann, Ralf},
  title = {Hardware/Software Co-Design for Data Flow Dominated Embedded Systems},
  publisher = {Kluwer Academic Publishers},
  year = {1998},
  keywords = {hwsw},
  confidential = {n},
}

@inproceedings { niemann:1998:date,
  author = {Niemann, Ralf and Marwedel, Peter},
  title = {Synthesis of Communicating Controllers for Concurrent Hardware/Software Systems},
  booktitle = {Design, Automation and Test in Europe (DATE)},
  year = {1998},
  address = {Paris/France},
  month = {feb},
  keywords = {hwsw},
  file = {http://ls12-www.cs.tu-dortmund.de/daes/media/documents/publications/downloads/1998-date-niemann.pdf},
  confidential = {n},
  abstract = {Two main aspects in hardware/software codesign are hardware/software partitioning and co-synthesis. Most codesign approaches work only on one of these problems. In this paper, an approach coupling hardware/software partitioning and co-synthesis will be presented, working fully-automatic. The techniques have been integrated in the codesign tool COOL (COdesign toOL) supporting the complete design flow from system specification to board-level implementation for multi-processor and multi-ASIC target architectures for data-flow dominated applications.},
}

@article { niemann:1997:daes,
  author = {Niemann, Ralf and Marwedel, Peter},
  title = {An Algorithm for Hardware/Software Partitioning Using Mixed Integer Linear Programming},
  journal = {Design Automation for Embedded Systems},
  year = {1997},
  keywords = {hwsw},
  file = {http://ls12-www.cs.tu-dortmund.de/daes/media/documents/publications/downloads/1997-daes-journal.pdf},
  confidential = {n},
  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.},
}

@inproceedings { niemann:1996:edtc,
  author = {Niemann, Ralf and Marwedel, Peter},
  title = {Hardware/Software Partitioning using Integer Programming},
  booktitle = {Proc. European Design \\& Test Conference},
  year = {1996},
  keywords = {hwsw},
  file = {http://ls12-www.cs.tu-dortmund.de/daes/media/documents/publications/downloads/1996-edtc.pdf},
  confidential = {n},
  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 respective to the 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 the cost metrics is compensated by an improved quality of the estimations compared to the results of estimators. Therefore, fewer iteration steps of partitioning will be needed. The paper will show that using integer programming to solve the hardware/software partitioning problem is feasible and leads to promising results.},
}

@techreport { niemann:1995:report,
  author = {Niemann, Ralf},
  title = {Hardware/Software Partitioning using Integer Programming},
  institution = {TU Dortmund, Faculty of Computer Science 12},
  year = {1995},
  type = {Technical Report},
  number = {586},
  keywords = {hwsw},
  file = {http://ls12-www.cs.tu-dortmund.de/daes/media/documents/publications/downloads/1995-TechReport-586.pdf},
  confidential = {n},
  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 respective to the 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 the cost metrics is compensated by an improved quality of the estimations compared to the results of estimators.  Therefore fewer iteration steps of partitioning are needed.  The paper will show that using integer programming to solve the hardware/software partitioning problem is feasible and leads to promising results.},
}

@inproceedings { leupers:1994:ieee,
  author = {Leupers, Rainer and Niemann, Ralf and Marwedel, Peter},
  title = {Methods for Retargetable DSP Code Generation},
  booktitle = {IEEE Workshop on VLSI Signal Processing 1994},
  year = {1994},
  keywords = {hwsw},
  file = {http://ls12-www.cs.tu-dortmund.de/daes/media/documents/publications/downloads/1994-IEEE.pdf},
  confidential = {n},
  abstract = {Efficient embedded DSP system design requires methods of hardware/software codesign. In this contribution we focus on software synthesis for partitioned system behavioral descriptions. In previous approaches, this task is performed by compiling the behavioral descriptions onto standard processors using target-specific compilers. It is argued that abandoning this restriction allows for higher degrees of freedom in design space exploration. In turn, this demands for retargetable code generation tools.  We present different schemes for DSP code generation using the MSSQ microcode generator. Experiments with industrial applications revealed that retargetable DSP code generation based on structural hardware descriptions is feasible, but there exists a strong dependency between the behavioral description style and the resulting code quality. As a result, necessary features of high-quality retargetable DSP code generators are identified.},
}