Integrated Modeling Using Finite State Machines and Dataflow Graphs

Falk J, Neubauer K, Haubelt C, Zebelein C, Teich J (2018)

Publication Language: English

Publication Type: Book chapter / Article in edited volumes

Publication year: 2018

Publisher: Springer

Edited Volumes: Handbook of Signal Processing Systems

Pages Range: 825-864

ISBN: 978-3-319-91734-4

DOI: 10.1007/978-3-319-91734-4_23

Abstract

In this chapter, different application modeling approaches based on the integration of finite state machines with dataflow models are reviewed. Many well-known Models of Computation (MoC) that are used in design methodologies to generate optimized hardware/software implementations from a model-based specification turn out to be special cases thereof. A particular focus is put on the analyzability of these models with respect to schedulability and the generation of efficient schedule implementations. Here, newest results on clustering methods for model refinement and schedule optimization by means of quasi-static scheduling are presented.

Authors with CRIS profile

Joachim Falk Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Jürgen Teich Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)

Involved external institutions

Universität Rostock DE Germany (DE)

How to cite

APA:

Falk, J., Neubauer, K., Haubelt, C., Zebelein, C., & Teich, J. (2018). Integrated Modeling Using Finite State Machines and Dataflow Graphs. In Bhattacharyya S., Deprettere E., Leupers R., Takala J. (Eds.), Handbook of Signal Processing Systems. (pp. 825-864). Springer.

MLA:

Falk, Joachim, et al. "Integrated Modeling Using Finite State Machines and Dataflow Graphs." Handbook of Signal Processing Systems. Ed. Bhattacharyya S., Deprettere E., Leupers R., Takala J., Springer, 2018. 825-864.

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