Integrated Modeling Using Finite State Machines and Dataflow Graphs

Falk J, Haubelt C, Zebelein C, Teich J (2013)

Publication Language: English

Publication Type: Book chapter / Article in edited volumes

Publication year: 2013

Publisher: Springer

Edited Volumes: Handbook of Signal Processing Systems

City/Town: New York, NY

ISBN: 978-1-4614-6858-5

DOI: 10.1007/978-1-4614-6859-2_30

Abstract

In this chapter, different application modeling approaches based on the integration of finite state machines with dataflow models are reviewed. Restricted Models of Computation (MoC) may be exploited in design methodologies to generate optimized hardware/software implementations from a given application model. A particular focus is put on the analyzability of these models with respect to schedulability and the generation of efficient schedule implementations. In this purpose, clustering methods for model refinement and schedule optimization are of particular interest.

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., Haubelt, C., Zebelein, C., & Teich, J. (2013). Integrated Modeling Using Finite State Machines and Dataflow Graphs. In Bhattacharyya S., Deprettere E., Leupers R., Takala J. (Eds.), Handbook of Signal Processing Systems. New York, NY: 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., New York, NY: Springer, 2013.

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