Parameterized dataflow modeling for DSP systems

Dataflow has proven to be an attractive computation model for programming digital signal processing (DSP) applications. A restricted version of dataflow, termed synchronous dataflow (SDF), that offers strong compile-time predictability properties, but has limited expressive power, has been studied e...

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Vydáno v:IEEE transactions on signal processing Ročník 49; číslo 10; s. 2408 - 2421
Hlavní autoři: Bhattacharya, B., Bhattacharyya, S.S.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.10.2001
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Application software
Applied sciences
Computer architecture
Computer programs
Digital filters
Digital signal processing
Dynamical systems
Dynamics
Electronics
Exact sciences and technology
Hardware
Information, signal and communications theory
Integrated circuits
Integrated circuits by function (including memories and processors)
Mathematical models
Metamodeling
Microarchitecture
Miscellaneous
Power system modeling
Semantics
Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices
Signal design
Signal processing
Speech compression
Speech synthesis
Studies
Synchronous
Telecommunications and information theory
Software tool
Embedded systems
Reconfigurable architectures
Parameterization
Digital signal processor
Modeling
Metamodel
Computer aided design
Formal semantics
Data flow
ISSN:1053-587X, 1941-0476
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Popis
Shrnutí:Dataflow has proven to be an attractive computation model for programming digital signal processing (DSP) applications. A restricted version of dataflow, termed synchronous dataflow (SDF), that offers strong compile-time predictability properties, but has limited expressive power, has been studied extensively in the DSP context. Many extensions to synchronous dataflow have been proposed to increase its expressivity while maintaining its compile-time predictability properties as much as possible. We proposed a parameterized dataflow framework that can be applied as a meta-modeling technique to significantly improve the expressive power of any dataflow model that possesses a well-defined concept of a graph iteration, Indeed, the parameterized dataflow framework is compatible with many of the existing dataflow models for DSP including SDF, cyclo-static dataflow, scalable synchronous dataflow, and Boolean dataflow. In this paper, we develop precise, formal semantics for parameterized synchronous dataflow (PSDF)-the application of our parameterized modeling framework to SDF-that allows data-dependent, dynamic DSP systems to be modeled in a natural and intuitive fashion. Through our development of PSDF, we demonstrate that desirable properties of a DSP modeling environment such as dynamic reconfigurability and design reuse emerge as inherent characteristics of our parameterized framework. An example of a speech compression application is used to illustrate the efficacy of the PSDF approach and its amenability to efficient software synthesis techniques. In addition, we illustrate the generality of our parameterized framework by discussing its application to cyclo-static dataflow, which is a popular alternative to the SDF model.
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ISSN:1053-587X
1941-0476
DOI:10.1109/78.950795