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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bhattacharya, B. Bhattacharyya, S.S. |
| Copyright Year | 2000 |
| Description | Author affiliation: Inst. for Adv. Comput. Studies, Maryland Univ., College Park, MD, USA (Bhattacharya, B.) |
| Abstract | Dataflow has proven to be an attractive computation model for programming 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 propose a parameterized data-flow framework that can be applied as a meta-modeling technique to significantly improve the expressive power of an arbitrary data-flow 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, CSDF, and SSDF. We develop a precise, formal semantics for parameterized synchronous dataflow that allows data-dependent dynamic DSP systems to be modeled in a natural and intuitive fashion. Desirable properties of a modeling environment like dynamic re-configurability and design re-use emerge as inherent characteristics of the parameterized framework. An example of a speech compression application is used to illustrate the efficacy of the parameterized modeling techniques in real-life data-dependent DSP systems. |
| Starting Page | 3362 |
| Ending Page | 3365 |
| File Size | 528983 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780362934 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2000.860121 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-06-05 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Digital signal processing Power engineering computing Power system modeling Production Educational institutions Computational modeling Application software Metamodeling Oils Speech |
| Content Type | Text |
| Resource Type | Article |
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