Specification and support for multidimensional DSP in the SILAGE language

Verbauwhede, Ingrid; Scheers, C.; Rabaey, Jan M.

doi:10.1109/icassp.1994.389622

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Earlier research efforts have focused on supporting commonly used and highly expressive constructs from procedural languages, such as recurrences, iteration, and conditionals, in dataflow-oriented languages [13]. Subsequent work includes evolution of various textual languages for DSP system design, such as SILAGE [14], StreamIt [15], and CAL [16]. The StreamIt language provides highlevel, architecture-independent abstractions for streaming applications geared toward large-scale program development.…”

Section: Related Workmentioning

confidence: 99%

Scalable representation of dataflow graph structures using topological patterns

Sane

Kee

Seetharaman

et al. 2010

2010 IEEE Workshop on Signal Processing Systems

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Tools for designing signal processing systems with their semantic foundation in dataflow modeling often use high-level graphical user interface (GUI) or text based languages that allow specifying applications as directed graphs. Such graphical representations serve as an initial reference point for further analysis and optimizations that lead to platform-specific implementations. For large-scale applications, the underlying graphs often consist of smaller substructures that repeat multiple times. To enable more concise representation and direct analysis of such substructures in the context of high level DSP specification languages and design tools, we develop the modeling concept of topological patterns, and propose ways for supporting this concept in a high-level language. We augment the DIF language -a language for specifying DSP-oriented dataflow graphs -with constructs for supporting topological patterns, and we show how topological patterns can be effective in various aspects of embedded signal processing design flows using specific application examples.

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Section: Related Workmentioning

confidence: 99%

Scalable representation of dataflow graph structures using topological patterns

Sane

Kee

Seetharaman

et al. 2010

2010 IEEE Workshop on Signal Processing Systems

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show abstract

“…Subsequent work includes evolution of various textual languages for DSP system design, such as SILAGE [37], StreamIt [36], and CAL [12]. The StreamIt language provides high-level, architecture-independent abstractions for streaming applications geared toward largescale program development.…”

Section: Related Workmentioning

confidence: 99%

Topological Patterns for Scalable Representation and Analysis of Dataflow Graphs

Sane

Kee

Seetharaman

et al. 2011

J Sign Process Syst

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Tools for designing signal processing systems with their semantic foundation in dataflow modeling often use high-level graphical user interfaces (GUIs) or text based languages that allow specifying applications as directed graphs. Such graphical representations serve as an initial reference point for further analysis and optimizations that lead to platform-specific implementations. For large-scale applications, the underlying graphs often consist of smaller substructures that repeat multiple times. To enable more concise representation and direct analysis of such substructures in the context of high level DSP specification languages and design tools, we develop the modeling concept of topological patterns, and propose ways for supporting this concept in a high-level language. We augment the dataflow interchange format (DIF) language-a language for specifying DSP-oriented dataflow graphs-with constructs for supporting topological patterns, and we show how topological patterns can be effective in various aspects of embedded signal processing design flows using specific application examples.

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Design and implementation of a multidimensional synchronous dataflow environment

Chen

Lee

Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers

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Specification and support for multidimensional DSP in the SILAGE language

Cited by 4 publications

References 9 publications

Scalable representation of dataflow graph structures using topological patterns

Scalable representation of dataflow graph structures using topological patterns

Topological Patterns for Scalable Representation and Analysis of Dataflow Graphs

Design and implementation of a multidimensional synchronous dataflow environment

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