Functional DIF for Rapid Prototyping

Plishker, William; Sane, Nimish; Kiemb, Mary; Anand, Kapil; Bhattacharyya, Shuvra S.

doi:10.1109/rsp.2008.32

Cited by 83 publications

(89 citation statements)

References 15 publications

(17 reference statements)

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“…This deterministic special case of EIDF is called core functional dataflow (CFDF) [20], and is the basis for a major component of the capability in DIF for modeling dynamic signal processing applications. Although CFDF is significantly restricted compared to EIDF, it is highly expressive as a deterministic dataflow model of computation.…”

Section: Enable-invoke Dataflowmentioning

confidence: 99%

“…Although CFDF is significantly restricted compared to EIDF, it is highly expressive as a deterministic dataflow model of computation. Indeed, it has been shown that Boolean dataflow actors [4] can be transformed into functionally equivalent CFDF actors [20]. From such a transformation and the established Turing completeness of Boolean dataflow, it can be demonstrated that CFDF is also Turing complete.…”

Section: Enable-invoke Dataflowmentioning

confidence: 99%

“…• Enable-invoke dataflow (EIDF), which is aimed at improving the predictability of actor invocation and the efficiency with which dynamic scheduling techniques can be realized [20].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling and optimization of dynamic signal processing in resource-aware sensor networks

Bhattacharyya

Plishker

Sane

et al. 2011

2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)

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Section: Enable-invoke Dataflowmentioning

confidence: 99%

Section: Enable-invoke Dataflowmentioning

confidence: 99%

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Modeling and optimization of dynamic signal processing in resource-aware sensor networks

Bhattacharyya

Plishker

Sane

et al. 2011

2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)

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“…Core functional dataflow (CFDF) is a deterministic sub-class of enable-invoke dataflow (EIDF) [15] in which dynamic functionality in an actor is specified as a set of actor modes. In each mode, the actor possesses deterministic dataflow behavior, meaning that the production/consumption rates on all actor output/input ports are known, constant values.…”

Section: Introductionmentioning

confidence: 99%

“…To express dynamics in complex signal processing applications, a number of dynamic dataflow models have been proposed, including parameterized synchronous dataflow (PSDF) [2], Boolean dataflow (BDF) [7], and core functional dataflow (CFDF) [15]. PSDF provides semantics to manipulate application parameters in dataflow models at run-time.…”

mentioning

confidence: 99%

Parameterized Sets of Dataflow Modes And Their Application to Implementation of Cognitive Radio Systems

Lin

Wang

Vosoughi

et al. 2014

J Sign Process Syst

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Cognitive radio networks present challenges at many levels of design, including configuration, control, and cross-layer optimization. To meet requirements of bandwidth, flexibility and reconfigurability, systematic methods to model and analyze cognitive radio designs on signal processing platforms are desired. To help address these challenges, we present in this paper a novel dataflow modeling technique, called parameterized set of modes (PSM). PSMs allow efficient representation, manipulation and application of related groups of processing configurations for functional design components in signal processing systems. PSMs lead to more concise formulations of actor behavior, and a unified modeling methodology for applying a variety of techniques for efficient implementation. We develop the formal foundations of PSM-based modeling, and demonstrate its utility through two case studies involving the mapping of reconfigurable wireless communication functionality into efficient implementations.

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MPEG Reconfigurable Video Coding

Mattavelli

Janneck

Raulet

2010

Handbook of Signal Processing Systems

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The current monolithic and lengthy scheme behind the standardization and the design of new video coding standards is becoming inappropriate to satisfy the dynamism and changing needs of the video coding community. Such a scheme and specification formalism do not enable designers to exploit the clear commonalities between the different codecs, neither at the level of the specification nor at the level of the implementation. Such a problem is one of the main reasons for the typical long time interval elapsing between the time a new idea is validated until it is implemented in consumer products as part of a worldwide standard. The analysis of this problem originated a new standard initiative within the ISO/IEC MPEG committee, called Reconfigurable Video Coding (RVC). The main idea is to develop a video coding standard that overcomes many shortcomings of the current standardization and specification process by updating and progressively incrementing a modular library of components. As the name implies, flexibility and reconfigurability are new attractive features of the RVC standard. The RVC framework is based on the usage of a new actor/dataflow oriented language called CAL for the specification of the standard library and the instantiation of the RVC decoder model. CAL dataflow models expose the intrinsic concurrency of the algorithms by employing the notions of actor programming and dataflow. This chapter gives an overview of the concepts and technologies building the standard RVC framework and the non standard tools supporting the RVC model from the instantiation and simulation of the CAL model to the software and/or hardware code synthesis.

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Functional DIF for Rapid Prototyping

Abstract: Abstract

Cited by 83 publications

References 15 publications

Modeling and optimization of dynamic signal processing in resource-aware sensor networks

Modeling and optimization of dynamic signal processing in resource-aware sensor networks

Parameterized Sets of Dataflow Modes And Their Application to Implementation of Cognitive Radio Systems

MPEG Reconfigurable Video Coding

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