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Modular signal processing flow graph and multiprocessor hardware platform modeling method

A signal processing and hardware platform technology, applied in the field of signal processing, can solve problems such as long cycle and poor versatility, and achieve the effect of improving development quality and speeding up development efficiency

Active Publication Date: 2013-04-03
TSINGHUA UNIV
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Problems solved by technology

[0002] Traditionally, the development in the field of signal processing is highly specialized, poor in versatility, and has a long cycle

Method used

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  • Modular signal processing flow graph and multiprocessor hardware platform modeling method
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  • Modular signal processing flow graph and multiprocessor hardware platform modeling method

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Embodiment Construction

[0034] The implementation and application of the present invention will be further described below in conjunction with the accompanying drawings.

[0035] A modeling method of a signal processing flow graph and a multiprocessor hardware platform, which specifically includes three parts: a modeling method of a modular signal processing flow graph, a modeling method of a hardware platform, and a modeling method of a signal processing flow graph to a hardware platform Mapping system.

[0036] Such as figure 1 Shown is an example of a modularized signal processing flow graph. The figure contains four modules A, B, C, and D. The circles in each module indicate input / output ports, and the arrows indicate the data communication relationship between modules. A feature of the present invention is to model the modularized signal processing flow graph, that is, it does not care about the modularization method of the signal processing flow graph, but cares about the modeling method of t...

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Abstract

A modular signal processing flow graph and multiprocessor hardware platform modeling method is characterized by being a modeling method of mapping modular signal processing flow graphs to a multiprocessor hardware platform. The method comprises three parts of a signal flow graph system, a hardware platform system and a mapping system. Firstly, the modular signal processing flow graphs are modeled, that is, a module system and a data stream system are modeled respectively, the former is used for modeling all functional modules in the flow graphs, and the latter is used for modeling data communication relations among all modules in the flow graphs. Secondly, the multiprocessor hardware platform is modeled, that is, an internal-node system and an among-node system are modeled respectively, the former is used for modeling a processor system of single node and interconnection topology among processors in the nodes, and the latter is used for modeling overall attribute of single node and topology structures among the nodes. And finally, the mapping system is modeled to achieve mapping relations between the modules in the flow graphs and cores of the processors.

Description

technical field [0001] The invention belongs to the field of signal processing, in particular to a modeling method of a signal processing flow chart and a multi-processor hardware platform. Background technique [0002] Traditionally, the development in the field of signal processing is highly specialized, poor in versatility, and has a long cycle. The idea of ​​modular development promotes the modular division of the signal processing flow to obtain relatively independent functional modules. On this basis, the graphical development of the entire signal processing flow is further realized, that is, the signal processing flow is built by simply dragging and dropping modules and connections, so that the reuse of modules can be realized, that is, the function code of the module only needs to be developed once, so that Completely liberate software developers from heavy code writing tasks. [0003] On the one hand, in order to realize graphical development, it is necessary to p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/44
Inventor 汤俊孙培林李宁汤小为韦文杜劲松毕欣余吉
Owner TSINGHUA UNIV
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