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A Fast Software and Hardware Partitioning Method with Guaranteed Quality

A software and hardware partitioning and fast technology, applied in the computer field, can solve the problems of randomness of negative selection algorithm results and easy to fall into local optimum.

Active Publication Date: 2019-01-01
XIDIAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Then, the results of the negative selection algorithm are randomly hit, and it is easy to fall into the disadvantage of local optimum

Method used

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  • A Fast Software and Hardware Partitioning Method with Guaranteed Quality
  • A Fast Software and Hardware Partitioning Method with Guaranteed Quality
  • A Fast Software and Hardware Partitioning Method with Guaranteed Quality

Examples

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Embodiment Construction

[0102] The present invention will be further described below in conjunction with the accompanying drawings. It should be noted that this embodiment is based on the technical solution, and provides detailed implementation and specific operation process, but the protection scope of the present invention is not limited to the present invention. Example.

[0103] Such as Figure 5 As shown, a fast software and hardware division method with guaranteed quality includes the following steps:

[0104] S1 Given a task graph describing the embedded system, first set the parameters and data structure, including the self set self, the self set update length aSelf, the self set minimum matching length bSelf, and the array consistency_0 that records the concentration of 0 on each gene position And record the array consistency_1 of the concentration of 1 on each gene position, the crossover probability Pc and the mutation probability Pm;

[0105] S2 updates the self-set minimum matching len...

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Abstract

The invention discloses a quick software and hardware division method used for guaranteeing quality. The quick software and hardware division method retains the crossover operation and the mutation operation of a genetic algorithm, imports a negative selection process of a negative selection algorithm and a strategy that a new individual is generated on the basis of allele concentration, and a novel evolution method is adopted to quicken an evolution process and guarantee the quality of the individual so as to overcome the defect of long time consumption of a traditional genetic algorithm and the defects that the negative selection algorithm is high in result randomness and is likely to fall into local optimum.

Description

technical field [0001] The invention relates to the technical field of computers, in particular to a method for dividing software and hardware of an embedded system model. Background technique [0002] With the rapid development of embedded systems and microelectronics technology, the integration of hardware is getting higher and higher, which makes it possible to integrate CPU, memory and I / O devices on a silicon chip, and SOC emerges at the historic moment, and with its Features such as high integration, good reliability, and short product launch cycle have gradually become the mainstream of current embedded system design technology. [0003] Aiming at the problems and challenges faced by embedded system Soc design, researchers began to explore a new design methodology——Hardware / Software Co-Design (Hardware / Software Co-Design) methodology. Software-hardware co-design is not only a design technique, but also a new design methodology. Its core problem is to coordinate softw...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F8/10G06N3/12
CPCG06F8/10G06N3/126
Inventor 段振华李炳岩张南黄伯虎田聪王小兵
Owner XIDIAN UNIV
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