A reconfigurable task placement method based on area first and dynamic genetic algorithm

A genetic algorithm and layout method technology, applied in the field of reconfigurable task layout based on area priority and dynamic genetic algorithm, can solve problems such as uncontrollable communication delay of application system, routing congestion of processing units, discarding task modules, etc., and achieve improvement. Defects, increase fault tolerance, improve the effect of solving accuracy

Inactive Publication Date: 2019-03-12
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the scarcity of computing resources during the task layout process, resource usage conflicts in the task module will cause the layout to fail
One is that the processing unit where the task module layout is located fails or the routing of the processing unit is congested, which will cause interru

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A reconfigurable task placement method based on area first and dynamic genetic algorithm
  • A reconfigurable task placement method based on area first and dynamic genetic algorithm
  • A reconfigurable task placement method based on area first and dynamic genetic algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] like figure 1 As shown, this embodiment provides a reconfigurable task layout method based on area priority and dynamic genetic algorithm, including the following steps:

[0045] Step S101, initialize the set of task layout schemes, including the management of free areas and the layout of task modules, and manage the free areas before task module layout;

[0046] In this embodiment, the data requested by the task layout is read into the program of the reconfigurable task layout method based on area priority and dynamic genetic algorithm, the maximum number of iterations K, the population size N, and the individual P are randomly initialized i ,i=1,2...,N.

[0047] The free area refers to an enclosed area that is not covered by the task module and is not a forbidden area, and its area is the number of processing units contained therein. The management of the free area includes two processes of update and selection.

[0048] 1. The process of updating the status informat...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the technical field of task layout method for embedded software and hardware co-design, In particular, it relates to a reconfigurable task layout method based on area first and dynamic genetic algorithm. The method includes initializing task layout scheme set, including managing idle area and layout of task module. Before task module layout, idle area is managed. Dynamic stochastic genetic algorithm (DSGA) is used to solve the optimal task layout. Dynamic stochastic genetic algorithm (DSGA) adopts random crossover strategy, and dynamic factors dynamically change the crossover probability and mutation probability of the population according to the evaluation index of the current population in the iterative process to select the individuals with adaptive constraints.The global optimal layout scheme is evaluated and the global optimal solution is output. The invention is applicable to a large-scale task layout model of a network-on-chip reconfigurable system witha forbidden area, and can effectively improve the quality of the layout scheme and the system performance.

Description

technical field [0001] The invention belongs to the technical field of task layout method for embedded software and hardware collaborative design, in particular to a reconfigurable task layout method based on area priority and dynamic genetic algorithm. Background technique [0002] A partially reconfigurable system (Partial Reconfigurable System), such as a field-programmable gate array (Field-Programmable Gate Array, FPGA) based on static random access memory, can map tasks performed by hardware to reconfigurable areas and configure and remove them in real time tasks, with high efficiency and flexibility. However, reconfigurable systems introduce hardware computing resource management and task layout problems in the task compilation process, which increases the complexity of system design and application implementation to a certain extent, and has become one of the key issues in the research of partially reconfigurable systems. [0003] A bus-based reconfigurable system l...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F9/50G06N3/12
CPCG06F9/5027G06F2209/5021G06N3/126
Inventor 殷从月魏帅于洪祁晓峰张兴明宋克谭力波高彦钊
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap