首页 | 本学科首页   官方微博 | 高级检索  
     检索      

MPSoC软硬件划分的自动波竞争神经网络算法
引用本文:常政威,谢晓娜,桑楠,熊光泽.MPSoC软硬件划分的自动波竞争神经网络算法[J].电子科技大学学报(社会科学版),2010(5).
作者姓名:常政威  谢晓娜  桑楠  熊光泽
作者单位:四川电力试验研究院;电子科技大学计算机科学与工程学院;郑州大学体育学院;
基金项目:国家863计划(2006AA01Z173,2007AA01Z131)
摘    要:针对基于可重用组件的MPSoC软硬件划分问题,提出了一种采用自动波竞争神经网络的优化算法。先将软硬件划分问题转化为图论中的多约束最短路径问题,然后重新设计神经网络中的自动波机制,从组件库中为系统中的每个任务模块选择合适的软件构件或IP核,在系统成本和实时性约束下,使得MPSoC功耗最优。该算法具有并行化、无参数、易于硬件实现的特点,可获得MPSoC软硬件划分问题的最优解。

关 键 词:自动波竞争神经网络  组件  软硬件划分  多约束最短路径  多处理器片上系统  

Hardware-Software Partitioning of MPSoC Using Autowave Competition Neural Networks
CHANG Zheng-wei,XIE Xiao-na,SANG Nan, XIONG Guang-ze.Hardware-Software Partitioning of MPSoC Using Autowave Competition Neural Networks[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2010(5).
Authors:CHANG Zheng-wei  XIE Xiao-na    SANG Nan    XIONG Guang-ze
Institution:CHANG Zheng-wei1,XIE Xiao-na2,3,SANG Nan2,, XIONG Guang-ze2 (1.Sichuan Electric Power Test , Research Institute Chengdu 610072,2.School of Computer Science , Engineering,University of Electronic Science , Technology of China Chengdu 610054,3.Physical Education College,Zhengzhou University Zhengzhou 450044)
Abstract:A hardware-software partitioning algorithm using autowave competition neural networks is proposed for MPSoCs based on reusable components.The partitioning problem is formulated as a multiconstrained shortest path problem.The autowaves are designed specially to allocate a software component or IP core to each task module from a components library,such that the power consumption of the MPSoC is minimized subject to cost and timing constraints.This algorithm could obtain the globally optimal solution,and it is...
Keywords:autowave competition neural networks  component  hardware-software partitioning  multi-constrained shortest path  multiprocessor system-on-chip  
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号