| 通信瓶颈下的实时并行任务分配研究 |
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| 引用本文： | 苏涛,卢刚,吴顺君.通信瓶颈下的实时并行任务分配研究[J].电路与系统学报,2004,9(6):7-12. |
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| 作者姓名： | 苏涛 卢刚 吴顺君 |
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| 作者单位： | 西安电子科技大学,雷达信号处理重点实验室,陕西,西安,710071 |
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| 基金项目： | 国防预研基金资助项目(41307010202)，总装跨行业基金资助项目(51407020201DZ0117) |
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| 摘 要： | 提出了实时并行任务粒度划分的具体设计方法，采用了系统内通信迟延最小的约束条件进行多处理器上的任务分配，解决了高速实时信号处理中的数据通信瓶颈问题。在自行设计的超立方体结构的通用信号处理机上，实现了空时二维自适应信号处理和SAR实时成像，显著减小了数据通信迟延，提高了并行效率和性价比。
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| 关 键 词： | 实时处理 通信瓶颈 任务分配 |
| 文章编号： | 1007-0249(2004)06-0007-06 |
Real time multitask allocation solution to the communication bottleneck |
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| SU Tao,LU Gang,WU Shun-jun.Real time multitask allocation solution to the communication bottleneck[J].Journal of Circuits and Systems,2004,9(6):7-12. |
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| Authors: | SU Tao LU Gang WU Shun-jun |
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| Abstract: | The task partition methods in real-time signal processing is presented, the constraints of minimizing communication delay in task allocation is proposed. The communication bottleneck in high speed real-time signal processing is resolved. The 2D space-time adaptive signal processing and real-time SAR imaging are implemented by a general purpose multiprocessor with hypercubic architecture. By means of all these proposed measures, the data communication delay can be decreased and the parallel efficiency and performance-price- radio is accordingly improved. |
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| Keywords: | real-time processing communication bottleneck task allocation |
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