为特定领域的应用程序推导数据流网络

G. Garcea
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引用次数: 0

摘要

特定于应用领域的处理器正变得越来越有吸引力,因为它们在单个架构可以执行的算法数量方面具有独特的灵活性,并且由于并行性的增加而可能提高计算能力。具体选择的领域是在雷达信号自适应波束形成领域中经常使用的雅可比算法族。所选择的体系结构应该是弱可编程的。这个想法是以一种系统的方式推导出一个控制程序,下载到处理器的模拟器上,以获得关于每个算法执行性能的定量信息。此外,由于雅可比算法的特殊结构,从定性的角度出发,采用了一些改进并行化执行的技术。
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Derivation of dataflow networks for a domain specific applications
Application domain specific processors are becoming more and more appealing because of their peculiar feature of flexibility in terms of number of algorithms which one single architecture can execute and also in terms of the possible computational improvement due to the increase of parallelism. The specific domain chosen is the family of Jacobi algorithms which are often used in the field of adaptative beamforming of radar signals. The architecture chosen should be weakly programmable. The idea is to derive in a systematic way a control program to be downloaded on a simulator of the processor to obtain quantitative information about the performance on the execution of every algorithm. Moreover some techniques to improve, from a qualitative point of view, the parallelization of execution are applied, suggested by the particular structure of the Jacobi algorithms.
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