分布式嵌入式系统的灵敏度驱动协同合成

Ti-Yen Yen, W. Wolf
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引用次数: 54

摘要

描述了一种新的、灵敏度驱动的实时分布式嵌入式系统协同合成算法。许多嵌入式计算系统是分布式系统:通过通信链路连接的多个cpu / asic上执行周期性通信进程。我们使用性能估计来计算设计对过程分配的局部敏感性。我们提出了一种优先级预测方法来调度进程。在这些技术的基础上,我们开发了一种梯度搜索算法,该算法可以协同合成任意拓扑的异构分布式系统及其应用软件体系结构。实验结果表明,该算法可以在较少的CPU时间内找到较好的实现架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensitivity-driven co-synthesis of distributed embedded systems
Describes a new, sensitivity-driven algorithm for the co-synthesis of real-time distributed embedded systems. Many embedded computing systems are distributed systems: communicating periodic processes executing on several CPUs/ASICs connected by communication links. We use performance estimates to compute a local sensitivity of the design to process allocation. We propose a priority prediction method to schedule processes. Based on these techniques, we develop a gradient-search algorithm which co-synthesizes heterogeneous distributed systems of arbitrary topology and the associated application software architecture. Experimental results show that our algorithm can find good implementation architectures in small amounts of CPU time.
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