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Latency-constrained resynchronization for multiprocessor DSP implementation

机译:用于多处理器DSP实现的延迟受限的重新同步

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Resynchronization is a post-optimization for static multiprocessor schedules in which extraneous synchronization operations are introduced in such a way that the number of original synchronizations that consequently become redundant significantly exceeds the number of additional synchronizations. Redundant synchronizations are synchronization operations whose corresponding sequencing requirements are enforced completely by other synchronizations in the system. The amount of run-time overhead required for synchronization can be reduced significantly by eliminating redundant synchronizations. However, since additional serialization is imposed by the new synchronizations resynchronization can produce significant increase in latency. This paper addresses the problem of computing an optimal resynchronization (one that results in the lowest average rate at which synchronization operations have to be performed) among all resynchronizations that do not increase the latency beyond a prespecified upper bound L/sub max/. Our study is based on the context of self-timed execution of iterative data flow programs, which is an implementation model that has been applied extensively for digital signal processing systems.
机译:重新同步是针对静态多处理器计划的后优化,其中以这样的方式引入无关的同步操作:原始同步的数量因此变得多余,从而大大超过了其他同步的数量。冗余同步是其相应的排序要求完全由系统中的其他同步强制执行的同步操作。通过消除冗余同步,可以大大减少同步所需的运行时开销。但是,由于新同步施加了额外的序列化,因此重新同步可能会导致延迟显着增加。本文解决了在所有重新同步中计算最佳重新同步(导致必须以最低的平均速率执行同步操作)的问题,该重新同步不会增加等待时间超出预定的上限L / sub max /。我们的研究基于迭代数据流程序的自定时执行,这是一种已广泛应用于数字信号处理系统的实现模型。

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