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Latency-constrained resynchronization for multiprocessor DSP implementation

机译:多处理器DSP实现的延迟约束重新同步

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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:重新同步是静态多处理器调度的优化后,以这样的方式引入外来同步操作,使得因此变得冗余的原始同步的数量显着超过附加同步的数量。冗余同步是同步操作,其相应的排序要求完全由系统中的其他同步强制执行。通过消除冗余同步,可以显着降低同步所需的运行时间开销。但是,由于通过新同步施加了额外的序列化,因此重新同步可以产生显着增加延迟。本文解决了计算最佳重新同步的问题(一个导致在所有重新同步中都必须执行同步操作的最低平均速率的问题,这些重新同步在不增加预定的上限L / SUB Max / Sum / Sum / sum的延迟中。我们的研究基于迭代数据流程的自定时执行的背景,这是用于广泛应用于数字信号处理系统的实现模型。

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