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Performance modeling of positive degraded task-pair with helper-thread in CMP

机译:CMP中带有助手线程的正向降级任务对的性能建模

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摘要

Helper-thread of a task can hide the memory access time of irregular data on the chip muhi-core processor (CMP). For constructing a compiler that effectively supports the helper-thread of a task in the multi-core scenario based on the last level shared cache, this paper studies its performance stable conditions. Unfortunately, there is no existing model that allows extensive investigation of the impact of stable conditions, we present the base of pre-computation that is formalized by our degraded task-pair < T, T' >with the helper-thread, and its stable conditions are analyzed. Finally, a novel performance model and a constructing method of pre-computation based on our positive degraded task-pair are proposed. The efficient results are shown by our experiments. If we further exploit memory level parallelism (MLP) for our task-pair, the task-pair < T, T' > can reach better performance.
机译:任务的辅助线程可以隐藏芯片多核处理器(CMP)上不规则数据的内存访问时间。为了构建基于最后一级共享缓存的多核方案中有效支持任务助手线程的编译器,本文研究了其性能稳定条件。不幸的是,没有现成的模型可以广泛研究稳定条件的影响,我们提供了预计算的基础,该基础是通过我们的带有辅助线程的降级任务对进行形式化的,它是稳定的条件进行了分析。最后,提出了一种基于我们积极降级的任务对的新型性能模型和预计算的构造方法。我们的实验表明了有效的结果。如果我们进一步为任务对开发内存级别并行性(MLP),则任务对可以达到更好的性能。

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