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A Different Re-execution Speed Can Help

机译:不同的重新执行速度可以提供帮助

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摘要

We consider divisible load scientific applications executing on large-scale platforms subject to silent errors. While the goal is usually to complete the execution as fast as possible in expectation, another major concern is energy consumption. The use of dynamic voltage and frequency scaling (DVFS) can help save energy, but at the price of performance degradation. Consider the execution model where a set of K different speeds is given, and whenever a failure occurs, a different re-execution speed may be used. Can this help? We address the following bi-criteria problem: how to compute the optimal checkpointing period to minimize energy consumption while bounding the degradation in performance. We solve this bi-criteria problem by providing a closed-form solution for the checkpointing period, and demonstrate via a comprehensive set of simulations that a different re-execution speed can indeed help.
机译:我们考虑在大规模平台上执行的可分的载荷科学应用,受到静音错误。虽然目标通常在期望尽可能快地完成执行,但另一个主要关注的是能耗。使用动态电压和频率缩放(DVFS)可以帮助节省能源,但在性能下降的价格下。考虑给出了一组K不同速度的执行模型,并且每当发生故障时,可以使用不同的重新执行速度。这可以帮忙吗?我们解决以下双标准问题:如何计算最佳检查点,以最大限度地减少能源消耗,同时涉及性能下降。我们通过为检查点期提供闭合状态解决方案来解决这一双标准问题,并通过一系列综合模拟来展示不同的重新执行速度确实有所帮助。

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