可预测性:定义、分析和优化

Ankur Srivastava, M. Sarrafzadeh
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引用次数: 18

摘要

可预测性是对准确性的量化。我们提出了一种可预测性驱动的设计方法。新奇之处在于定义和使用可预测性的概念。为了说明基本概念,我们重点讨论了低功耗绑定问题。低功耗的绑定问题在[3],[5]中得到了解决,但由于存在不准确性,它们的最优性声明是不精确的。我们的实验表明,这些不准确性可能高达33%。我们的方法可以将这种不可预测性提高到11%,并且功耗损失最小(平均为7%)。
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Predictability: definition, ananlysis and optimization
Predictability is the quantified from of accuracy. We propose a predictability driven design methodology. The novelty lies in defining and using the idea of predictability. In order to illustrate the basic concepts we focus on the low power binding problem. The binding problem for low power was solved in [3], [5], but in the presence of in-accuracies, their claims of optimality are imprecise. Our experiments show that these inaccuracies could be as high as 33%. Our methodology could improve this unpredictability to as low as 11% with minimal power penalty (7% on average).
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