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引用次数: 1

摘要

程序优化的一种形式是向状态添加新变量,以及操作这些新变量的代码。当新变量和相关计算代码的添加以一种防止程序的旧计算受到干扰的方式完成时,作者称之为叠加。他在构建并行程序的背景下研究叠加,遵循逐步细化的方法,其中每一步增加的计算可以由整个并行算法组成。因此,找到既易于使用又能保证操作正确性的方法是很重要的。能够将一个算法(如终止检测算法)叠加到几个不同的原始算法上也很重要。因此,他给出了一种定义和使用这种可叠加模块的方法。
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A formalization of superposition refinement
One form of program refinement is to add new variables to the state, together with code that manipulates these new variables. When the addition of new variables and associated computation code is done in a way that prevents the old computation of the program from being disturbed, then the author calls it superpositioning. He studies superposition in the context of constructing parallel programs following the stepwise refinement approach, where the added computation in each step could consist of an entire parallel algorithm. Hence, it is important to find methods that are easy to use and also guarantee the correctness of the operation. It is also important be able to superpose one algorithm, like a termination detection algorithm, onto several different original algorithms. He therefore gives a method for defining and using such superposable modules.<>
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