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Optimization strategies of stack control

机译:堆栈控制的优化策略

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This paper concerns issues related to building mathematical models and optimal algorithms of stacks [1] control in single-and two-level memory. These models were constructed as 1, 2 and 3 dimensional random walks. In our opinion the algorithms, constructed for concrete data structure, will work better, than universal replacement algorithms in paging virtual and cache-memory. It was confirmed by the practice of construction of stack computers [1].Some scientists think, that non-Merkov model is more exact model of stacks behavior[12]. In [13] we have studied models, which include the possibility that, probabilities of the operations depend on the operations performed at the previous step. We can't include this models to the paper because of its small volume. On the other hand Ertl's finding concerns only particular application of stacks - stack caching for interpreters. It is very important, but there are many other applications of stacks. For example recursive algorithms, computer graphics, systemtables and many other, when dynamic allocation of stacks after compilation(in the time of program running) it requires.This research work was supported by the Russian Foundation for Fundamental Research. grant 01-01-00113.
机译:本文涉及与在单级和二级存储中建立数学模型和堆栈[1]控制的最佳算法有关的问题。这些模型被构建为1、2和3维随机游动。我们认为,针对具体数据结构构建的算法比分页虚拟和高速缓存中的通用替换算法更好。构造堆栈计算机的实践证实了这一点[1]。一些科学家认为,非梅尔科夫模型是更精确的堆栈行为模型[12]。在[13]中,我们研究了模型,其中包括操作的概率取决于在上一步执行的操作的可能性。由于其体积小,我们无法将此模型包括在论文中。另一方面,Ertl的发现仅涉及堆栈的特定应用-解释器的堆栈缓存。这很重要,但是堆栈还有许多其他应用程序。例如递归算法,计算机图形学,系统表等,在编译后(在程序运行时)动态分配堆栈时需要它。这项研究工作得到了俄罗斯基础研究基金会的支持。授予01-01-00113。

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