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A solution of address space overflow for large Multidimensional Arrays

机译:大型多维数组的地址空间溢出的解决方案

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We describe a novel implementation scheme of multidimensional array for handling large scale high dimensional datasets. The scheme implements a dynamic multidimensional extendible array employing a set of two dimensional extendible arrays. The multidimensional arrays provide many advantages but it has some problems as well. The Traditional Multidimensional array is not dynamic extendible. Again, if the length of dimension and number of dimension of a multidimensional array is large then the address space for the array overflows soon. In this paper, we propose a solution against the essential problem of address space overflow for handling large scale multidimensional datasets using our implementation model. We evaluate our proposed scheme by comparing with Traditional Multidimensional Array (TMA) for different operations and find a reasonable delay on address space overflow with no significant performance degradation.
机译:我们描述了一种用于处理大规模高维数据集的多维数组的新颖实现方案。该方案实现了采用一组二维可扩展阵列的动态多维可扩展阵列。多维阵列具有许多优点,但也存在一些问题。传统多维数组不是动态可扩展的。同样,如果多维数组的维数长度和维数很大,则数组的地址空间很快就会溢出。在本文中,我们针对使用我们的实现模型处理大规模多维数据集的地址空间溢出这一基本问题提出了一种解决方案。我们通过与传统多维阵列(TMA)进行比较,评估了所提出的方案的不同操作,并发现了地址空间溢出的合理延迟,而性能没有明显下降。

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