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A solution of address space overflow for large Multidimensional Arrays

机译:用于大型多维数组的地址空间溢出解决方案

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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:我们描述了用于处理大规模高维数据集的多维阵列的新颖实现方案。该方案实现了采用一组二维扩展阵列的动态多维扩展阵列。多维阵列提供了许多优点,但它也存在一些问题。传统的多维阵列不是动态延伸的。同样,如果多维阵列的维度和维数的长度大,则阵列的地址空间很快溢出。在本文中,我们提出了一种解决方案,用于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的基本问题。我们通过与传统的多维阵列(TMA)与不同操作进行比较来评估我们提出的方案,并在地址空间溢出上找到合理的延迟,没有显着的性能下降。

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