Efficient iterative processing in the SciDB parallel array engine

Emad Soroush, M. Balazinska, S. Krughoff, A. Connolly
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引用次数: 23

Abstract

Many scientific data-intensive applications perform iterative computations on array data. There exist multiple engines specialized for array processing. These engines efficiently support various types of operations, but none includes native support for iterative processing. In this paper, we develop a model for iterative array computations and a series of optimizations. We evaluate the benefits of an optimized, native support for iterative array processing on the SciDB engine and real workloads from the astronomy domain.
SciDB并行阵列引擎的高效迭代处理
许多科学数据密集型应用程序对数组数据进行迭代计算。存在多个专门用于数组处理的引擎。这些引擎有效地支持各种类型的操作,但是没有一个包含对迭代处理的本地支持。在本文中,我们建立了一个迭代阵列计算模型和一系列优化。我们评估了在SciDB引擎和天文学领域的实际工作负载上对迭代数组处理进行优化的本地支持的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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