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An holistic approach for high-level programming of next-generation data-intensive applications targeting distributed heterogeneous computing environment

机译:一种针对分布式异构计算环境的下一代数据密集型应用程序的高级编程的整体方法

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摘要

Data-intensive applications are one of the largest customers of high throughput computing environments. As clearly shown by the BigData raise, there is a widely recognised urge for processing large amount of data, universallyconsidered the "new oil", from which to extract wisdom, knowledge and, more in general, information of very different kinds, ranging from commercial to financial, from medical to political hints. This extreme intrinsic richness andheterogeneity of data is paired with the extreme complexity in its storing and processing.
机译:数据密集型应用程序是高吞吐量计算环境的最大客户之一。从BigData的筹款中可以清楚地看出,人们普遍认为处理大量数据的冲动被普遍认为是“新石油”,从中可以提取智慧,知识以及更广泛的信息,从商业到商业。从医学到政治暗示,再到财务。数据的这种极端固有的丰富性和异质性与存储和处理过程中的极端复杂性相匹配。

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