Titlebook: Conquering Big Data with High Performance Computing; Ritu Arora Book 2016 Springer International Publishing Switzerland 2016 Big data.High

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978-3-319-81589-3Springer International Publishing Switzerland 2016

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,Die bunte Welt der „Ambient Intelligence“,storing large volumes of data, have enabled researchers and organizations to gather increasingly large datasets. Such vast datasets are precious due to the potential of discovering new knowledge and developing insights from them, and they are also referred to as “Big Data”. While in a large number o

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https://doi.org/10.1007/3-540-28482-6/many-core architecture, RDMA-enabled networking, and SSD) for many years. However, Big Data processing and management middleware have not fully taken advantage of such technologies. These disparities are taking HPC and Big Data processing into .. This chapter provides an overview of popular Big Dat

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,Der Markt für Unternehmensbewertungen,equire running over thousands of CPU cores and performing simultaneous data accesses, data movements, and computation. It is challenging to analyze the performance involving terabytes or petabytes of workflow data or measurement data of the executions, from complex workflows over a large number of n

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Andere Verfahren der Unternehmensbewertung, large. In this chapter, we will examine two aspects of High Performance Computing (HPC) data that fall under the category of big data. The first is the collection of HPC environmental data and its analysis. The second is the collection of information on how large datasets are produced by scientific

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