A Comparative Survey of the HPC and Big Data Paradigms: Analysis and Experiments

Abstract

Many scientific data analytic applications need huge amounts of input, which can often consist of more than several TBs of data. This emphasizes the high I/O and processing/computational cost requirements of these algorithms. Tasks in these programs can induce more I/O operations than computations or the opposite. Hardware also includes nodes with large… (More)
DOI: 10.1109/CLUSTER.2016.21

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