Riding the Elephant: Managing Ensembles with Hadoop

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Provided by: Association for Computing Machinery
Topic: Big Data
Format: PDF
Many important scientific applications do not t the traditional model of a monolithic simulation running on thousands of nodes. Scientific work flows - such as the materials genome project, energy frontiers research center for gas separations relevant to clean energy technologies, climate simulations, and uncertainty quantification in fluid and solid dynamics - all run large numbers of parallel analyses, which the authors call scientific ensembles. These scientific ensembles have a large number of tasks with control and data dependencies.
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