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Advances in data-intensive modelling and simulation
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DOI：10.1016/j.future.2014.02.006.png)
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摘要
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This special issue renders ten original technical contributions which represent the latest trends in the emerging inter-disciplinary area of data-intensive modelling and simulation. Ranging from performance-oriented and energy-aware infrastructure support through parallel programming frameworks and scheduling heuristics to high-end applicative environments, these papers have been especially compiled into this single compendium to reflect the broad state of the art. (C) 2014 Published by Elsevier B.V.
Keyword:
Modelling
Simulation
Data-intensive applications
Big data
Parallel computing
Data analytics
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6.1
论文数:
6.8K
被引数:
2.3W
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