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ATLAS Event Data Organization and I/O Framework Capabilities in Support of Heterogeneous Data Access and Processing Models
Choices in persistent data models and data organization have significant performance ramifications for data-intensive scientific computing. In experimental high energy physics, organizing file-based event data for efficient per-attribute retrieval may improve the I/O performance of some physics anal...
Autores principales: | Malon, David, Cranshaw, Jack, van Gemmeren, Peter, Nowak, Marcin |
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Lenguaje: | eng |
Publicado: |
2016
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2231598 |
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