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Shared I/O Developments for Run 3 in the ATLAS Experiment
The ATLAS experiment extensively uses multi-process (MP) parallelism to maximize data-throughput especially in I/O intensive workflows, such as the production of Derived Analysis Object Data (DAOD). In this mode, worker processes are spawned at the end of job initialization, thereby sharing memory a...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.22323/1.414.0219 http://cds.cern.ch/record/2837832 |
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