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- W2615272093 abstract "This works demonstrates how the OpenMOLE platform can provide a straightforward way to distribute heavy workloads generated by medical imaging analysis. OpenMOLE allows its users to benefit from a large set of distributed computing infrastructures such as clusters or com-puting grids, no matter the kind of application they are running. Here we extend the OpenMOLE tools to two new cluster job schedulers: SLURM and Condor. We also contribute to the Yapa pack-aging tool to support the widely spread virtual environment package from the Python programming language. Our test case shows how our developments allow a medical imaging application to be distributed using the OpenMOLE toolkit." @default.
- W2615272093 created "2017-05-26" @default.
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- W2615272093 date "2014-09-14" @default.
- W2615272093 modified "2023-10-14" @default.
- W2615272093 title "OpenMOLE: a Workflow Engine for Distributed Medical Image Analysis" @default.
- W2615272093 hasPublicationYear "2014" @default.
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