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- W2103307203 abstract "We compare two packages for performing manytask computing (MTC) in Python: IPython Parallel and Celery. We describe these packages in detail and compare their features as applied to many-task computing on a cluster, including a scaling study using over 12,000 cores and several thousand tasks. We use mpi4py as a baseline for our comparisons. Our results suggest that Python is an excellent way to manage many-task computing and that no single technique is the obvious choice in every situation." @default.
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- W2103307203 date "2013-09-01" @default.
- W2103307203 modified "2023-10-09" @default.
- W2103307203 title "The scaling of many-task computing approaches in python on cluster supercomputers" @default.
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- W2103307203 doi "https://doi.org/10.1109/cluster.2013.6702678" @default.
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