Jole: a library for dynamic job-level parallel workloads
Problems in scientific computing often consist of a workload of jobs with dependencies between them. Batch schedulers are job-oriented, and are not well-suited to executing these workloads with complex dependencies. We introduce Jole, a Python library created to run these workloads. Jole has three...
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| Format: | Others |
| Language: | en |
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2009
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| Online Access: | http://hdl.handle.net/10048/727 |