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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/1501.01678 |
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| _version_ | 1866910283786616832 |
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| author | Zhang, Changwang Zhou, Shi Chain, Benjamin M. |
| author_facet | Zhang, Changwang Zhou, Shi Chain, Benjamin M. |
| contents | LeoTask is a Java library for computation-intensive and time-consuming research tasks. It automatically executes tasks in parallel on multiple CPU cores on a computing facility. It uses a configuration file to enable automatic exploration of parameter space and flexible aggregation of results, and therefore allows researchers to focus on programming the key logic of a computing task. It also supports reliable recovery from interruptions, dynamic and cloneable networks, and integration with the plotting software Gnuplot. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1501_01678 |
| institution | arXiv |
| publishDate | 2015 |
| record_format | arxiv |
| spellingShingle | LeoTask: a fast, flexible and reliable framework for computational research Zhang, Changwang Zhou, Shi Chain, Benjamin M. Software Engineering Artificial Intelligence Distributed, Parallel, and Cluster Computing Programming Languages LeoTask is a Java library for computation-intensive and time-consuming research tasks. It automatically executes tasks in parallel on multiple CPU cores on a computing facility. It uses a configuration file to enable automatic exploration of parameter space and flexible aggregation of results, and therefore allows researchers to focus on programming the key logic of a computing task. It also supports reliable recovery from interruptions, dynamic and cloneable networks, and integration with the plotting software Gnuplot. |
| title | LeoTask: a fast, flexible and reliable framework for computational research |
| topic | Software Engineering Artificial Intelligence Distributed, Parallel, and Cluster Computing Programming Languages |
| url | https://arxiv.org/abs/1501.01678 |