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OAR: versatile resource and job manager for cluster (third generation)
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Contributors
9
Lines of Code
5,615
From
2014-11-04
To
2020-07-23
About oar-team/oar3
OAR is a versatile resource and job manager designed for HPC clusters and experimental computing infrastructures where flexibility is essential. As a batch scheduler, it manages the allocation of computing resources and the execution of jobs across distributed systems. The project is built in Python and represents the third generation of the OAR scheduler, released under the GPL-2.1 license.
The software provides core scheduling and resource management capabilities needed to operate large-scale computing environments. OAR handles job queuing, resource allocation, and workload distribution across cluster nodes, making it suitable for both traditional high-performance computing deployments and more experimental testbed scenarios where non-standard resource configurations may be required. The project maintains active development with continuous integration testing and comprehensive documentation available through ReadTheDocs.