Celery: Distributed Task Queue. Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on a single or more worker servers using multiprocessing, Eventlet, or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready).
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- P.E. Hadjidoukas, A. Bartezzaghi, F. Scheidegger, R. Istrate, C.Bekas, A.C.I. Malossi: torcpy: Supporting task parallelism in Python (2020) not zbMATH
- Sandeep Singh Sandha, Mohit Aggarwal, Igor Fedorov, Mani Srivastava: MANGO: A Python Library for Parallel Hyperparameter Tuning (2020) arXiv
- Giovanni Pizzi, Andrea Cepellotti, Riccardo Sabatini, Nicola Marzari, Boris Kozinsky: AiiDA: Automated Interactive Infrastructure and Database for Computational Science (2015) arXiv