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  "Description": "In computationally demanding analysis projects,\nstatisticians and data scientists asynchronously deploy\nlong-running tasks to distributed systems, ranging from\ntraditional clusters to cloud services. The 'NNG'-powered\n'mirai' R package by Gao (2023) <doi:10.5281/zenodo.7912722> is\na sleek and sophisticated scheduler that efficiently processes\nthese intense workloads. The 'crew' package extends 'mirai'\nwith a unifying interface for third-party worker launchers.\nInspiration also comes from packages. 'future' by Bengtsson\n(2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton\n(2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by\nSchubert (2019) <doi:10.1093/bioinformatics/btz284>), and\n'batchtools' by Lang, Bischel, and Surmann (2017)\n<doi:10.21105/joss.00135>.",
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