Evaluate arbitrary function calls using workers on HPC schedulers in single line of code. All processing is done on the network without accessing the file system. Remote schedulers are supported via SSH.
Version: 0.9.9 Depends: R (≥ 3.6.2) Imports: methods, globals, progress, R6, Rcpp, utils LinkingTo: Rcpp Suggests: BiocParallel, callr, devtools, foreach, iterators, knitr, parallel, rmarkdown, roxygen2 (≥ 5.0.0), testthat, tools Published: 2025-04-20 DOI: 10.32614/CRAN.package.clustermq Author: Michael Schubert [aut, cre, cph], ZeroMQ authors [aut, cph] (source files in 'src/libzmq' and 'src/cppzmq') Maintainer: Michael Schubert <mschu.dev at gmail.com> BugReports: https://github.com/mschubert/clustermq/issues License: Apache License (== 2.0) | file LICENSE URL: https://mschubert.github.io/clustermq/ NeedsCompilation: yes SystemRequirements: ZeroMQ (libzmq) >= 4.3.0 (optional; otherwise bundled) Citation: clustermq citation info Materials: README NEWS In views: HighPerformanceComputing CRAN checks: clustermq resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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