parallelize.dynamic-package: Automate parallelization of function calls by means of...
In parallelize.dynamic: Automate parallelization of function calls by means of dynamic code analysis
Description
Details
Author(s)
References
See Also
Description
Passing a given function name or a call to the parallelize/parallelize_call functions analyses and executes the code, if possible in parallel. Parallel code execution can be performed locally or on remote batch queuing systems.
Details
Package: parallelize.dynamic
Type: Package
Version: 0.9
Date: 2012-12-12
License: LGPL
Depends: methods, tools, parallel
Use parallelize_initialize to set up a configuration for performing parallel computations. After that, you can use parallelize and parallelize_call to run a dynamic analysis on given functions or function calls and execute parallel jobs resulting from this analysis.
For the remote backend OGSremote, the current implmentation is expected to break on machines running operating systems from the Windows family on account of dependencies on system calls. The local backend snow should work on Windows. Patches are welcome to solve any Windows issues.
Author(s)
Stefan Böhringer
Maintainer: Stefan Böhringer <r-packages@s-boehringer.org>
References
R Journal article "Dynamic parallelization of R functions", submitted
See Also
parallelize.dynamic documentation built on May 2, 2019, 3:45 a.m.
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Description Details Author(s) References See Also
Description
Passing a given function name or a call to the parallelize/parallelize_call functions analyses and executes the code, if possible in parallel. Parallel code execution can be performed locally or on remote batch queuing systems.
Details
| Package: | parallelize.dynamic |
| Type: | Package |
| Version: | 0.9 |
| Date: | 2012-12-12 |
| License: | LGPL |
| Depends: | methods, tools, parallel |
Use parallelize_initialize to set up a configuration for performing parallel computations. After that, you can use parallelize and parallelize_call to run a dynamic analysis on given functions or function calls and execute parallel jobs resulting from this analysis.
For the remote backend OGSremote, the current implmentation is expected to break on machines running operating systems from the Windows family on account of dependencies on system calls. The local backend snow should work on Windows. Patches are welcome to solve any Windows issues.
Author(s)
Stefan Böhringer
Maintainer: Stefan Böhringer <r-packages@s-boehringer.org>
References
R Journal article "Dynamic parallelization of R functions", submitted
See Also
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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