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parallelize.dynamic (version 0.9-1)

Automate parallelization of function calls by means of dynamic code analysis

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.

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Install

install.packages('parallelize.dynamic')

Monthly Downloads

16

Version

0.9-1

License

LGPL

Maintainer

Stefan Boehringer

Last Published

May 22nd, 2013

Functions in parallelize.dynamic (0.9-1)

LapplyExecutionState-class

Class "LapplyExecutionState"
LapplyProbeState-class

Class "LapplyProbeState"
ParallelizeBackendLocal-class

Class "ParallelizeBackendLocal"
LapplyPersistentFreezer-class

Class "LapplyPersistentFreezer"
parallelize.dynamic-package

Automate parallelization of function calls by means of dynamic code analysis
LapplyFreezer-class

Class "LapplyFreezer"
ParallelizeBackendSnow-class

Class "ParallelizeBackendSnow"
readFile

Read content of file and return as character object.
Log

Log a message to stderr.
LapplyRunState-class

Class "LapplyRunState"
LapplyState-class

Class "LapplyState"
parallelize_setEnable

Turn on/off the parallelization mechanism
parallelize

Subject a function to dynamic parallelization
tempcodefile

Create a temporary file that contains the function definition of the argument.
ParallelizeBackend-class

Class "ParallelizeBackend"
parallelize_initialize

Initialize dynamic parallelization of ensuing parallelize calls
ParallelizeBackendOGS-class

Class "ParallelizeBackendOGS"
Apply

Expose an apply-loop to parallelization
ParallelizeBackendOGSremote-class

Class "ParallelizeBackendOGSremote"