Several existing packages provide a more consistent interface to parallel computation.
Landau's drake provides task parallelism similar to GNU make.
Bengstton's futures provides a mechanism for parallel asynchronous evaluation of R code across different systems.
Bischl and Lang's
parallelMap provides a
parallel version of Map()
supporting different execution backends
including local, multicore, mpi and BatchJobs. The
batchtools package
supports HPC systems.
Böhringer's
parallelize.dynamic
provides the parallelize_call()
function to dynamically parallelize a
single function call.
Wang's valor vectorizes lapply
calls
into single function calls. In some sense this is the most related project,
because the main purpose of valor is to actually transform code.
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