schedule: Schedule Dependency Graph

In clarkfitzg/codedoctor: Transform Serial R Code into Parallel R Code

Description

Creates the schedule for a dependency graph. The schedule is the assignment of the expressions to different processors at different times. There are many possible scheduling algorithms. The default is mapSchedule, which does simple map parallelism using R's apply family of functions.

Usage

schedule(graph, data, platform, ...)

## S4 method for signature 'GeneratedCode'
schedule(graph, data, platform, ...)

## S4 method for signature 'TaskGraph'
schedule(graph, data, platform = Platform(),
  nWorkers = platform@nWorkers, chunkFuncs = character(),
  reduceFuncs = list(), knownReduceFuncs = getKnownReduceFuncs(),
  knownChunkFuncs = getKnownChunkFuncs(),
  allChunkFuncs = c(knownChunkFuncs, chunkFuncs))

Arguments

graph	TaskGraph, code dependency graph
data	list of data descriptions. Each element is a DataSource. The names of the list elements correspond to the variables in the code that these objects are bound to.
platform	Platform describing resource to compute on
...	additional arguments to schedule methods

References

See Task Scheduling for Parallel Systems, Sinnen, O. for a thorough treatment of what it means to have a valid schedule.

clarkfitzg/codedoctor documentation built on Nov. 18, 2020, 4:34 p.m.