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doMC vs doSNOW vs doSMP vs doMPI:为什么'foreach'的各种并行后端功能不相同?

我已经在各种机器上运行了一些代码测试代码,总是得到相同的结果.我认为各种do ...包背后的哲学是它们可以互换地用作foreach的%dopar%的后端.为什么不是这样?

例如,此代码段有效:

library(plyr)
library(doMC)
registerDoMC()
x <- data.frame(V= c("X", "Y", "X", "Y", "Z" ), Z = 1:5)
ddply(x, .(V), function(df) sum(df$Z),.parallel=TRUE)
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虽然这些代码段中的每一个都失败了:

library(plyr)
library(doSMP)
workers <- startWorkers(2)
registerDoSMP(workers)
x <- data.frame(V= c("X", "Y", "X", "Y", "Z" ), Z = 1:5)
ddply(x, .(V), function(df) sum(df$Z),.parallel=TRUE) 
stopWorkers(workers)

library(plyr)
library(snow)
library(doSNOW)
cl <- makeCluster(2, type = "SOCK")
registerDoSNOW(cl)
x <- data.frame(V= c("X", "Y", "X", "Y", "Z" ), Z = 1:5)
ddply(x, .(V), function(df) sum(df$Z),.parallel=TRUE) 
stopCluster(cl)

library(plyr)
library(doMPI)
cl <- startMPIcluster(count = 2) …
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parallel-processing r plyr domc

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