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data4
2011 Feb 01
1
using SNOW and clusterApplyLB to run jobs parallel
...o run it parallel with different sets of data.
Using SNOW and clusterApplyLB.
system.time(out <- mclapply(cData, plotGraph)) #each cData contains 100X6000
doubles
system.time(out <- mclapply(cData2, plotGraph))
system.time(out <- mclapply(cData3, plotGraph))
system.time(out <- mclapply(cData4, plotGraph))
system.time(out <- mclapply(cData5, plotGraph))
system.time(out <- mclapply(cData6, plotGraph))
plotGraph() <- function(cData)
{
cl = unname(cor(cData))
result = cbind(as.vector(row(cl)),as.vector(col(cl)),as.vector(cl))
result = result[result[,1] != result[,2],]
corm = res...