Dealing with large datasets

I am trying to perform correlation on a large dataset of over 100,000 columns and subseting and parallelization is not working, is there any other method that i can try?

Are these columns all numeric variables? About how many rows? Are you looking to do pairwise cor(d[,1],d[,2]) \dots cor(d[,n-1],cor[,n]?

How many paring combinations are there over 100,000 possible pair inputs...

# 4999950000

this is 4,999,950,000 or 5billion.
Its asking to do a lot of work

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