[R] "Fast" correlation algorithm

[jastar]

Hi,
Is in R any "fast" algorithm for correlation?
What I mean is:
I have very large dataset (microarray) with 55000 rows and 100 columns. I
want to count correlation (p-value and cor.coef) between each row of dataset
and some vector (of course length of this vector is equal to number of
columns of dataset).
In short words:
For t-test we have:
"normal" algorithm - t.test
"fast" algorithm - rowttests
For correlation:
"normal" algorithm - cor.test
"fast" algorithm - ???

Thank's for help
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