Hello,
Sorry if this question has been posted before but could't find out
exactly an answer to the question....
I'm doing bioinformatics and doing small RNA sequencing that make use of
packages such as DESeq and EDGE. For those familiar with this data you
will notice that you end up having large matrices with millions of
entries. So i guess many people might be facing the same problem of
dealing with so big matrices. and vectors.
I've heard of people using other math libraries (since the default R
math lib is single core). to compile R and make it use several procs on
the server. I'm not familiar with the different math libs availables
(BLAS,..)
Can i use faster math libraries so that R uses the full procs capacities
of my server ?
I'm running 2.12.2 on an linux server (16cpu with 32Gb ram).
thanks for your tips,
david
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