Hello all,
I came
across<http://www.r-bloggers.com/performance-benefits-of-linking-r-to-multithreaded-math-libraries/>
David
Smith's new post
Performance benefits of linking R to multithreaded math
libraries<http://blog.revolutionanalytics.com/2010/06/performance-benefits-of-multithreaded-r.html>
Which explains how (and why) REvolution distribution of R uses
different BLAS math libraries for R, so to
allow multi-threaded mathematical computation.
What the post doesn't explain is why it is that native R distribution
doesn't use the multi-threaded version of the libraries. Is it because
R-devel team didn't get to it yet or is it for some technical reason.
Could someone please help to explain the situation?
Thanks in advance,
Tal
p.s: I wasn't sure if to send the question here or to R-devel, I decided to
send it here. If I am in the wrong - please let me know.
----------------Contact
Details:-------------------------------------------------------
Contact me: tal.gal...@gmail.com | 972-52-7275845
Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) |
www.r-statistics.com (English)
----------------------------------------------------------------------------------------------
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
