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Showing posts from November, 2011

Calling NAG routines from R

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R is a widely-used environment for statistical computing and data analysis. It is one of the modern implementations of the S programming language (i.e. much code written in S will run unaltered in R) although its underlying semantics are derived from Scheme. R is Free Software.

The capabilities of R can be extended through the use of add-on packages and a large number of these are available from the Comprehensive R Archive Network (CRAN). Some users have expressed an interest in calling NAG Library routines from within R; accordingly, we have recently created a package which provides access to some of NAG's numerical functionality. More specifically, the NAGFWrappers R package contains the local and global optimization chapters of the NAG Fortran Library, together with a few nearest correlation matrix solvers and some other simpler routines. The package incorporates documentation in the so-called Rdoc style that will automatically produce help pages within the R system (see f…

SC11 diary catch up

I posted here a week or two ago about my diary leading up to the year's biggest supercomputing event - SC11 in Seattle. I though it would be handy to give a quick summary of the diary entries so far for those who haven't been reading along.

If you recall, I said: "On my twitter stream (@hpcnotes), I described it as: "the world of #HPC in one week & one place but hard to find time for all of technical program + exhibition + customer/partner/supplier meetings + social meetings + sleep!" To follow the news about SC11 on twitter, follow @supercomputing and/or the #SC11 hashtag."

"Any hope of "live" blogging or actively tweeting during the week of SC11 itself is almost nil - the week is just too busy with the day job. Even simply consuming the relevant news, comment and gossip is a challenge."

"So instead I am going to try to write a diary of the lead up to SC11."

If you've missed them, here are the 8 SC11 blogs so far:

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