search for: eberl

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2012 Aug 10
1
Performance issues with R2.15.1 built from source on Solaris
...em? On at least some SPARC systems, the "long double" type in C is implemented very slowly in software, and it seems that it is used for the sums done when calculating standard deviations with "sd". Radford Neal > Date: Wed, 8 Aug 2012 18:55:37 -0500 > From: "Eberle, Anthony" <aeber at allstate.com> > To: <r-devel at r-project.org> > Subject: [Rd] Performance issues with R2.15.1 built from source on > Solaris? > I have a question about building R (2.15.1) from source on a Solaris 10 > 64bit virtual server with 2 cores and 16G...
2012 Sep 16
2
Question about R performance on UNIX/LINUX with different memory/swap configurations
Does anyone have any guidance on swap and memory configuration when running R v2.15.1 on UNIX/LINUX? Through some benchmarking across multiple hardware (UNIX, LINUX, SPARC, x86, Windows, physical, virtual) it "seems" that the smaller memory machines have an advantage. Typically my organization builds their UNIX servers at a 1:1 physical memory:swap configuration. We plan on running
2012 Sep 16
2
Where is the R configuration file or how to override R compilers
I have a question about how one can modify or override the compilers that R uses for package installations? Or if perhaps this configuration is in some editable file somewhere. Initially I built the version of R 2.15.1 on Solaris SPARC (virtual T4), but found out the build was done as 32 bit. After some research, I found that the pre-compiled GCC version I had only allowed for 32 bit. I wanted
2012 Aug 08
1
Question about R and multiple CPU's
I have a question about multiple cores and CPU's for running R. I've been running various tests on different types of hardware and operating systems (64 bit, 32 bit, Solaris, Linux, Windows, RV.10, .12, .15, .15.1.) Generally speaking, it seems that for a single user and process that R prefers to have as much resources as possible; especially memory. I've looked at some of the r-sig
2012 Aug 08
0
Performance issues with R2.15.1 built from source on Solaris?
I have a question about building R (2.15.1) from source on a Solaris 10 64bit virtual server with 2 cores and 16GB memory that is running on an Oracle T4 server. Based on several tests I have done this configuration has been several orders of magnitude slower than any other configuration I've tested. A simple test of some code to calculate the standard deviation 10000 times (simple code to