Dear all, I have a problem with R 2.31-patched from http://R.research.att.com/. I am using Lion 10.7.1 I did a fresh install of R and I checked that the BLAS library is linked to vecLib. However the following simple code halt on my machine. a <- matrix(rnorm(640 * 640), ncol = 640) b <- eigen(a) This should take less than a second. However after an hour R is still halted. I tried a few more times it is reproducible on my machine. I then built R my self, linked to vecLib, and using Lion's system default tools. The build passed check and the code above runs without a problem. I am not sure what is wrong here. The machine I am using is a Mid-2010 MacBook Pro 15", Core i7 2.66GHz. Does anyone has the same problem or it is that there's something wrong with my machine only? Best regards, Yan Zhou
R 2.13.1-patched, vecLib problem on Lion
6 messages · Federico Calboli, Yan Zhou, Berend Hasselman
On 19 Aug 2011, at 21:06, Yan Zhou wrote:
Dear all, I have a problem with R 2.31-patched from http://R.research.att.com/. I am using Lion 10.7.1 I did a fresh install of R and I checked that the BLAS library is linked to vecLib. However the following simple code halt on my machine. a <- matrix(rnorm(640 * 640), ncol = 640) b <- eigen(a)
I can reproduce the problem running the code above. ls -l /Library/Frameworks/R.framework/Resources/lib/libRblas.dylib points to libRblas.vecLib.dylib F -- Federico C. F. Calboli Department of Epidemiology and Biostatistics Imperial College, St. Mary's Campus Norfolk Place, London W2 1PG Tel +44 (0)20 75941602 Fax +44 (0)20 75943193 f.calboli [.a.t] imperial.ac.uk f.calboli [.a.t] gmail.com
On 19 Aug 2011, at 21:06, Yan Zhou wrote:
Dear all, I have a problem with R 2.31-patched from http://R.research.att.com/. I am using Lion 10.7.1 I did a fresh install of R and I checked that the BLAS library is linked to vecLib. However the following simple code halt on my machine. a <- matrix(rnorm(640 * 640), ncol = 640) b <- eigen(a)
I'd like to add that after: cd /Library/Frameworks/R.framework/Resources/lib ln -sf libRblas.0.dylib libRblas.dylib the test above runs fine. F -- Federico C. F. Calboli Department of Epidemiology and Biostatistics Imperial College, St. Mary's Campus Norfolk Place, London W2 1PG Tel +44 (0)20 75941602 Fax +44 (0)20 75943193 f.calboli [.a.t] imperial.ac.uk f.calboli [.a.t] gmail.com
I know this workaround. However that links R to the reference Blas. What keep me confusing is that when linking the R-patched from http://R.research.att.com to vecLib, it halts, but the home-built R, linked to the same vecLib, runs fine. Y
On Aug 19, 2011, at 9:25 PM, Federico Calboli wrote:
On 19 Aug 2011, at 21:06, Yan Zhou wrote:
Dear all, I have a problem with R 2.31-patched from http://R.research.att.com/. I am using Lion 10.7.1 I did a fresh install of R and I checked that the BLAS library is linked to vecLib. However the following simple code halt on my machine. a <- matrix(rnorm(640 * 640), ncol = 640) b <- eigen(a)
I can reproduce the problem running the code above. ls -l /Library/Frameworks/R.framework/Resources/lib/libRblas.dylib points to libRblas.vecLib.dylib F -- Federico C. F. Calboli Department of Epidemiology and Biostatistics Imperial College, St. Mary's Campus Norfolk Place, London W2 1PG Tel +44 (0)20 75941602 Fax +44 (0)20 75943193 f.calboli [.a.t] imperial.ac.uk f.calboli [.a.t] gmail.com
On 19-08-2011, at 22:06, Yan Zhou wrote:
Dear all, I have a problem with R 2.31-patched from http://R.research.att.com/. I am using Lion 10.7.1 I did a fresh install of R and I checked that the BLAS library is linked to vecLib. However the following simple code halt on my machine. a <- matrix(rnorm(640 * 640), ncol = 640) b <- eigen(a) This should take less than a second. However after an hour R is still halted. I tried a few more times it is reproducible on my machine. I then built R my self, linked to vecLib, and using Lion's system default tools. The build passed check and the code above runs without a problem. I am not sure what is wrong here. The machine I am using is a Mid-2010 MacBook Pro 15", Core i7 2.66GHz. Does anyone has the same problem or it is that there's something wrong with my machine only?
I have tried this on my MacBook Air 2011 (1.6Ghz i5, 4Gb memory, 128Gb flash) and Mac OS X 10.7.1 Using R 2.13.1 of 2011-07-08. The problem occurs when running R 64 bit. The 32 bit R doesn't have the problem. Berend
On Aug 20, 2011, at 2:09 PM, Berend Hasselman wrote:
On 19-08-2011, at 22:06, Yan Zhou wrote:
Dear all, I have a problem with R 2.31-patched from http://R.research.att.com/. I am using Lion 10.7.1 I did a fresh install of R and I checked that the BLAS library is linked to vecLib. However the following simple code halt on my machine. a <- matrix(rnorm(640 * 640), ncol = 640) b <- eigen(a) This should take less than a second. However after an hour R is still halted. I tried a few more times it is reproducible on my machine. I then built R my self, linked to vecLib, and using Lion's system default tools. The build passed check and the code above runs without a problem. I am not sure what is wrong here. The machine I am using is a Mid-2010 MacBook Pro 15", Core i7 2.66GHz. Does anyone has the same problem or it is that there's something wrong with my machine only?
I have tried this on my MacBook Air 2011 (1.6Ghz i5, 4Gb memory, 128Gb flash) and Mac OS X 10.7.1 Using R 2.13.1 of 2011-07-08. The problem occurs when running R 64 bit. The 32 bit R doesn't have the problem.
Em, I tried it for 32 bit too, it runs fine. I guess it may be a linking problem. Yan