BLAS-LAPACK-ATLAS-R安装多线程？

Question

I am trying to setup ATLAS, BLAS, LAPACK, and R on an OpenSuSE 12.2 server with an 8 core AMD athlon FX-8320. I have turned off the CPU frequency scaling using cpufreq and a script cfu from paste.opensuse.org/92162247 made by James McDaniel.

So following the instructions, here http://math-atlas.sourceforge.net/atlas_install/node45.html I didn't need to install gcc (that I know yet) I have gcc (SUSE Linux) 4.7.1 20120723 installed, g++, and gfortran the same version as gcc.

The instructions are to make a bogus configuration of ATLAS to determine the compiler flags to use. ATLAS is configured in the instructions as '../configure -b 64 -D c -DPentiumCPS=2200 -Fa alg -fPIC'. I modify this to what I think will work for my setup ' ../configure -b 64 -t 8 -Fa alg -fpic -A x86_64 -D c -DpentiumCPS=3500 -Si latune 1 --prefix=/usr/local/lib64 --with-netlib-lapack-tarfile=/opt/maths/lapack-3.4.2.tgz' I get these errors.

OS configured as Linux (1)

Assembly configured as GAS_x8664 (2)

Vector ISA Extension configured as  AVXMAC (3,504)
ERROR: enum fam=6, chip=8, mach=0
make[3]: *** [atlas_run] Error 44
make[2]: *** [IRunArchInfo_x86] Error 2
/bin/sh: line 1: 13849 Segmentation fault      ./xarchinfo_linux -a > config0.out
make[3]: *** [atlas_run] Error 139
make[2]: *** [IRunArchInfo_linux] Error 2

Architecture configured as  UNKNOWNx86 (35)
ERROR: enum fam=6, chip=8, mach=0
make[3]: *** [atlas_run] Error 44
make[2]: *** [IRunArchInfo_x86] Error 2

Clock rate configured as 3500Mhz
Parallel make command configured as '$(MAKE) -j 8'
ERROR: enum fam=6, chip=8, mach=0
make[3]: *** [atlas_run] Error 44
make[2]: *** [IRunArchInfo_x86] Error 2
Cannot detect CPU throttling.

Atlas makes a Make.inc and if I fgrep F77 and F77 flags I get 'gfortran-4.7' AND '-O -mavx -fpic -m64'. Maybe the -mavx flag handles the AVXMAC error? Do I need -mavx? I will proceed with my instructions...

Answer 1

(Not a real answer, but difficult to read as a comment):

A few more considerations on Dirk's recommendation to use OpenBLAS.

I also use OpenBLAS (on Ubuntu and CentOS systems).

• One consideration that is important for me on the 8 and 12 core machines is that OpenBLAS allows dynamic setting of the number of threads to use, which ATLAS doesn't . In Order to set the number of threads dynamicall from within R, I use Simon Fuller's OpenBLASThreads .

• OpenBLAS was pretty straightforward to build on both systems.

• Binary .deb packages are available, but last time I checked them, they had the maximum possible number of threads set to 2. However, this is going to change . Till now, I also build the library from source on Ubuntu machines with > 2 cores.