since there is demand, and someone already emailed me, I'll put what I did in this post. It pretty much follows whats on the scipy website, with a couple other things I gleaned from reading the ATLAS install guide:
and here it goes, this is valid for Ubuntu 9.04 64-bit (# starts a comment when working in the terminal) download lapack 3.2.1 http://www.netlib.org/lapack/lapack.tgz download atlas 3.8.3 http://sourceforge.net/project/downloading.php?group_id=23725&filename=atlas3.8.3.tar.bz2&a=65663372 create folder /home/your-user-name/build/atlas #this is where we build create folder /home/your-user-name/build/lapack #atlas and lapack extract the folder lapack-3.2.1 to /home/your-user-name/build/lapack extract the contents of atlas to /home/your-user-name/build/atlas now in the terminal: # remove g77 and get stuff we need sudo apt-get remove g77 sudo apt-get install gfortran sudo apt-get install build-essential sudo apt-get install python-dev sudo apt-get install python-setuptools sudo easy_install nose # build lapack cd /home/your-user-name/build/lapack/lapack-3.2.1 cp INSTALL/make.inc.gfortran make.inc gedit make.inc ################# #in the make.inc file make sure the line OPTS = -O2 -fPIC -m64 #and NOOPTS = -O0 -fPIC -m64 #the -m64 flags build 64-bit code, if you want 32-bit, simply leave #the -m64 flags out ################# cd SRC #this should build lapack without error make # build atlas cd /home/your-user-name/build/atlas #this is simply where we will build the atlas #libs, you can name it what you want mkdir Linux_X64SSE2 cd Linux_X64SSE2 #need to turn off cpu-throttling sudo cpufreq-selector -g performance #if you don't want 64bit code remove the -b 64 flag. replace the #number 2400 with your CPU frequency in MHZ #i.e. my cpu is 2.53 GHZ so i put 2530 ../configure -b 64 -D c -DPentiumCPS=2400 -Fa -alg -fPIC --with-netlib-lapack=/home/your-user-name/build/lapack/lapack-3.2.1/Lapack_LINUX.a #the configure step takes a bit, and should end without errors #this takes a long time, go get some coffee, it should end without error make build #this will verify the build, also long running make check #this will test the performance of your build and give you feedback on #it. your numbers should be close to the test numbers at the end make time cd lib #builds single threaded .so's make shared #builds multithreaded .so's make ptshared #copies all of the atlas libs (and the lapack lib built with atlas) #to our lib dir sudo cp *.so /usr/local/lib/ #now we need to get and build numpy download numpy 1.3.0 http://sourceforge.net/project/downloading.php?group_id=1369&filename=numpy-1.3.0.tar.gz&a=93506515 extract the folder numpy-1.3.0 to /home/your-user-name/build #in the terminal cd /home/your-user-name/build/numpy-1.3.0 cp site.cfg.example site.cfg gedit site.cfg ############################################### # in site.cfg uncomment the following lines and make them look like these [DEFAULT] library_dirs = /usr/local/lib include_dirs = /usr/local/include [blas_opt] libraries = ptf77blas, ptcblas, atlas [lapack_opt] libraries = lapack, ptf77blas, ptcblas, atlas ################################################### #if you want single threaded libs, uncomment those lines instead #build numpy- should end without error python setup.py build #install numpy python setup.py install cd /home sudo ldconfig python >>import numpy >>numpy.test() #this should run with no errors (skipped tests and known-fails >>are ok) >>a = numpy.random.randn(6000, 6000) >>numpy.dot(a, a) # look at your cpu monitor and verify all cpu cores are >>at 100% if you built with threads Celebrate with a beer! Cheers! Chris On Sat, Jun 6, 2009 at 10:42 AM, Keith Goodman<kwgood...@gmail.com> wrote: > On Fri, Jun 5, 2009 at 2:37 PM, Chris Colbert <sccolb...@gmail.com> wrote: >> I'll caution anyone from using Atlas from the repos in Ubuntu 9.04 as the >> package is broken: >> >> https://bugs.launchpad.net/ubuntu/+source/atlas/+bug/363510 >> >> >> just build Atlas yourself, you get better performance AND threading. >> Building it is not the nightmare it sounds like. I think i've done it a >> total of four times now, both 32-bit and 64-bit builds. >> >> If you need help with it, just email me off list. > > That's a nice offer. I tried building ATLAS on Debian a year or two > ago and got stuck. > > Clear out your inbox! > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
