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-rw-r--r--var/spack/packages/atlas/package.py28
-rw-r--r--var/spack/packages/lapack-atlas/package.py40
-rw-r--r--var/spack/packages/lapack/package.py48
3 files changed, 96 insertions, 20 deletions
diff --git a/var/spack/packages/atlas/package.py b/var/spack/packages/atlas/package.py
new file mode 100644
index 0000000000..7ee85f7f16
--- /dev/null
+++ b/var/spack/packages/atlas/package.py
@@ -0,0 +1,28 @@
+from spack import *
+from spack.util.executable import Executable
+import os
+
+class Atlas(Package):
+ """
+ Automatically Tuned Linear Algebra Software, generic shared
+ ATLAS is an approach for the automatic generation and optimization of
+ numerical software. Currently ATLAS supplies optimized versions for the
+ complete set of linear algebra kernels known as the Basic Linear Algebra
+ Subroutines (BLAS), and a subset of the linear algebra routines in the
+ LAPACK library.
+ """
+ homepage = "http://math-atlas.sourceforge.net/"
+ url = "http://downloads.sourceforge.net/project/math-atlas/Stable/3.10.2/atlas3.10.2.tar.bz2"
+
+ version('3.10.2', 'a4e21f343dec8f22e7415e339f09f6da')
+
+ def install(self, spec, prefix):
+ with working_dir('ATLAS-Build', create=True):
+ self.module.configure = Executable('../configure')
+ configure("--prefix=%s" % prefix)
+
+ make()
+ make('check')
+ make('ptcheck')
+ make('time')
+ make("install")
diff --git a/var/spack/packages/lapack-atlas/package.py b/var/spack/packages/lapack-atlas/package.py
new file mode 100644
index 0000000000..209b02cb94
--- /dev/null
+++ b/var/spack/packages/lapack-atlas/package.py
@@ -0,0 +1,40 @@
+from spack import *
+from spack.util.executable import Executable
+import os
+import urllib
+
+class LapackAtlas(Package):
+ """
+ Automatically Tuned Linear Algebra Software, generic shared
+ ATLAS is an approach for the automatic generation and optimization of
+ numerical software. Currently ATLAS supplies optimized versions for the
+ complete set of linear algebra kernels known as the Basic Linear Algebra
+ Subroutines (BLAS), and a subset of the linear algebra routines in the
+ LAPACK library.
+ """
+ homepage = "http://math-atlas.sourceforge.net/"
+ url = "http://downloads.sourceforge.net/project/math-atlas/Stable/3.10.2/atlas3.10.2.tar.bz2"
+
+ version('3.10.2', 'a4e21f343dec8f22e7415e339f09f6da')
+
+ # FIXME: Add dependencies if this package requires them.
+ # depends_on("foo")
+
+ def install(self, spec, prefix):
+ #os.mkdir('ATLAS-Build')
+ #os.chdir('ATLAS-Build')
+ with working_dir('ATLAS-Build', create=True):
+ self.module.configure = Executable('../configure')
+ lapack_file = 'lapack-3.5.0.tgz'
+ lapack = urllib.URLopener()
+ lapack.retrieve('http://www.netlib.org/lapack/' + lapack_file, lapack_file)
+
+ configure("--prefix=%s" % prefix,
+ "--shared",
+ '--with-netlib-lapack-tarfile=%s' % os.getcwd() + '/' + lapack_file)
+
+ make()
+ make('check')
+ make('ptcheck')
+ make('time')
+ make("install")
diff --git a/var/spack/packages/lapack/package.py b/var/spack/packages/lapack/package.py
index 9990b0bf33..7013ba37b4 100644
--- a/var/spack/packages/lapack/package.py
+++ b/var/spack/packages/lapack/package.py
@@ -4,37 +4,45 @@ import glob
class Lapack(Package):
"""
- Netlib implementation of Lapack. If we end up having more Lapack libraries, we should
- turn it into a virtual dependency.
+ LAPACK version 3.X is a comprehensive FORTRAN library that does
+ linear algebra operations including matrix inversions, least
+ squared solutions to linear sets of equations, eigenvector
+ analysis, singular value decomposition, etc. It is a very
+ comprehensive and reputable package that has found extensive
+ use in the scientific community.
"""
homepage = "http://www.netlib.org/lapack/"
url = "http://www.netlib.org/lapack/lapack-3.5.0.tgz"
version('3.5.0', 'b1d3e3e425b2e44a06760ff173104bdf')
+ version('3.4.2', '61bf1a8a4469d4bdb7604f5897179478')
+ version('3.4.1', '44c3869c38c8335c2b9c2a8bb276eb55')
+ version('3.4.0', '02d5706ec03ba885fc246e5fa10d8c70')
+ version('3.3.1', 'd0d533ec9a5b74933c2a1e84eedc58b4')
+
+ # blas is a virtual dependency.
+ depends_on('blas')
# Doesn't always build correctly in parallel
parallel = False
- # virtual
- depends_on("blas")
+ @when('^netlib_blas')
+ def get_blas_libs(self):
+ blas = self.spec['netlib_blas']
+ return [join_path(blas.prefix.lib, 'blas.a')]
- def install(self, spec, prefix):
- # CMake could be used if the build becomes more complex
- symlink('make.inc.example', 'make.inc')
+ @when('^atlas')
+ def get_blas_libs(self):
+ blas = self.spec['atlas']
+ return [join_path(blas.prefix.lib, l)
+ for l in ('libf77blas.a', 'libatlas.a')]
- # Retrieves name of package that satisifies 'blas' virtual dependency
- blas_name = next(m for m in ('netlib_blas', 'atlas') if m in spec)
- blas_spec = spec[blas_name]
- blas_object_path = blas_spec.prefix.lib + '/blas.a'
- # The blas dependency must provide a 'blas.a' - but this is not gauranteed right now
- # So maybe we should check if it exists first... maybe...
- make('BLASLIB="%s"' % blas_object_path)
+ def install(self, spec, prefix):
+ blas_libs = ";".join(self.get_blas_libs())
+ cmake(".", '-DBLAS_LIBRARIES=' + blas_libs, *std_cmake_args)
+ make()
+ make("install")
+
- # Manual install since no method provided
- # Should probably be changed so only one external call is made
- # Can install be used on a list of files?
- mkdirp(prefix.lib)
- for file in glob.glob('*.a'):
- install(file, prefix.lib)