Merge branch 'psaravan-fastmath' into features/fastmath

Conflicts:
	var/spack/packages/lapack/package.py
This commit is contained in:
Todd Gamblin
2015-06-06 18:17:59 -07:00
16 changed files with 307 additions and 39 deletions

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@@ -0,0 +1,41 @@
from spack import *
import os
import shutil
class Arpack(Package):
"""A collection of Fortran77 subroutines designed to solve large scale
eigenvalue problems.
"""
homepage = "http://www.caam.rice.edu/software/ARPACK/"
url = "http://www.caam.rice.edu/software/ARPACK/SRC/arpack96.tar.gz"
version('96', 'fffaa970198b285676f4156cebc8626e')
depends_on('blas')
depends_on('lapack')
def patch(self):
# Filter the cray makefile to make a spack one.
shutil.move('ARMAKES/ARmake.CRAY', 'ARmake.inc')
makefile = FileFilter('ARmake.inc')
# Be sure to use Spack F77 wrapper
makefile.filter('^FC.*', 'FC = f77')
makefile.filter('^FFLAGS.*', 'FFLAGS = -O2 -g')
# Set up some variables.
makefile.filter('^PLAT.*', 'PLAT = ')
makefile.filter('^home.*', 'home = %s' % os.getcwd())
makefile.filter('^BLASdir.*', 'BLASdir = %s' % self.spec['blas'].prefix)
makefile.filter('^LAPACKdir.*', 'LAPACKdir = %s' % self.spec['lapack'].prefix)
# build the library in our own prefix.
makefile.filter('^ARPACKLIB.*', 'ARPACKLIB = %s/libarpack.a' % os.getcwd())
def install(self, spec, prefix):
with working_dir('SRC'):
make('all')
mkdirp(prefix.lib)
install('libarpack.a', prefix.lib)

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from spack import *
import os
class Blas(Package):
"""The BLAS (Basic Linear Algebra Subprograms) are routines that provide standard
building blocks for performing basic vector and matrix operations."""
homepage = "http://www.netlib.org/blas/"
version('unversioned', '5e99e975f7a1e3ea6abcad7c6e7e42e6',
url='http://www.netlib.org/blas/blas.tgz')
def install(self, spec, prefix):
make()
mkdirp('%s' % prefix.lib) # Create the lib dir inside the install dir.
move('./blas_LINUX.a', '%s/libblas.a' % prefix.lib) # Rename the generated lib file to libblas.a

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@@ -0,0 +1,25 @@
from spack import *
class Boxlib(Package):
"""BoxLib, a software framework for massively parallel
block-structured adaptive mesh refinement (AMR) codes."""
homepage = "https://ccse.lbl.gov/BoxLib/"
url = "https://ccse.lbl.gov/pub/Downloads/BoxLib.git";
# TODO: figure out how best to version this. No tags in the repo!
version('master', git='https://ccse.lbl.gov/pub/Downloads/BoxLib.git')
depends_on('mpi')
def install(self, spec, prefix):
args = std_cmake_args
args += ['-DCCSE_ENABLE_MPI=1',
'-DCMAKE_C_COMPILER=%s' % which('mpicc'),
'-DCMAKE_CXX_COMPILER=%s' % which('mpicxx'),
'-DCMAKE_Fortran_COMPILER=%s' % which('mpif90')]
cmake('.', *args)
make()
make("install")

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from spack import *
import os
class Cblas(Package):
"""The BLAS (Basic Linear Algebra Subprograms) are routines that
provide standard building blocks for performing basic vector and
matrix operations."""
homepage = "http://www.netlib.org/blas/_cblas/"
# tarball has no version, but on the date below, this MD5 was correct.
version('2015-06-06', '1e8830f622d2112239a4a8a83b84209a',
url='http://www.netlib.org/blas/blast-forum/cblas.tgz')
depends_on('blas')
parallel = False
def patch(self):
mf = FileFilter('Makefile.in')
mf.filter('^BLLIB =.*', 'BLLIB = %s/libblas.a' % self.spec['blas'].prefix.lib)
mf.filter('^CC =.*', 'CC = cc')
mf.filter('^FC =.*', 'FC = f90')
def install(self, spec, prefix):
make('all')
mkdirp(prefix.lib)
# Rename the generated lib file to libcblas.a
install('./lib/cblas_LINUX.a', '%s/libcblas.a' % prefix.lib)

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from spack import *
class Cgm(Package):
"""The Common Geometry Module, Argonne (CGMA) is a code library
which provides geometry functionality used for mesh generation and
other applications."""
homepage = "http://trac.mcs.anl.gov/projects/ITAPS/wiki/CGM"
url = "http://ftp.mcs.anl.gov/pub/fathom/cgm13.1.1.tar.gz"
version('13.1.1', '4e8dbc4ba8f65767b29f985f7a23b01f')
version('13.1.0', 'a6c7b22660f164ce893fb974f9cb2028')
version('13.1' , '95f724bda04919fc76818a5b7bc0b4ed')
depends_on("mpi")
def patch(self):
filter_file('^(#include "CGMParallelConventions.h")',
'//\1',
'geom/parallel/CGMReadParallel.cpp')
def install(self, spec, prefix):
configure("--with-mpi",
"--prefix=%s" % prefix,
"CFLAGS=-static",
"CXXFLAGS=-static",
"FCFLAGS=-static")
make()
make("install")

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from spack import *
class Hypre(Package):
"""Hypre is a library of high performance preconditioners that
features parallel multigrid methods for both structured and
unstructured grid problems."""
homepage = "https://computation.llnl.gov/project/linear_solvers/software.php"
url = "https://computation.llnl.gov/project/linear_solvers/download/hypre-2.10.0b.tar.gz"
version('2.10.0b', '768be38793a35bb5d055905b271f5b8e')
depends_on("mpi")
depends_on("blas")
depends_on("lapack")
def install(self, spec, prefix):
blas_dir = spec['blas'].prefix
lapack_dir = spec['lapack'].prefix
# Hypre's source is staged under ./src so we'll have to manually
# cd into it.
with working_dir("src"):
configure(
"--prefix=%s" % prefix,
"--with-blas-libs=blas",
"--with-blas-lib-dirs=%s/lib" % blas_dir,
"--with-lapack-libs=\"lapack blas\"",
"--with-lapack-lib-dirs=%s/lib" % lapack_dir,
"--with-MPI")
make()
make("install")

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@@ -1,6 +1,4 @@
from spack import *
import sys
import glob
class Lapack(Package):
"""
@@ -45,4 +43,3 @@ def install(self, spec, prefix):
make()
make("install")

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@@ -5,28 +5,23 @@ class Metis(Package):
partitioning finite element meshes, and producing fill reducing
orderings for sparse matrices. The algorithms implemented in
METIS are based on the multilevel recursive-bisection,
multilevel k-way, and multi-constraint partitioning schemes
developed in our lab."""
multilevel k-way, and multi-constraint partitioning schemes."""
homepage = "http://glaros.dtc.umn.edu/gkhome/metis/metis/overview"
url = "http://glaros.dtc.umn.edu/gkhome/fetch/sw/metis/metis-5.1.0.tar.gz"
version('5.1.0', '5465e67079419a69e0116de24fce58fe')
# FIXME: Add dependencies if this package requires them.
# depends_on("foo")
def patch(self):
filter_file(r'#define IDXTYPEWIDTH 32', '#define IDXTYPEWIDTH 64', 'include/metis.h',
string=True)
depends_on('mpi')
def install(self, spec, prefix):
with working_dir('spack-build', create=True):
cmake('..',
'-DGKLIB_PATH=../GKlib',
'-DBUILD_SHARED_LIBS=TRUE',
*std_cmake_args)
make()
make("install")
cmake(".",
'-DGKLIB_PATH=%s/GKlib' % pwd(),
'-DSHARED=1',
'-DCMAKE_C_COMPILER=mpicc',
'-DCMAKE_CXX_COMPILER=mpicxx',
'-DSHARED=1',
*std_cmake_args)
make()
make("install")

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from spack import *
import os
import shutil
class Parpack(Package):
"""ARPACK is a collection of Fortran77 subroutines designed to solve large
scale eigenvalue problems."""
homepage = "http://www.caam.rice.edu/software/ARPACK/download.html"
url = "http://www.caam.rice.edu/software/ARPACK/SRC/parpack96.tar.Z"
version('96', 'a175f70ff71837a33ff7e4b0b6054f43')
depends_on('mpi')
depends_on('blas')
depends_on('lapack')
def patch(self):
# Filter the CJ makefile to make a spack one.
shutil.move('ARMAKES/ARmake.CJ', 'ARmake.inc')
mf = FileFilter('ARmake.inc')
# Be sure to use Spack F77 wrapper
mf.filter('^FC.*', 'FC = f77')
mf.filter('^FFLAGS.*', 'FFLAGS = -O2 -g')
# Set up some variables.
mf.filter('^PLAT.*', 'PLAT = ')
mf.filter('^home.*', 'home = %s' % os.getcwd())
mf.filter('^BLASdir.*', 'BLASdir = %s' % self.spec['blas'].prefix)
mf.filter('^LAPACKdir.*', 'LAPACKdir = %s' % self.spec['lapack'].prefix)
mf.filter('^MAKE.*', 'MAKE = make')
# build the library in our own prefix.
mf.filter('^ARPACKLIB.*', 'PARPACKLIB = %s/libparpack.a' % os.getcwd())
def install(self, spec, prefix):
with working_dir('PARPACK/SRC/MPI'):
make('all')
mkdirp(prefix.lib)
install('libparpack.a', prefix.lib)

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from spack import *
class Petsc(Package):
"""PETSc is a suite of data structures and routines for the
scalable (parallel) solution of scientific applications modeled by
partial differential equations."""
homepage = "http://www.mcs.anl.gov/petsc/index.html"
url = "http://ftp.mcs.anl.gov/pub/petsc/release-snapshots/petsc-3.5.3.tar.gz"
version('3.5.3', 'd4fd2734661e89f18ac6014b5dd1ef2f')
version('3.5.2', 'ad170802b3b058b5deb9cd1f968e7e13')
version('3.5.1', 'a557e029711ebf425544e117ffa44d8f')
depends_on("boost")
depends_on("blas")
depends_on("lapack")
depends_on("hypre")
depends_on("parmetis")
depends_on("metis")
depends_on("hdf5")
depends_on("mpi")
def install(self, spec, prefix):
configure("--prefix=%s" % prefix,
"CC=cc",
"CXX=c++",
"FC=f90",
"--with-blas-lib=%s/libblas.a" % spec['blas'].prefix.lib,
"--with-lapack-lib=%s/liblapack.a" % spec['lapack'].prefix.lib,
"--with-boost-dir=%s" % spec['boost'].prefix,
"--with-hypre-dir=%s" % spec['hypre'].prefix,
"--with-parmetis-dir=%s" % spec['parmetis'].prefix,
"--with-metis-dir=%s" % spec['metis'].prefix,
"--with-hdf5-dir=%s" % spec['hdf5'].prefix,
"--with-shared-libraries=0")
# PETSc has its own way of doing parallel make.
make('MAKE_NP=%s' % make_jobs, parallel=False)
make("install")