accfft: added new package (#7213)

var/spack/repos/builtin/packages/accfft/package.py

@@ -0,0 +1,66 @@
+##############################################################################
+# Copyright (c) 2013-2017, Lawrence Livermore National Security, LLC.
+# Produced at the Lawrence Livermore National Laboratory.
+#
+# This file is part of Spack.
+# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
+# LLNL-CODE-647188
+#
+# For details, see https://github.com/spack/spack
+# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
+#
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU Lesser General Public License (as
+# published by the Free Software Foundation) version 2.1, February 1999.
+#
+# This program is distributed in the hope that it will be useful, but
+# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
+# conditions of the GNU Lesser General Public License for more details.
+#
+# You should have received a copy of the GNU Lesser General Public
+# License along with this program; if not, write to the Free Software
+# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
+##############################################################################
+from spack import *
+
+
+class Accfft(CMakePackage, CudaPackage):
+    """AccFFT extends existing FFT libraries for CUDA-enabled
+    Graphics Processing Units (GPUs) to distributed memory clusters
+    """
+
+    homepage = "http://accfft.org"
+    url = "https://github.com/amirgholami/accfft.git"
+
+    version('develop', git='https://github.com/amirgholami/accfft.git', branch='master')
+
+    variant('pnetcdf', default=True, description='Add support for parallel NetCDF')
+    variant('shared', default=True, description='Enables the build of shared libraries')
+
+    # See: http://accfft.org/articles/install/#installing-dependencies
+    depends_on('fftw+float+double~mpi+openmp')
+
+    depends_on('parallel-netcdf', when='+pnetcdf')
+
+    parallel = False
+
+    def cmake_args(self):
+        spec = self.spec
+        args = [
+            '-DFFTW_ROOT={0}'.format(spec['fftw'].prefix),
+            '-DFFTW_USE_STATIC_LIBS=false',
+            '-DBUILD_GPU={0}'.format('true' if '+cuda' in spec else 'false'),
+            '-DBUILD_SHARED={0}'.format(
+                'true' if '+shared' in spec else 'false'
+            ),
+        ]
+
+        if '+cuda' in spec:
+            cuda_arch = [x for x in spec.variants['cuda_arch'].value if x]
+            if cuda_arch:
+                args.append('-DCUDA_NVCC_FLAGS={0}'.format(
+                    ' '.join(self.cuda_flags(cuda_arch))
+                ))
+
+        return args