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authorBrian Van Essen <vanessen1@llnl.gov>2017-03-24 17:53:16 -0700
committerTodd Gamblin <tgamblin@llnl.gov>2017-03-24 17:53:16 -0700
commit3af971165a4e6a682fb40fcef0e9c68e5c905d8c (patch)
treee9169a1a45b07cad21748b82fe90531794039333
parent61d01a71dd775eca0679c205390229b5d35624d9 (diff)
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Added a package for Nvida NCCL (#3552)
-rw-r--r--var/spack/repos/builtin/packages/nccl/package.py41
1 files changed, 41 insertions, 0 deletions
diff --git a/var/spack/repos/builtin/packages/nccl/package.py b/var/spack/repos/builtin/packages/nccl/package.py
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+++ b/var/spack/repos/builtin/packages/nccl/package.py
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+##############################################################################
+# Copyright (c) 2013-2016, 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/llnl/spack
+# Please also see the LICENSE file 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 Nccl(MakefilePackage):
+ """Optimized primitives for collective multi-GPU communication."""
+
+ homepage = "https://github.com/NVIDIA/nccl"
+ url = "https://github.com/NVIDIA/nccl/archive/v1.3.4-1.tar.gz"
+
+ version('1.3.4-1', '5b9ce7fbdce0fde68e0f66318e6ff422')
+ version('1.3.0-1', 'f6fb1d56913a7d212ca0c300e76f01fb')
+
+ depends_on('cuda')
+
+ @property
+ def install_targets(self):
+ return ['PREFIX={0}'.format(self.prefix), 'install']