Add CUDA and HOOMD-blue packages

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

@@ -0,0 +1,42 @@
+from spack import *
+from glob import glob
+import os
+
+class Cuda(Package):
+    """CUDA is a parallel computing platform and programming model invented by
+    NVIDIA. It enables dramatic increases in computing performance by harnessing
+    the power of the graphics processing unit (GPU).
+
+    Note: NVIDIA does not provide a download URL for CUDA so you will need to
+    download it yourself. Go to https://developer.nvidia.com/cuda-downloads
+    and select your Operating System, Architecture, Distribution, and Version.
+    For the Installer Type, select runfile and click Download. Spack will search
+    your current directory for this file. Alternatively, add this file to a
+    mirror so that Spack can find it. For instructions on how to set up a mirror,
+    see http://software.llnl.gov/spack/mirrors.html"""
+
+    homepage = "http://www.nvidia.com/object/cuda_home_new.html"
+    url      = "file://%s/cuda_7.5.18_linux.run" % os.getcwd()
+
+    version('7.5.18', '4b3bcecf0dfc35928a0898793cf3e4c6', expand=False)
+
+    def install(self, spec, prefix):
+        runfile = glob(os.path.join(self.stage.path, 'cuda*.run'))[0]
+        chmod = which('chmod')
+        chmod('+x', runfile)
+        runfile = which(runfile)
+
+        # Note: NVIDIA does not officially support many newer versions of compilers.
+        # For example, on CentOS 6, you must use GCC 4.4.7 or older.
+        # The --override flag disables these checks. See:
+        # http://docs.nvidia.com/cuda/cuda-installation-guide-linux/#system-requirements
+        # for details.
+
+        runfile(
+            '--silent',   # disable interactive prompts
+            '--verbose',  # create verbose log file
+            '--override', # ignore compiler checks
+            '--toolkit',  # install CUDA Toolkit
+            '--toolkitpath=%s' % prefix
+        )
+