Update package file for netlib-lapack to work with IBM XL compiler
The flag -qzerosize is redundant, as the IBM XL compiler should set this flag
by default. However, at this time the default flag appears to be ignore.
Hence, I am setting it in the package file as well, as it has no negative
effect if set twice.
graphviz:
* Download from Fedora projet, as main graphviz site not working.
* Disable java because Spack does not yet support Java, and the system might not have it installed.
* Added all language binding variants; disabled enough in the default configuration to avoid dependencies.
* Removed alternate download location (turned into comments).
* Turn off all language bindings by default.
* Raise an exception on bindings that have not been verified to work.
* Added text indicating what works and doesn't work when user runs `spack info`.
* New package.py for ExM C-Utils: An initial package dependency for Swift/T
* New package.py for ADLB/X: A 2nd package dependency for Swift/T
* New package.py for Turbine
* New package.py for STC
Spack wants URL info even for external packages. Without it, I get
the following error:
NoURLError: Package SpectrumMpi has no version with a URL.
File "/home_local/serbanspack/spack/lib/spack/spack/repository.py", line 580, in get
self._instances[key] = package_class(copy)
File "/home_local/serbanspack/spack/lib/spack/spack/package.py", line 562, in __init__
f = fs.for_package_version(self, self.version)
File "/home_local/serbanspack/spack/lib/spack/spack/fetch_strategy.py", line 878, in for_package_version
url = pkg.url_for_version(version)
File "/home_local/serbanspack/spack/lib/spack/spack/package.py", line 682, in url_for_version
raise NoURLError(cls)
* Creating a spack package for LLNL's LBANN (Livermore Big
Artificial Neural Network) training toolkit.
* Recipe for building LBANN toolkit. Contains limited feature set and
is optimized for building with GNU gcc and OpenBLAS.
* Removed unnecessary dependencies based on reviewers feedback.
* Added support for the int64 data type in the Elemental library. This
is required for supporting indices for large matrices.
* Added a variant to force a sequential weight matrix initialization.
This is slow, but provides an initialization that is independent of
model parallelism.
* Added a guard to prevent building Elemental with the Intel compiler
for versions that have known bugs.
* New package.py for ExM C-Utils: An initial package dependency for Swift/T
* New package turbine
* Fix package.py as requested by @adamjstewart
* New package.py for ADLB/X: A 2nd package dependency for Swift/T
* Add latest version of GNU Parallel (#3106)
* Address formatting guidelines from @adamjstewart
* WIP on new Turbine package.py
* Formatting fixes
* Complete Turbine package.py
[The fix](https://github.com/golang/go/issues/17986) for the small buglet addressed by `misc-cgo-testcshared.patch` has been merged into the tree a while back. I was surprised to see that it wasn't in 1.7.5 and did a bit of digging. It is *has not* been merged into the 1.7 branch but it *has* been merged into 1.8 (and therefor the patch will no longer be necessary).
Figured I'd document my digging for the next person to come along.
