Zoltan expects mpi libraries with option --with-mpi-libs.
If this option is not provided then it uses '-lmpi' which
may not be correct. To avoid this, we have to explicitly
pass empty string.
This adds notes to the source explaining the change.
* Add log4cxx package
* add missing patch files to log4cxx
* remove unnecessary dependencies
* this fails at 'make check'
* this is the AutotoolsPackage version
* fixed install bug
* Update the krell institute products to use the latest features of spack for building on cluster platforms.
* Address travis error messages and resubmit the pull request.
* Update the contents of openspeedshop package.py so it passes the flake8 tests.
* Fix flake8 error-whitespack issue in mrnet package.py file.
* Add updates based on spack reviewer feedback.
* More fixes based on comments from reviewers. Switch using extend to using append, remove additional setting of PATH and LD_LIBRARY_PATH that should not be required due to RPATH.
* More review related changes. Update MPIOption.append lines and take out xercesc references.
* Create a base options function for common openspeedshop base cmake options to reduce redundencies.
* Add libxml2+python depends on to get around issues with the libxml2 package file.
* Using boost over 1.60.0 causes compile errors. This is a known boost bug. Also, dyninst-9.2.0 is set to be the vesrion of dyninst to use with OSS, as of now. The newer version fails to build.
* Fix bad syntax in specifying the boost version range.
* Update the version numbers for the krell institute components and tools: cbtf and openspeedshop.
* Do not build glib for qt3, it is not needed and causes build problems at this time anyway.
* A fix was added for setting LD_LIBRARY_PATH in the qt3 build, but if LD_LIBRARY_PATH is not set the qt build fails. So so check and set LD_LIBRARY_PATH if not set, update if it is set.
* Update the fix for qt3 build by setting LD_LIBRARY_PATH instead of checking for whether it is set or not per Adams comment that spack clears LD_LIBRARY_PATH.
* A fix was added for setting LD_LIBRARY_PATH in the qt3 build, but if LD_LIBRARY_PATH is not set the qt build fails. So so check and set LD_LIBRARY_PATH if not set, update if it is set.
* Trim comments to fit more concisely.
* Fix tabs versus spaces and swap if and else clause check from a negative to a positive check.
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
