In compiler bootstrapping pipelines, we add an artificial dependency
between jobs for packages to be built with a bootstrapped compiler
and the job building the compiler. To find the right bootstrapped
compiler for each spec, we compared not only the compiler spec to
that required by the package spec, but also the architectures of
the compiler and package spec.
But this prevented us from finding the bootstrapped compiler for a
spec in cases where the architecture of the compiler wasn't exactly
the same as the spec. For example, a gcc@4.8.5 might have
bootstrapped a compiler with haswell as the architecture, while the
spec had broadwell. By comparing the families instead of the architecture
itself, we know that we can build the zlib for broadwell with the gcc for
haswell.
* py-json-get: new package at 1.1.1
* py-json-get: new package at 1.1.1
* r-bigalgebra: new package at 0.8.4
* r-bigalgebra: new package at 0.8.4 with corrections
* Added an additional change to tarball and dependencies
* removing accidentally added file
* Added tarball that uses mirror and removed redundant dependencies
* Fixed version and added dep.
* Updated checksum
* Fixed urls
* Added list_url
Co-authored-by: las_djorton <las_djorton@build.las.iastate.edu>
* Add CUDA support to superlu-dist
* Use spec['cuda'].libs.directories[0] iso spec['cuda'].prefix.lib
so it works for both lib and lib64
The suggested:
args.append('-DTPL_CUDA_LIBRARIES=' +
spec['cuda'].libs.ld_flags)
did not work because it does not link with cuBLAS.
Currently, full JSON output is the only machine readable option for `spack find`
in an environment.
`spack find --format` is also designed to be machine readable, but we print extra
headers in environments.
-[x] don't print headers in `spack find` output when in an environment
* No version of yaml-cpp in spack can build shared AND
static libraries at the same time. So drop the "static"
variant and let "shared" handle that alone.
Or in other words: No version handles the
BUILD_STATIC_LIBS flag.
* The flag for building shared libraries changed from
BUILD_SHARED_LIBS to YAML_BUILD_SHARED_LIBS at some
point. So just pass both flags.
* Use the newer define_from_variant.
* [py-cuml] created template
* [py-cuml] setup phases and added build_directory
* [py-cuml] added dependencies
* [py-cuml] depends on libcumlprims
* [py-cuml] requiring multigpu version
* [py-cuml] figuring out the best way to get concretization to happen cleanly
* [py-cuml] removed singlegpu variat from libcuml
* [py-cuml] depends on py-cudf
* [py-cuml] depends on cupy
* [py-cuml] fixed typoo
* [py-cuml] depends on py-scipy
* [py-cuml] depends on py-treelite
* [py-cuml] py-treelite is now a variant of treelite
* [py-cuml] depends on joblib
* [py-cuml] depends on py-scikit-learn
* [py-cuml] flake8
* [py-cuml] added homepage and description. removed fixmes
* [py-cuml] updated checksum
* Enabling build of v1.9.x development branch.
* v1.8.1 is the preferred (stable) version.
* Fixing code style
Co-authored-by: Filippo Spiga <fspiga@nvidia.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* [podio] put python dir in python path
* Update var/spack/repos/builtin/packages/podio/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
When invoking "buildcache list" multiple times, the command was
reporting no specs in the cache the second time around. The
presence of an up-to-date index was causing the internal
representation to be left un-initialized.
