20 KiB
v0.14.2 (2019-04-15)
This is a minor release on the 0.14
series. It includes performance
improvements and bug fixes:
- Improvements to how
spack install
handles foreground/background (#15723) - Major performance improvements for reading the package DB (#14693, #15777)
- No longer check for the old
index.yaml
database file (#15298) - Properly activate environments with '-h' in the name (#15429)
- External packages have correct
.prefix
in environments/views (#15475) - Improvements to computing env modifications from sourcing files (#15791)
- Bugfix on Cray machines when getting
TERM
env variable (#15630) - Avoid adding spurious
LMOD
env vars to Intel modules (#15778) - Don't output [+] for mock installs run during tests (#15609)
v0.14.1 (2019-03-20)
This is a bugfix release on top of v0.14.0
. Specific fixes include:
- several bugfixes for parallel installation (#15339, #15341, #15220, #15197)
spack load
now works with packages that have been renamed (#14348)- bugfix for
suite-sparse
installation (#15326) - deduplicate identical suffixes added to module names (#14920)
- fix issues with
configure_args
during module refresh (#11084) - increased test coverage and test fixes (#15237, #15354, #15346)
- remove some unused code (#15431)
v0.14.0 (2020-02-23)
v0.14.0
is a major feature release, with 3 highlighted features:
-
Distributed builds. Multiple Spack instances will now coordinate properly with each other through locks. This works on a single node (where you've called
spack
several times) or across multiple nodes with a shared filesystem. For example, with SLURM, you could buildtrilinos
and its dependencies on 2 24-core nodes, with 3 Spack instances per node and 8 build jobs per instance, withsrun -N 2 -n 6 spack install -j 8 trilinos
. This requires a filesystem with locking enabled, but not MPI or any other library for parallelism. -
Build pipelines. You can also build in parallel through Gitlab CI. Simply create a Spack environment and push it to Gitlab to build on Gitlab runners. Pipeline support is now integreated into a single
spack ci
command, so setting it up is easier than ever. See the Pipelines section in the docs. -
Container builds. The new
spack containerize
command allows you to create a Docker or Singularity recipe from any Spack environment. There are options to customize the build if you need them. See the Container Images section in the docs.
In addition, there are several other new commands, many bugfixes and
improvements, and spack load
no longer requires modules, so you can use
it the same way on your laptop or on your supercomputer.
Spack grew by over 300 packages since our last release in November 2019, and the project grew to over 500 contributors. Thanks to all of you for making yet another great release possible. Detailed notes below.
Major new core features
- Distributed builds: spack instances coordinate and build in parallel (#13100)
- New
spack ci
command to manage CI pipelines (#12854) - Generate container recipes from environments:
spack containerize
(#14202) spack load
now works without using modules (#14062, #14628)- Garbage collect old/unused installations with
spack gc
(#13534) - Configuration files all set environment modifications the same way (#14372, docs)
spack commands --format=bash
auto-generates completion (#14393, #14607)- Packages can specify alternate fetch URLs in case one fails (#13881)
Improvements
- Improved locking for concurrency with environments (#14676, #14621, #14692)
spack test
sends args topytest
, supports better listing (#14319)- Better support for aarch64 and cascadelake microarch (#13825, #13780, #13820)
- Archspec is now a separate library (see https://github.com/archspec/archspec)
- Many improvements to the
spack buildcache
command (#14237, #14346, #14466, #14467, #14639, #14642, #14659, #14696, #14698, #14714, #14732, #14929, #15003, #15086, #15134)
Selected Bugfixes
- Compilers now require an exact match on version (#8735, #14730, #14752)
- Bugfix for patches that specified specific versions (#13989)
spack find -p
now works in environments (#10019, #13972)- Dependency queries work correctly in
spack find
(#14757) - Bugfixes for locking upstream Spack instances chains (#13364)
- Fixes for PowerPC clang optimization flags (#14196)
- Fix for issue with compilers and specific microarchitectures (#13733, #14798)
New commands and options
spack ci
(#12854)spack containerize
(#14202)spack gc
(#13534)spack load
accepts--only package
,--only dependencies
(#14062, #14628)spack commands --format=bash
(#14393)spack commands --update-completion
(#14607)spack install --with-cache
has new option:--no-check-signature
(#11107)spack test
now has--list
,--list-long
, and--list-names
(#14319)spack install --help-cdash
moves CDash help out of the main help (#13704)
Deprecations
spack release-jobs
has been rolled intospack ci
spack bootstrap
will be removed in a future version, as it is no longer needed to set up modules (seespack load
improvements above)
Documentation
- New section on building container images with Spack (see docs)
- New section on using
spack ci
command to build pipelines (see docs) - Document how to add conditional dependencies (#14694)
- Document how to use Spack to replace Homebrew/Conda (#13083, see docs)
Important package changes
- 3,908 total packages (345 added since 0.13.0)
- Added first cut at a TensorFlow package (#13112)
- We now build R without "recommended" packages, manage them w/Spack (#12015)
- Elpa and OpenBLAS now leverage microarchitecture support (#13655, #14380)
- Fix
octave
compiler wrapper usage (#14726) - Enforce that packages in
builtin
aren't missing dependencies (#13949)
v0.13.4 (2020-02-07)
This release contains several bugfixes:
- bugfixes for invoking python in various environments (#14349, #14496, #14569)
- brought tab completion up to date (#14392)
- bugfix for removing extensions from views in order (#12961)
- bugfix for nondeterministic hashing for specs with externals (#14390)
v0.13.3 (2019-12-23)
This release contains more major performance improvements for Spack
environments, as well as bugfixes for mirrors and a python
issue with
RHEL8.
- mirror bugfixes: symlinks, duplicate patches, and exception handling (#13789)
- don't try to fetch
BundlePackages
(#13908) - avoid re-fetching patches already added to a mirror (#13908)
- avoid re-fetching alread added patches (#13908)
- avoid re-fetching alread added patches (#13908)
- allow repeated invocations of
spack mirror create
on the same dir (#13908) - bugfix for RHEL8 when
python
is unavailable (#14252) - improve concretization performance in environments (#14190)
- improve installation performance in environments (#14263)
v0.13.2 (2019-12-04)
This release contains major performance improvements for Spack environments, as well as some bugfixes and minor changes.
- allow missing modules if they are blacklisted (#13540)
- speed up environment activation (#13557)
- mirror path works for unknown versions (#13626)
- environments: don't try to modify run-env if a spec is not installed (#13589)
- use semicolons instead of newlines in module/python command (#13904)
- verify.py: os.path.exists exception handling (#13656)
- Document use of the maintainers field (#13479)
- bugfix with config caching (#13755)
- hwloc: added 'master' version pointing at the HEAD of the master branch (#13734)
- config option to allow gpg warning suppression (#13744)
- fix for relative symlinks when relocating binary packages (#13727)
- allow binary relocation of strings in relative binaries (#13724)
v0.13.1 (2019-11-05)
This is a bugfix release on top of v0.13.0
. Specific fixes include:
spack find
now displays variants and other spec constraints- bugfix: uninstall should find concrete specs by DAG hash (#13598)
- environments: make shell modifications partially unconditional (#13523)
- binary distribution: relocate text files properly in relative binaries (#13578)
- bugfix: fetch prefers to fetch local mirrors over remote resources (#13545)
- environments: only write when necessary (#13546)
- bugfix: spack.util.url.join() now handles absolute paths correctly (#13488)
- sbang: use utf-8 for encoding when patching (#13490)
- Specs with quoted flags containing spaces are parsed correctly (#13521)
- targets: print a warning message before downgrading (#13513)
- Travis CI: Test Python 3.8 (#13347)
- Documentation: Database.query methods share docstrings (#13515)
- cuda: fix conflict statements for x86-64 targets (#13472)
- cpu: fix clang flags for generic x86_64 (#13491)
- syaml_int type should use int.repr rather than str.repr (#13487)
- elpa: prefer 2016.05.004 until sse/avx/avx2 issues are resolved (#13530)
- trilinos: temporarily constrain netcdf@:4.7.1 (#13526)
v0.13.0 (2019-10-25)
v0.13.0
is our biggest Spack release yet, with many new major features.
From facility deployment to improved environments, microarchitecture
support, and auto-generated build farms, this release has features for all of
our users.
Spack grew by over 700 packages in the past year, and the project now has over 450 contributors. Thanks to all of you for making this release possible.
Major new core features
- Chaining: use dependencies from external "upstream" Spack instances
- Environments now behave more like virtualenv/conda
- Each env has a view: a directory with all packages symlinked in
- Activating an environment sets
PATH
,LD_LIBRARY_PATH
,CPATH
,CMAKE_PREFIX_PATH
,PKG_CONFIG_PATH
, etc. to point to this view.
- Spack detects and builds specifically for your microarchitecture
- named, understandable targets like
skylake
,broadwell
,power9
,zen2
- Spack knows which compilers can build for which architectures
- Packages can easily query support for features like
avx512
andsse3
- You can pick a target with, e.g.
spack install foo target=icelake
- named, understandable targets like
- Spack stacks: combinatorial environments for facility deployment
- Environments can now build cartesian products of specs (with
matrix:
) - Conditional syntax support to exclude certain builds from the stack
- Environments can now build cartesian products of specs (with
- Projections: ability to build easily navigable symlink trees environments
- Support no-source packages (BundlePackage) to aggregate related packages
- Extensions: users can write custom commands that live outside of Spack repo
- Support ARM and Fujitsu compilers
CI/build farm support
spack release-jobs
can detectpackage.py
changes and generate.gitlab-ci.yml
to create binaries for an environment or stack in parallel (initial support -- will change in future release).- Results of build pipelines can be uploaded to a CDash server.
- Spack can now upload/fetch from package mirrors in Amazon S3
New commands/options
spack mirror create --all
downloads all package sources/resources/patchesspack dev-build
runs phases of the install pipeline on the working directoryspack deprecate
permanently symlinks an old, unwanted package to a new onespack verify
chcecks that packages' files match what was originally installedspack find --json
printsJSON
that is easy to parse with, e.g.jq
spack find --format FORMAT
allows you to flexibly print package metadataspack spec --json
prints JSON version ofspec.yaml
Selected improvements
- Auto-build requested compilers if they do not exist
- Spack automatically adds
RPATHs
needed to make executables find compiler runtime libraries (e.g., path to newerlibstdc++
inicpc
org++
) - setup-env.sh is now compatible with Bash, Dash, and Zsh
- Spack now caps build jobs at min(16, ncores) by default
spack compiler find
now also throttles number of spawned processes- Spack now writes stage directories directly to
$TMPDIR
instead of symlinking stages within$spack/var/spack/cache
. - Improved and more powerful
spec
format strings - You can pass a
spec.yaml
file anywhere in the CLI you can type a spec. - Many improvements to binary caching
- Gradually supporting new features from Environment Modules v4
spack edit
respectsVISUAL
environment variable- Simplified package syntax for specifying build/run environment modifications
- Numerous improvements to support for environments across Spack commands
- Concretization improvements
Documentation
- Multi-lingual documentation (Started a Japanese translation)
- Tutorial now has its own site at spack-tutorial.readthedocs.io
- This enables us to keep multiple versions of the tutorial around
Deprecations
- Spack no longer supports dotkit (LLNL's homegrown, now deprecated module tool)
spack build
,spack configure
,spack diy
deprecated in favor ofspack dev-build
andspack install
Important package changes
- 3,563 total packages (718 added since 0.12.1)
- Spack now defaults to Python 3 (previously preferred 2.7 by default)
- Much improved ARM support thanks to Fugaku (RIKEN) and SNL teams
- Support new special versions: master, trunk, and head (in addition to develop)
- Better finding logic for libraries and headers
v0.12.1 (2018-11-13)
This is a minor bugfix release, with a minor fix in the tutorial and a flake8
fix.
Bugfixes
- Add
r
back to regex strings in binary distribution - Fix gcc install version in the tutorial
v0.12.0 (2018-11-13)
Major new features
- Spack environments
spack.yaml
andspack.lock
files for tracking dependencies- Custom configurations via command line
- Better support for linking Python packages into view directories
- Packages have more control over compiler flags via flag handlers
- Better support for module file generation
- Better support for Intel compilers, Intel MPI, etc.
- Many performance improvements, improved startup time
License
- As of this release, all of Spack is permissively licensed under Apache-2.0 or MIT, at the user's option.
- Consents from over 300 contributors were obtained to make this relicense possible.
- Previous versions were distributed under the LGPL license, version 2.1.
New packages
Over 2,900 packages (800 added since last year)
Spack would not be possible without our community. Thanks to all of our contributors for the new features and packages in this release!
v0.11.2 (2018-02-07)
This release contains the following fixes:
- Fixes for
gfortran
7 compiler detection (#7017) - Fixes for exceptions thrown during module generation (#7173)
v0.11.1 (2018-01-19)
This release contains bugfixes for compiler flag handling. There were issues in v0.11.0
that caused some packages to be built without proper optimization.
Fixes:
- Issue #6999: FFTW installed with Spack 0.11.0 gets built without optimisations
Includes:
- PR #6415: Fixes for flag handling behavior
- PR #6960: Fix type issues with setting flag handlers
880e319
: Upstream fixes tolist_url
in various R packages
v0.11.0 (2018-01-17)
Spack v0.11.0 contains many improvements since v0.10.0. Below is a summary of the major features, broken down by category.
New packages
- Spack now has 2,178 packages (from 1,114 in v0.10.0)
- Many more Python packages (356) and R packages (471)
- 48 Exascale Proxy Apps (try
spack list -t proxy-app
)
Core features for users
- Relocatable binary packages (
spack buildcache
, #4854) - Spack now fully supports Python 3 (#3395)
- Packages can be tagged and searched by tags (#4786)
- Custom module file templates using Jinja (#3183)
spack bootstrap
command now sets up a basic module environment (#3057)- Simplified and better organized help output (#3033)
- Improved, less redundant
spack install
output (#5714, #5950) - Reworked
spack dependents
andspack dependencies
commands (#4478)
Major new features for packagers
- Multi-valued variants (#2386)
- New
conflicts()
directive (#3125) - New dependency type:
test
dependencies (#5132) - Packages can require their own patches on dependencies (#5476)
depends_on(..., patches=<patch list>)
- Build interface for passing linker information through Specs (#1875)
- Major packages that use blas/lapack now use this interface
- Flag handlers allow packages more control over compiler flags (#6415)
- Package subclasses support many more build systems:
- autotools, perl, qmake, scons, cmake, makefile, python, R, WAF
- package-level support for installing Intel HPC products (#4300)
spack blame
command shows contributors to packages (#5522)spack create
now guesses many more build systems (#2707)- Better URL parsing to guess package version URLs (#2972)
- Much improved
PythonPackage
support (#3367)
Core
- Much faster concretization (#5716, #5783)
- Improved output redirection (redirecting build output works properly #5084)
- Numerous improvements to internal structure and APIs
Tutorials & Documentation
- Many updates to documentation
- New tutorial material from SC17
- configuration
- build systems
- build interface
- working with module generation
- Documentation on docker workflows and best practices
Selected improvements and bug fixes
- No longer build Python eggs -- installations are plain directories (#3587)
- Improved filtering of system paths from build PATHs and RPATHs (#2083, #3910)
- Git submodules are properly handled on fetch (#3956)
- Can now set default number of parallel build jobs in
config.yaml
- Improvements to
setup-env.csh
(#4044) - Better default compiler discovery on Mac OS X (#3427)
- clang will automatically mix with gfortran
- Improved compiler detection on Cray machines (#3075)
- Better support for IBM XL compilers
- Better tab completion
- Resume gracefully after prematurely terminated partial installs (#4331)
- Better mesa support (#5170)
Spack would not be possible without our community. Thanks to all of our contributors for the new features and packages in this release!
v0.10.0 (2017-01-17)
This is Spack v0.10.0
. With this release, we will start to push Spack
releases more regularly. This is the last Spack release without
automated package testing. With the next release, we will begin to run
package tests in addition to unit tests.
Spack has grown rapidly from 422 to
1,114 packages,
thanks to the hard work of over 100 contributors. Below is a condensed
version of all the changes since v0.9.1
.
Packages
- Grew from 422 to 1,114 packages
- Includes major updates like X11, Qt
- Expanded HPC, R, and Python ecosystems
Core
- Major speed improvements for spack find and concretization
- Completely reworked architecture support
- Platforms can have front-end and back-end OS/target combinations
- Much better support for Cray and BG/Q cross-compiled environments
- Downloads are now cached locally
- Support installations in deeply nested directories: patch long shebangs using
sbang
Basic usage
- Easier global configuration via config.yaml
- customize install, stage, and cache locations
- Hierarchical configuration scopes: default, site, user
- Platform-specific scopes allow better per-platform defaults
- Ability to set
cflags
,cxxflags
,fflags
on the command line - YAML-configurable support for both Lmod and tcl modules in mainline
spack install
supports --dirty option for emergencies
For developers
- Support multiple dependency types:
build
,link
, andrun
- Added
Package
base classes for custom build systemsAutotoolsPackage
,CMakePackage
,PythonPackage
, etc.spack create
now guesses many more build systems
- Development environment integration with
spack setup
- New interface to pass linking information via
spec
objects- Currently used for
BLAS
/LAPACK
/SCALAPACK
libraries - Polymorphic virtual dependency attributes:
spec['blas'].blas_libs
- Currently used for
Testing & Documentation
- Unit tests run continuously on Travis CI for Mac and Linux
- Switched from
nose
topytest
for unit tests.- Unit tests take 1 minute now instead of 8
- Massively expanded documentation
- Docs are now hosted on spack.readthedocs.io