diff options
Diffstat (limited to 'lib/spack/docs')
-rw-r--r-- | lib/spack/docs/containers.rst | 61 | ||||
-rw-r--r-- | lib/spack/docs/docker_for_developers.rst | 41 | ||||
-rw-r--r-- | lib/spack/docs/index.rst | 1 | ||||
-rw-r--r-- | lib/spack/docs/workflows.rst | 165 |
4 files changed, 61 insertions, 207 deletions
diff --git a/lib/spack/docs/containers.rst b/lib/spack/docs/containers.rst index 78e79286d2..2590fec8b6 100644 --- a/lib/spack/docs/containers.rst +++ b/lib/spack/docs/containers.rst @@ -79,6 +79,13 @@ Environments: ENTRYPOINT ["/bin/bash", "--rcfile", "/etc/profile", "-l"] +In order to build and run the image, execute: + +.. code-block:: bash + + $ spack containerize > Dockerfile + $ docker build -t myimage . + $ docker run -it myimage The bits that make this automation possible are discussed in details below. All the images generated in this way will be based on @@ -305,3 +312,57 @@ following ``Dockerfile``: Spack can also produce Singularity definition files to build the image. The minimum version of Singularity required to build a SIF (Singularity Image Format) from them is ``3.5.3``. + +-------------- +Best Practices +-------------- + +^^^ +MPI +^^^ +Due to the dependency on Fortran for OpenMPI, which is the spack default +implementation, consider adding ``gfortran`` to the ``apt-get install`` list. + +Recent versions of OpenMPI will require you to pass ``--allow-run-as-root`` +to your ``mpirun`` calls if started as root user inside Docker. + +For execution on HPC clusters, it can be helpful to import the docker +image into Singularity in order to start a program with an *external* +MPI. Otherwise, also add ``openssh-server`` to the ``apt-get install`` list. + +^^^^ +CUDA +^^^^ +Starting from CUDA 9.0, Nvidia provides minimal CUDA images based on +Ubuntu. Please see `their instructions <https://hub.docker.com/r/nvidia/cuda/>`_. +Avoid double-installing CUDA by adding, e.g. + +.. code-block:: yaml + + packages: + cuda: + externals: + - spec: "cuda@9.0.176%gcc@5.4.0 arch=linux-ubuntu16-x86_64" + prefix: /usr/local/cuda + buildable: False + +to your ``spack.yaml``. + +Users will either need ``nvidia-docker`` or e.g. Singularity to *execute* +device kernels. + +^^^^^^^^^^^^^^^^^^^^^^^^^ +Docker on Windows and OSX +^^^^^^^^^^^^^^^^^^^^^^^^^ + +On Mac OS and Windows, docker runs on a hypervisor that is not allocated much +memory by default, and some spack packages may fail to build due to lack of +memory. To work around this issue, consider configuring your docker installation +to use more of your host memory. In some cases, you can also ease the memory +pressure on parallel builds by limiting the parallelism in your config.yaml. + +.. code-block:: yaml + + config: + build_jobs: 2 + diff --git a/lib/spack/docs/docker_for_developers.rst b/lib/spack/docs/docker_for_developers.rst deleted file mode 100644 index 2b489cdec4..0000000000 --- a/lib/spack/docs/docker_for_developers.rst +++ /dev/null @@ -1,41 +0,0 @@ -.. Copyright 2013-2020 Lawrence Livermore National Security, LLC and other - Spack Project Developers. See the top-level COPYRIGHT file for details. - - SPDX-License-Identifier: (Apache-2.0 OR MIT) - -.. _docker_for_developers: - -===================== -Docker for Developers -===================== - -This guide is intended for people who want to use our prepared docker -environments to work on developing Spack or working on spack packages. It is -meant to serve as the companion documentation for the :ref:`packaging-guide`. - --------- -Overview --------- - -To get started, all you need is the latest version of ``docker``. - -.. code-block:: console - - $ cd share/spack/docker - $ source config/ubuntu.bash - $ ./run-image.sh - -This command should drop you into an interactive shell where you can run spack -within an isolated docker container running ubuntu. The copy of spack being -used should be tied to the working copy of your cloned git repo, so any changes -you make should be immediately reflected in the running docker container. Feel -free to add or modify any packages or to hack on spack, itself. Your contained -copy of spack should immediately reflect all changes. - -To work within a container running a different linux distro, source one of the -other environment files under ``config``. - -.. code-block:: console - - $ source config/fedora.bash - $ ./run-image.sh diff --git a/lib/spack/docs/index.rst b/lib/spack/docs/index.rst index 8170f152a4..39fee81387 100644 --- a/lib/spack/docs/index.rst +++ b/lib/spack/docs/index.rst @@ -85,7 +85,6 @@ or refer to the full manual below. packaging_guide build_systems developer_guide - docker_for_developers .. toctree:: :maxdepth: 2 diff --git a/lib/spack/docs/workflows.rst b/lib/spack/docs/workflows.rst index 4a56563283..4d3a97012c 100644 --- a/lib/spack/docs/workflows.rst +++ b/lib/spack/docs/workflows.rst @@ -1034,171 +1034,6 @@ The main points that are implemented below: - make -j 2 - make test -.. _workflow_create_docker_image: - ------------------------------------ -Using Spack to Create Docker Images ------------------------------------ - -Spack can be the ideal tool to set up images for Docker (and Singularity). - -An example ``Dockerfile`` is given below, downloading the latest spack -version. - -The following functionality is prepared: - -#. Base image: the example starts from a minimal ubuntu. - -#. Pre-install the spack dependencies. - Package installs are followed by a clean-up of the system package index, - to avoid outdated information and it saves space. - -#. Install spack in ``/usr/local``. - Add ``setup-env.sh`` to profile scripts, so commands in *login* shells - can use the whole spack functionality, including modules. - -#. Install an example package (``tar``). - As with system package managers above, ``spack install`` commands should be - concatenated with a ``&& spack clean -a`` in order to keep image sizes small. - -#. Add a startup hook to an *interactive login shell* so spack modules will be - usable. - -In order to build and run the image, execute: - -.. code-block:: bash - - docker build -t spack . - docker run -it spack - -.. code-block:: docker - - FROM ubuntu:16.04 - MAINTAINER Your Name <someone@example.com> - - # general environment for docker - ENV DEBIAN_FRONTEND=noninteractive \ - SPACK_ROOT=/usr/local - - # install minimal spack dependencies - RUN apt-get update \ - && apt-get install -y --no-install-recommends \ - autoconf \ - build-essential \ - ca-certificates \ - coreutils \ - curl \ - environment-modules \ - git \ - python \ - unzip \ - vim \ - && rm -rf /var/lib/apt/lists/* - - # load spack environment on login - RUN echo "source $SPACK_ROOT/share/spack/setup-env.sh" \ - > /etc/profile.d/spack.sh - - # spack settings - # note: if you wish to change default settings, add files alongside - # the Dockerfile with your desired settings. Then uncomment this line - #COPY packages.yaml modules.yaml $SPACK_ROOT/etc/spack/ - - # install spack - RUN curl -s -L https://api.github.com/repos/spack/spack/tarball \ - | tar xzC $SPACK_ROOT --strip 1 - # note: at this point one could also run ``spack bootstrap`` to avoid - # parts of the long apt-get install list above - - # install software - RUN spack install tar \ - && spack clean -a - - # need the executables from a package already during image build? - #RUN /bin/bash -l -c ' \ - # spack load tar \ - # && which tar' - - # image run hook: the -l will make sure /etc/profile environments are loaded - CMD /bin/bash -l - -^^^^^^^^^^^^^^ -Best Practices -^^^^^^^^^^^^^^ - -""" -MPI -""" -Due to the dependency on Fortran for OpenMPI, which is the spack default -implementation, consider adding ``gfortran`` to the ``apt-get install`` list. - -Recent versions of OpenMPI will require you to pass ``--allow-run-as-root`` -to your ``mpirun`` calls if started as root user inside Docker. - -For execution on HPC clusters, it can be helpful to import the docker -image into Singularity in order to start a program with an *external* -MPI. Otherwise, also add ``openssh-server`` to the ``apt-get install`` list. - -"""" -CUDA -"""" -Starting from CUDA 9.0, Nvidia provides minimal CUDA images based on -Ubuntu. -Please see `their instructions <https://hub.docker.com/r/nvidia/cuda/>`_. -Avoid double-installing CUDA by adding, e.g. - -.. code-block:: yaml - - packages: - cuda: - externals: - - spec: "cuda@9.0.176%gcc@5.4.0 arch=linux-ubuntu16-x86_64" - prefix: /usr/local/cuda - buildable: False - -to your ``packages.yaml``. -Then ``COPY`` in that file into the image as in the example above. - -Users will either need ``nvidia-docker`` or e.g. Singularity to *execute* -device kernels. - -""""""""""" -Singularity -""""""""""" -Importing and running the image created above into -`Singularity <http://singularity.lbl.gov/>`_ works like a charm. -Just use the `docker bootstraping mechanism <http://singularity.lbl.gov/quickstart#bootstrap-recipes>`_: - -.. code-block:: none - - Bootstrap: docker - From: registry/user/image:tag - - %runscript - exec /bin/bash -l - -"""""""""""""""""""""" -Docker for Development -"""""""""""""""""""""" - -For examples of how we use docker in development, see -:ref:`docker_for_developers`. - -""""""""""""""""""""""""" -Docker on Windows and OSX -""""""""""""""""""""""""" - -On Mac OS and Windows, docker runs on a hypervisor that is not allocated much -memory by default, and some spack packages may fail to build due to lack of -memory. To work around this issue, consider configuring your docker installation -to use more of your host memory. In some cases, you can also ease the memory -pressure on parallel builds by limiting the parallelism in your config.yaml. - -.. code-block:: yaml - - config: - build_jobs: 2 - ------------------ Upstream Bug Fixes ------------------ |