mirror of https://github.com/intel/intel-qs.git
86 lines
3.5 KiB
Docker
86 lines
3.5 KiB
Docker
##------------------------------------------------------------------------------
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## Copyright 2019 Intel Corporation
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##
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## Licensed under the Apache License, Version 2.0 (the "License");
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## you may not use this file except in compliance with the License.
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## You may obtain a copy of the License at
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##
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## http://www.apache.org/licenses/LICENSE-2.0
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##
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## Unless required by applicable law or agreed to in writing, software
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## distributed under the License is distributed on an "AS IS" BASIS,
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## WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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## See the License for the specific language governing permissions and
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## limitations under the License.
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##------------------------------------------------------------------------------
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# Use an official Ubuntu linux image as the run time environment.
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FROM ubuntu:latest
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# Fetch and install the GNU Make utility.
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RUN apt-get update && apt-get install -y build-essential g++ make
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# Fetch and install a generic MPI implementation.
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RUN apt-get update && DEBIAN_FRONTEND=nonitneractive apt-get install -y mpich
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# Fetch and install OpenSSH (client/server) for interacting between
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# nodes of the cluster in a Docker swarm configuration.
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RUN apt-get update && apt-get install -y openssh-client
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RUN apt-get update && apt-get install -y openssh-server
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# Fetch and install CMake 3.15 as required by Intel-QS build process.
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WORKDIR swpkgs/cmake3.15
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RUN wget "https://github.com/Kitware/CMake/releases/download/v3.15.2/cmake-3.15.2-Linux-x86_64.tar.gz"
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RUN tar -xzf cmake-3.15.2-Linux-x86_64.tar.gz -C /usr/local/ --strip-components=1
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# Fetch and install the Intel MKL libraries required for building the Intel-QS simulator.
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WORKDIR swpkgs/mkl
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RUN wget "https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB"
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RUN apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB
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RUN rm GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB
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RUN sh -c 'echo deb https://apt.repos.intel.com/mkl all main > /etc/apt/sources.list.d/intel-mkl.list'
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RUN sh -c 'echo deb https://apt.repos.intel.com/mpi all main > /etc/apt/sources.list.d/intel-mpi.list'
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RUN sh -c 'echo deb https://apt.repos.intel.com/tbb all main > /etc/apt/sources.list.d/intel-tbb.list'
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RUN apt-get update
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RUN apt-get install -y intel-mkl-64bit-2019.2-057
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RUN apt-get install -y intel-mpi-2019.2-057
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RUN apt-get install -y intel-tbb-2019.2-057
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# Set the (global) environment variable MKLROOT to facilitate the build process.
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RUN echo 'export MKLROOT="/opt/intel/mkl"' >> /etc/bash.bashrc
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RUN export MKLROOT="/opt/intel/mkl"
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# Install libraries for OpenMP.
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RUN apt-get install -y libomp-dev
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# Install GIT (needed to install the dependency of Googletest).
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WORKDIR swpkgs/git
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RUN apt-get update && \
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apt-get upgrade -y && \
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apt-get install -y git
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# Setup the local build environment for the simulation framework.
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WORKDIR /root/intelqs
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COPY . /root/intelqs
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#FIXME
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# For stability reasons, the container should not be used as 'root'.
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# A new user is created, named 'user':
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#RUN useradd --home-dir /home/user --create-home user
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#WORKDIR /home/user/intelqs
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#COPY . /home/user/intelqs
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# install lib for missing pthread module
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RUN apt-get -y install libboost-all-dev
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# installing and configuring conda env
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RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh
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RUN bash ~/miniconda.sh -b -p $HOME/miniconda
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ENV PATH="/root/miniconda/bin:$PATH"
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RUN /bin/bash -c ". ~/.bashrc && \
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conda install -y notebook && \
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conda install -y pybind11 && \
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conda install -y numpy && \
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conda install -y matplotlib"
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# Dockerfile Ends here
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