autopas/autopas-build-intel
autopas
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AutoPas-Dockerfiles
This repository provides a variety of Dockerfiles for the https://github.com/AutoPas/AutoPas library. They are sorted in directories according to the task they are meant to fulfill:
Prebuild docker-images can be found at https://hub.docker.com/r/autopas/
buildenv
Files in the buildenv directory are meant to build AutoPas. You can build AutoPas without installing any dependencies simply by using the generated images.
The generated images are used by Jenkins to test the AutoPas library.
archer
This file is used to check OpenMP data races. It uses the https://github.com/llvm/llvm-project/tree/master/openmp/tools/archer/. The file includes:
- make
- ccache
- cmake
- ninja
- clang v10
- llvm openmp library (v10) with bundled archer - it is automatically loaded when clang is used as compiler.
Important: export TSAN_OPTIONS="ignore_noninstrumented_modules=1" is recommended for archer.
clang
This file is used to build the AutoPas library using clang. It contains:
- make
- ccache
- cmake
- ninja
- clang v6.0
- libomp
- clang-format-6.0
code-coverage
This file is used for code coverage purposes. You can build AutoPas in a code-coverage version using the file. It includes:
- python
- gcc
- cmake
- ninja
- lcov + gcov
- gcovr
- ccache
cuda
This file is used to build the AutoPas library using cuda. It contains:
- make
- cmake
- ninja
- cuda v10.0
doxygen
This file is used to build the doxygen documentation. It includes:
- make
- cmake
- doxygen
- graphviz
gcc
This file is used to build the AutoPas library using gcc. It contains:
- gcc7
- make
- cmake
- ninja
- mpich
- ccache
other uses
Many of the provided Doxygen images / Doxyfiles can be used to build other things. Feel free to grab them and use them for your own purposes.
镜像拉取方式
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本，请访问 标签列表页面。
轩辕镜像加速拉取命令点我查看更多 autopas-build-intel 镜像标签
docker pull docker.xuanyuan.run/autopas/autopas-build-intel:<标签>
DockerHub 原生拉取命令
docker pull autopas/autopas-build-intel:<标签>
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oldzhang
运维工程师
Linux服务器
5
"Docker访问体验非常流畅，大镜像也能快速完成下载。"