本文主要是介绍Linux下编译安装SuperLU，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
SuperLU用于求解大规模稀疏线性方程组，本文记录在远程Linux服务器下编译安装SuperLU的流程。
一、配置VS Code
2.1 安装VS Code Extensions
在本地打开VS Code, 安装以下扩展插件，
| Task Explorer Output Colorizer Git Extension Pack Remote Developement Remote X11 | |
| C/C++ Extension Pack C++ TestMate | |
| Modern Fortran FORTRAN InstelliSense Fortran Breakpoint Support | |
| Extension Pack for Intel Software Developer Tools |
2.2 Remote SSH
通过"Remote Development"扩展插件登录远程Linux服务器，并安装以下插件
| C/C++ Extension Pack C++ TestMate | |
| Modern Fortran FORTRAN InstelliSense Fortran Breakpoint Support | |
| Extension Pack for Intel Software Developer Tools |
二、安装与配置oneAPI
1.1 配置包管理器
wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB \
| gpg --dearmor | sudo tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/nullecho "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" | sudo tee /etc/apt/sources.list.d/oneAPI.listsudo apt update1.2 安装
sudo apt -y install cmake pkg-config build-essential1.3 安装oneAPI
sudo apt install intel-basekit
sudo apt install intel-hpckit1.4 配置CMake Kits
打开VS Code， 执行"CMake: Edit User-Local CMake Kits"，编辑“~/.local/share/CMakeTools/cmake-tools-kits.json”文件，
[{"name": "GCC 11.4.0 x86_64-linux-gnu","compilers": {"C": "/usr/bin/gcc","CXX": "/usr/bin/g++"},"isTrusted": true},{"name": "Intel(R) oneAPI DPC++/C++ Compiler 2024.2.1","compilers": {"C": "/opt/intel/oneapi/compiler/2024.2/bin/icx","CXX": "/opt/intel/oneapi/compiler/2024.2/bin/icpx"},"isTrusted": true}
]1.5 oneAPI环境变量配置
编辑"~/.bashrc"文件，添加以下内容，
source /opt/intel/oneapi/setvars.sh --force然后重启远程服务器，在本地重新通过"VS Code"连接远程Linux服务器。
三、编译安装SuperLU
3.1 下载SuperLU
git https://github.com/xiaoyeli/superlu.git
cd ./superlu
git checkout v7.0.03.2 编译安装SuperLU
可以使用CMake Kits或者CMake Presets来构建SuperLU，
方法1： 使用CMake Kits
选择"Intel(R) oneAPI DPC++/C++ Compiler 2024.2.1", 使用在VS Code中使用CMake Tools完成构建，同时做如下配置修改，
| CMAKE_C_FLAGS | -fPIC |
| CMAKE_BUILD_TYPE | Release |
| BUILD_SHARED_LIBS | ON |
| BUILD_TESTING | OFF |
| enable_tests | OFF |
| CMAKE_INSTALL_PREFIX | /data/3rdparty/install/intel-opt-dto |
方法2： 使用CMake Presets
在superlu目录下，编辑CMakeUserPresets.json文件，
{"version": 4,"configurePresets": [{"name": "linux_default","hidden": true,"displayName": "Default Linux Config","description": "Default build using Unix Makefiles generator","generator": "Unix Makefiles","binaryDir": "${sourceDir}/out/build/${presetName}","cacheVariables": {"CMAKE_INSTALL_PREFIX": "${sourceDir}/out/install/${presetName}","CMAKE_BUILD_TYPE": "Debug"}},{"name": "linux_gcc","inherits": "linux_default","displayName": "GCC 11.4.0 x86_64-linux-gnu","description": "Using compilers: C = /usr/bin/gcc, CXX = /usr/bin/g++","cacheVariables": {"CMAKE_C_COMPILER": "/usr/bin/gcc","CMAKE_CXX_COMPILER": "/usr/bin/g++","CMAKE_MAKE_PROGRAM": "/usr/bin/make"}},{"name": "linux_intel","inherits": "linux_default","displayName": "Intel(R) oneAPI DPC++/C++ Compiler 2024.0.2","description": "Using compilers: C = /opt/intel/oneapi/compiler/latest/bin/icx, CXX = /opt/intel/oneapi/compiler/latest/bin/icpx","cacheVariables": {"CMAKE_C_COMPILER": "/opt/intel/oneapi/compiler/latest/bin/icx","CMAKE_CXX_COMPILER": "/opt/intel/oneapi/compiler/latest/bin/icpx"}}],"buildPresets": [{"name": "linux_gcc","description": "","displayName": "","configurePreset": "linux_gcc"},{"name": "linux_intel","description": "","displayName": "","configurePreset": "linux_intel"}]
}然后在VS Code CMake Tools中，修改CMake Cache,
| CMAKE_C_FLAGS | -fPIC |
| CMAKE_BUILD_TYPE | Release |
| BUILD_SHARED_LIBS | ON |
| BUILD_TESTING | OFF |
| enable_tests | OFF |
| CMAKE_INSTALL_PREFIX | /data/3rdparty/install/intel-opt-dto |
3.3 检查SuperLU连接引用
检查编译生成的libsuperlu.so是否正常链接到了oneAPI MKL，
ldd /data/3rdparty/install/intel-opt-dto/lib/libsuperlu.solinux-vdso.so.1 (0x00007ffc24be1000)libmkl_intel_lp64.so.2 => /opt/intel/oneapi/mkl/2024.2/lib/libmkl_intel_lp64.so.2 (0x00007dd914c00000)libmkl_intel_thread.so.2 => /opt/intel/oneapi/mkl/2024.2/lib/libmkl_intel_thread.so.2 (0x00007dd912800000)libmkl_core.so.2 => /opt/intel/oneapi/mkl/2024.2/lib/libmkl_core.so.2 (0x00007dd90e800000)libiomp5.so => /opt/intel/oneapi/compiler/2024.2/lib/libiomp5.so (0x00007dd90e200000)libimf.so => /opt/intel/oneapi/compiler/2024.2/lib/libimf.so (0x00007dd90dc00000)libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007dd915b88000)libsvml.so => /opt/intel/oneapi/compiler/2024.2/lib/libsvml.so (0x00007dd90c400000)libirng.so => /opt/intel/oneapi/compiler/2024.2/lib/libirng.so (0x00007dd914b07000)libintlc.so.5 => /opt/intel/oneapi/compiler/2024.2/lib/libintlc.so.5 (0x00007dd915b25000)libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007dd90c000000)libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007dd915b20000)libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007dd915b1b000)librt.so.1 => /lib/x86_64-linux-gnu/librt.so.1 (0x00007dd915b16000)/lib64/ld-linux-x86-64.so.2 (0x00007dd915d2e000)可以看到，SuperLU实际上是链接到了LP64接口的MKL。若想SuperLU链接到ILP64接口的MKL，需要做如下CMake配置，
| BLA_SIZEOF_INTEGER | 8 |
| BLA_VENDOR | Intel10_64ilp |
四、FAQs
Q. 在主程序中同时引用oneMKL、SuperLU，运行时调用oneMKL API报错。
A. 这个可能是由于libmkl_intel_lp64.so/libmkl_intel_ilp64.so混合调用所致。可考虑将CMake Cache “MKL_INTERFACE”设置为"lp64"，这样会在主程序中使用"LP64"接口的MKL。
网络资料
Intel® oneAPI Toolkits Installation Guides
https://www.intel.com/content/www/us/en/developer/articles/guide/installation-guide-for-oneapi-toolkits.html
Get Started with the Intel® oneAPI Base Toolkit for Linux*https://www.intel.com/content/www/us/en/docs/oneapi-base-toolkit/get-started-guide-linux/2024-0/overview.html
Get Started with the Intel® HPC Toolkit for Linux*https://www.intel.com/content/www/us/en/docs/oneapi-hpc-toolkit/get-started-guide-linux/2024-0/overview.html
Using Visual Studio Code with Intel® oneAPI Toolkits User Guidehttps://www.intel.com/content/www/us/en/docs/oneapi/user-guide-vs-code/2024-2/overview.html
How to use CMake with Intel® oneAPI Toolkithttps://www.intel.com/content/www/us/en/developer/articles/technical/how-to-use-cmake-with-intel-oneapi-toolkits.html?wapkw=cmake
SuperLU: Home Page (nersc.gov)https://portal.nersc.gov/project/sparse/superlu/#superluUsing the ILP64 Interface vs. LP64 Interfacehttps://www.intel.com/content/www/us/en/docs/onemkl/developer-guide-windows/2023-0/using-the-ilp64-interface-vs-lp64-interface.html
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