【图文】鲲鹏916-ARM64架构源码gcc编译完整记录
1、准备阶段
- 查看系统架构
[root@pc-deeplearning-1 ~]# hostnamectl
Static hostname: pc-deeplearning-1
Icon name: computer-vm
Chassis: vm
Machine ID: 65a539173aca43bca524c9829d298907
Boot ID: 0c07a5693c01472ba997bd83cb43f05b
Virtualization: kvm
Operating System: CentOS Linux 7 (AltArch)
CPE OS Name: cpe:/o:centos:centos:7
Kernel: Linux 4.14.0-115.el7a.0.1.aarch64
Architecture: arm64
[root@pc-deeplearning-1 ~]#
- 查看系统版本
[root@pc-deeplearning-1 ~]# cat /etc/redhat-release
CentOS Linux release 7.6.1810 (AltArch)
[root@pc-deeplearning-1 ~]#
- 查看虚拟机cpu核数
[root@pc-deeplearning-1 lib64]# lscpu
Architecture: aarch64
Byte Order: Little Endian
CPU(s): 32
On-line CPU(s) list: 0-31
Thread(s) per core: 1
Core(s) per socket: 16
Socket(s): 2
NUMA node(s): 1
Model: 2
BogoMIPS: 100.00
NUMA node0 CPU(s): 0-31
Flags: fp asimd evtstrm aes pmull sha1 sha2 crc32 cpuid
[root@pc-deeplearning-1 lib64]#
- 查看虚拟机内存容量
[root@pc-deeplearning-1 lib64]# free -h
total used free shared buff/cache available
Mem: 31G 659M 12G 668M 19G 24G
Swap: 0B 0B 0B
[root@pc-deeplearning-1 lib64]#
2、安装cmake
2.1检查cmake是否安装
rpm -qa |grep cmake
如果未安装，需要安装。
2.2安装cmake
[root@pc-deeplearning-1 src]# yum repolist
[root@pc-deeplearning-1 src]# yum provides cmake
Loaded plugins: fastestmirror, langpacks
Loading mirror speeds from cached hostfile
* base: mirrors.huaweicloud.com
* extras: mirrors.huaweicloud.com
* updates: mirrors.huaweicloud.com
cmake-2.8.12.2-2.el7.aarch64 : Cross-platform make system
Repo : base
[root@pc-deeplearning-1 src]#
[root@pc-deeplearning-1 src]# yum -y install cmake
Complete!
[root@pc-deeplearning-1 src]#
2.3查看cmake版本
[root@pc-deeplearning-1 src]# cmake -version
cmake version 2.8.12.2
[root@pc-deeplearning-1 src]#
3、安装依赖包
3.1安装以下依赖包
yum -y install bison* ncurses*
yum -y install bzip2 wget
3.2检查依赖安装包是否安装成功
[root@pc-deeplearning-1 src]# rpm -qa | grep bison*
libisofs-1.2.8-4.el7.aarch64
bison-3.0.4-2.el7.aarch64
[root@pc-deeplearning-1 src]#
[root@pc-deeplearning-1 src]# rpm -qa | grep ncurses*
ncurses-libs-5.9-14.20130511.el7_4.aarch64
ncurses-base-5.9-14.20130511.el7_4.noarch
ncurses-5.9-14.20130511.el7_4.aarch64
[root@pc-deeplearning-1 src]#
[root@pc-deeplearning-1 src]# rpm -qa | grep bzip2
bzip2-1.0.6-13.el7.aarch64
bzip2-libs-1.0.6-13.el7.aarch64
[root@pc-deeplearning-1 src]#
[root@pc-deeplearning-1 src]# rpm -qa | grep wget
wget-1.14-18.el7.aarch64
[root@pc-deeplearning-1 src]#
4、gcc下载、编译安装
4.1检查gcc的版本
[root@pc-deeplearning-1 src]# gcc --version
gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-36)
Copyright (C) 2015 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
[root@pc-deeplearning-1 src]#
版本太低，需要下载更新版本
4.2下载gcc7.3
[root@pc-deeplearning-1 software]# wget https://mirrors.tuna.tsinghua.edu.cn/gnu/gcc/gcc-7.3.0/gcc-7.3.0.tar.gz
2020-11-15 17:49:07 (440 KB/s) - ‘gcc-7.3.0.tar.gz’ saved [112201917/112201917]
[root@pc-deeplearning-1 software]#
4.3解压gcc7.3安装包
[root@pc-deeplearning-1 software]# tar -zxf gcc-7.3.0.tar.gz
[root@pc-deeplearning-1 software]#
4.4在“gcc-7.3.0”目录下，检查gcc的依赖包是否已下载和安装
[root@pc-deeplearning-1 software]# cd gcc-7.3.0/
[root@pc-deeplearning-1 gcc-7.3.0]# ./contrib/download_prerequisites
gmp-6.1.0.tar.bz2: OK
mpfr-3.1.4.tar.bz2: OK
mpc-1.0.3.tar.gz: OK
isl-0.16.1.tar.bz2: OK
All prerequisites downloaded successfully.
[root@pc-deeplearning-1 gcc-7.3.0]#
可以看到已经下载完isl、gmp、mpc、mpfr
4.5编译gcc。
“-j”参数可利用多核CPU加快编译速度，在本操作中，使用的是32核CPU，所以此处为“-j32”。
（注意：一上来是按照鲲鹏软件栈官方文档操作，make -j16，然后速度很慢；听大神指点，Ctrl-C中断后又make -j32，速度很快）
4.5.1可通过下述命令查询CPU核数：
[root@pc-deeplearning-1 gcc-7.3.0]# cat /proc/cpuinfo| grep "processor"| wc -l
32
[root@pc-deeplearning-1 gcc-7.3.0]#
4.5.2查看当前所在目录
[root@pc-deeplearning-1 gcc-7.3.0]# pwd
/opt/software/gcc-7.3.0
[root@pc-deeplearning-1 gcc-7.3.0]#
4.5.3创建gcc编译目录
[root@pc-deeplearning-1 gcc-7.3.0]# mkdir gcc-build-7.3.0
[root@pc-deeplearning-1 gcc-7.3.0]# cd gcc-build-7.3.0
[root@pc-deeplearning-1 gcc-build-7.3.0]# pwd
/opt/software/gcc-7.3.0/gcc-build-7.3.0
[root@pc-deeplearning-1 gcc-build-7.3.0]#
[root@pc-deeplearning-1 gcc-build-7.3.0]# ../configure --enable-checking=release --enable-language=c,c++ --disable-multilib --prefix=/usr
4.5.4 因为32vcpu，所以用make -j32去编译去跑
[root@pc-deeplearning-1 gcc-build-7.3.0]# make -j32
4.5.5执行安装
[root@pc-deeplearning-1 gcc-build-7.3.0]# make install
4.5.6确定“libstdc++.so”是在“/usr/lib64”目录下
[root@pc-deeplearning-1 gcc-build-7.3.0]# cd /usr/lib64
查询“libstdc++.so”所在位置
[root@pc-deeplearning-1 lib64]# ll |grep libstdc++.so
lrwxrwxrwx. 1 root root 19 Nov 15 19:48 libstdc++.so -> libstdc++.so.6.0.24
lrwxrwxrwx. 1 root root 19 Nov 15 19:48 libstdc++.so.6 -> libstdc++.so.6.0.24
-rwxr-xr-x. 1 root root 1057320 Oct 30 2018 libstdc++.so.6.0.19
-rwxr-xr-x. 1 root root 11844176 Nov 15 19:48 libstdc++.so.6.0.24
-rw-r--r--. 1 root root 2385 Nov 15 19:48 libstdc++.so.6.0.24-gdb.py
lrwxrwxrwx. 1 root root 19 Mar 20 2020 libstdc++.so.6.old -> libstdc++.so.6.0.19
[root@pc-deeplearning-1 lib64]#
确定软连接存在
[root@pc-deeplearning-1 lib64]# ll |grep libstdc++.so.6.0.24
lrwxrwxrwx. 1 root root 19 Nov 15 19:48 libstdc++.so -> libstdc++.so.6.0.24
lrwxrwxrwx. 1 root root 19 Nov 15 19:48 libstdc++.so.6 -> libstdc++.so.6.0.24
-rwxr-xr-x. 1 root root 11844176 Nov 15 19:48 libstdc++.so.6.0.24
-rw-r--r--. 1 root root 2385 Nov 15 19:48 libstdc++.so.6.0.24-gdb.py
[root@pc-deeplearning-1 lib64]#
5、查看gcc版本
[root@pc-deeplearning-1 lib64]# gcc -v
Using built-in specs.
COLLECT_GCC=gcc
COLLECT_LTO_WRAPPER=/usr/libexec/gcc/aarch64-unknown-linux-gnu/7.3.0/lto-wrapper
Target: aarch64-unknown-linux-gnu
Configured with: ../configure --enable-checking=release --enable-language=c,c++ --disable-multilib --prefix=/usr
Thread model: posix
gcc version 7.3.0 (GCC)
[root@pc-deeplearning-1 lib64]#
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