说明#编译设置#make defconfig # 默认配置
make clean # 确保从0开始构建
time make -j16 # 并行作业数16
E楼Ⅱ区203的台式电脑#配置#OS:Open KylinCPU: 12 th Gen Intel Core i7-12700 物理核12个,超线程后逻辑核(操作系统视角)有20个RAM: 16 GB结果#Kernel: arch/x86/boot/bzImage is ready (#1)
real 2m2.012s
user 26m13.276s
sys 3m9.367s
E楼Ⅱ区207的台式电脑#配置#OS:Ubuntu 18.04CPU: Intel Core i5-9500(物理核6个,没有超线程)RAM: 8 GB结果#Kernel: arch/x86/boot/bzImage is ready (#1)
real 3m29.480s
user 17m34.758s
sys 1m69.298s
Gitpod上的虚拟机资源(免费)#配置#OS:Ubuntu 22.04CPU:8 cores(Gitpod定义,详细查看Gitpod Docs)RAM:16 GB结果#Kernel: arch/x86/boot/bzImage is ready (#1)
real 5m14.017s
user 30m24.471s
sys 4m8.968s
我的笔记本电脑#配置#OS:Windows Subsystem Linux Ubuntu 22.04CPU:11 th Gen Intel Core i5-1135G7 物理核4个,超线程后逻辑核有8个结果#Kernel: arch/x86/boot/bzImage is ready (#1)
real 5m4.384s
user 35m47.059s
sys 2m27.786s
补充# 我的笔记本上其实也装了Ubuntu 22.04,但一编译内核就发热,风扇狂转,自动关机了,也不知道原因,因此只能在Windows Subsystem Linux下测个数据,个人感觉WSL的效率已经很高了。
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