Linux kernel upgrade steps

本文指导您如何从www.kernel.org下载并升级Linux内核,包括下载最新内核、解压缩文件、配置内核、编译及安装过程。
升级内核

1)当然是下载最新的内核 www.kernel.org

2)我下载的是这个文件linux-2.6.9.tar.gz

3)打开终端(也可用图形方式复制和解压缩)

#cp linux2.6.24.tar.gz /usr/src

#gunzip -d linux-2.6.24.tar.gz

# tar xvf linux-2.6.24.tar

#cd linux-2.6.24

#make mrproper //清理一下也可以不清理我建议使用一下这条命令

#make menuconfig //在2.6.0开始有几种文式 我建义初学者用

#make xconfig //配内核把和你的机器无关的驱动,语言等删除掉注意在这儿的文件系选项的ext3选项按Y它默认是M

#make //编译内核 我的机器花了半个小时

#make modules_install

#make install //安装

#reboot 这时你会以启动菜单里发现多了一个新内核的选项你以前的那个内核还可以用

好了!一切OK啦!

### CUDA 12.3 Installation and Configuration on Linux For ensuring the correct operation of CUDA, it is necessary that the runtime kernel version matches the one present during installation; otherwise, reinstalling the CUDA driver becomes essential[^1]. Before proceeding with the installation or upgrade process for CUDA 12.3, checking the current system's kernel can be done using `uname -r`. If there are discrepancies between the installed kernel headers and what is required by CUDA 12.3, installing appropriate kernel headers via `sudo apt-get install linux-headers-$(uname -r)` may resolve potential issues. When preparing to set up the environment suitable for CUDA 12.3, having an updated graphics driver compatible with this toolkit release plays a critical role. For instance, when dealing with NVIDIA hardware under Linux distributions like Ubuntu 22.04, specific versions such as 550.67 have been noted in procedures involving direct execution files (e.g., `.run` scripts)[^4]. To proceed specifically towards setting up CUDA 12.3: #### Preparing System Environment Ensure all dependencies including development tools and libraries are available before starting the actual setup procedure. ```bash sudo apt update && sudo apt install build-essential cmake git unzip pkg-config libopencv-dev ``` #### Installing Kernel Headers If not already matched, ```bash sudo apt-get install linux-headers-$(uname -r) ``` #### Downloading CUDA Toolkit Obtain the desired version from official sources provided by NVIDIA, focusing here on CUDA 12.3 which should come alongside documentation specifying supported configurations and additional requirements beyond those mentioned above. #### Executing Installer Script Assuming a local copy named `cuda_12.3.*.run`, grant executable permission first: ```bash chmod +x cuda_12.3.*.run ``` Then execute while possibly opting out certain checks depending upon personal needs similar to examples seen previously regarding handling existing symlinks or avoiding conflicts through flags like `-no-x-check`, `-no-nouveau-check`, etc.[^3]: ```bash sudo ./cuda_12.3.*.run --silent --toolkit --override ``` After completing these steps successfully, configuring environmental variables might also become part of post-installation tasks so applications could locate newly added components properly without manual intervention each time they run.
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