当前位置： 首页 > news >正文

做网站得做多少网页百度权重工具

news 2025/8/4 5:58:10
做网站得做多少网页,百度权重工具,网站建设提成,网校课程背景 bar1 Base Address Register 1 用于内存映射的寄存器，定义了设备的内存映射区域，BAR1专门分配给gpu的一部分内存区域，允许cpu通过pcie总线直接访问显存VRAM中的数据。但bar1的大小是有限的，在常规的4090上，bar1只…

背景

bar1 Base Address Register 1 用于内存映射的寄存器，定义了设备的内存映射区域，BAR1专门分配给gpu的一部分内存区域，允许cpu通过pcie总线直接访问显存VRAM中的数据。但bar1的大小是有限的，在常规的4090上，bar1只有256M，基于nvidia开源的open-gpu-kernel-modules模块通过将bar1的寄存器地址增大至32G来提高计算效率

系统版本

root@exai-165:~# cat /etc/os-release 
PRETTY_NAME="Ubuntu 22.04.4 LTS"
NAME="Ubuntu"
VERSION_ID="22.04"
VERSION="22.04.4 LTS (Jammy Jellyfish)"
VERSION_CODENAME=jammy
ID=ubuntu
ID_LIKE=debian
HOME_URL="https://www.ubuntu.com/"
SUPPORT_URL="https://help.ubuntu.com/"
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
UBUNTU_CODENAME=jammy
root@exai-165:~# uname -a 
Linux exai-165 6.5.0-44-generic #44~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Tue Jun 18 14:36:16 UTC 2 x86_64 x86_64 x86_64 GNU/Linux

实施

  1. 编译开源的nvidia驱动模块
  2. 编译p2p模块

破解前bar1大小

root@exai-165:/opt# lspci -s 0000:81:00.0 -v
81:00.0 VGA compatible controller: NVIDIA Corporation Device 2684 (rev a1) (prog-if 00 [VGA controller])Subsystem: NVIDIA Corporation Device 167cFlags: bus master, fast devsel, latency 0, IRQ 164, IOMMU group 27Memory at b8000000 (32-bit, non-prefetchable) [size=16M]Memory at 20030000000 (64-bit, prefetchable) [size=256M]  # 这里Memory at 20040000000 (64-bit, prefetchable) [size=32M]I/O ports at 6000 [size=128]Expansion ROM at b9000000 [virtual] [disabled] [size=512K]Capabilities: [60] Power Management version 3Capabilities: [68] MSI: Enable- Count=1/1 Maskable- 64bit+Capabilities: [78] Express Legacy Endpoint, MSI 00Capabilities: [b4] Vendor Specific Information: Len=14 <?>Capabilities: [100] Virtual ChannelCapabilities: [250] Latency Tolerance ReportingCapabilities: [258] L1 PM SubstatesCapabilities: [128] Power Budgeting <?>Capabilities: [420] Advanced Error ReportingCapabilities: [600] Vendor Specific Information: ID=0001 Rev=1 Len=024 <?>Capabilities: [900] Secondary PCI ExpressCapabilities: [bb0] Physical Resizable BARCapabilities: [c1c] Physical Layer 16.0 GT/s <?>Capabilities: [d00] Lane Margining at the Receiver <?>Capabilities: [e00] Data Link Feature <?>Kernel driver in use: nvidiaKernel modules: nvidiafb, nouveau, nvidia_drm, nvidia

nvidia驱动模块

卸载机器上原本的驱动

./NVIDIA-Linux-x86_64-535.183.01.run --uninstall

克隆开源的驱动
自行配置git使用代理

git clone --branch 550.54.15 --single-branch https://github.com/NVIDIA/open-gpu-kernel-modules.git
git branch
git checkout -b 550.54.15

因为机器上的CC和编译内核使用的gcc不是同一个版本，所以这里手工指定make使用哪个gcc

make CC=x86_64-linux-gnu-gcc-12 modules -j$(nproc)
make modules_install CC=x86_64-linux-gnu-gcc-12 modules -j$(nproc)

备注：通过机器上的多版本管理工具来实现cc版本管理不生效
验证

root@exai-165:~# cat /proc/driver/nvidia/version
NVRM version: NVIDIA UNIX Open Kernel Module for x86_64  550.54.15  Release Build  (root@exai-165)  2024年 09月 06日 星期五 10:49:38 CST
GCC version:  gcc version 12.3.0 (Ubuntu 12.3.0-1ubuntu1~22.04)

p2p

https://github.com/tinygrad/open-gpu-kernel-modules
克隆，编译,按照readme里面的来没啥问题

root@exai-165:/opt/nvidia-p2p/open-gpu-kernel-modules# ./install.sh 
make -C src/nvidia
make -C src/nvidia-modeset
make[1]: Entering directory '/opt/nvidia-p2p/open-gpu-kernel-modules/src/nvidia'
make[1]: Entering directory '/opt/nvidia-p2p/open-gpu-kernel-modules/src/nvidia-modeset'
make[1]: Nothing to be done for 'default'.
make[1]: Leaving directory '/opt/nvidia-p2p/open-gpu-kernel-modules/src/nvidia-modeset'
cd kernel-open/nvidia-modeset/ && ln -sf ../../src/nvidia-modeset/_out/Linux_x86_64/nv-modeset-kernel.o nv-modeset-kernel.o_binary
make[1]: Nothing to be done for 'default'.
make[1]: Leaving directory '/opt/nvidia-p2p/open-gpu-kernel-modules/src/nvidia'
cd kernel-open/nvidia/ && ln -sf ../../src/nvidia/_out/Linux_x86_64/nv-kernel.o nv-kernel.o_binary
make -C kernel-open modules
make[1]: Entering directory '/opt/nvidia-p2p/open-gpu-kernel-modules/kernel-open'
make[2]: Entering directory '/usr/src/linux-headers-6.5.0-44-generic'
warning: the compiler differs from the one used to build the kernelThe kernel was built by: x86_64-linux-gnu-gcc-12 (Ubuntu 12.3.0-1ubuntu1~22.04) 12.3.0You are using:           cc (Ubuntu 12.3.0-1ubuntu1~22.04) 12.3.0
make[2]: Leaving directory '/usr/src/linux-headers-6.5.0-44-generic'
make[1]: Leaving directory '/opt/nvidia-p2p/open-gpu-kernel-modules/kernel-open'
make -C kernel-open modules_install
make[1]: Entering directory '/opt/nvidia-p2p/open-gpu-kernel-modules/kernel-open'
make[2]: Entering directory '/usr/src/linux-headers-6.5.0-44-generic'INSTALL /lib/modules/6.5.0-44-generic/kernel/drivers/video/nvidia.koINSTALL /lib/modules/6.5.0-44-generic/kernel/drivers/video/nvidia-uvm.koINSTALL /lib/modules/6.5.0-44-generic/kernel/drivers/video/nvidia-modeset.koINSTALL /lib/modules/6.5.0-44-generic/kernel/drivers/video/nvidia-drm.koINSTALL /lib/modules/6.5.0-44-generic/kernel/drivers/video/nvidia-peermem.koSIGN    /lib/modules/6.5.0-44-generic/kernel/drivers/video/nvidia-peermem.koSIGN    /lib/modules/6.5.0-44-generic/kernel/drivers/video/nvidia-modeset.koSIGN    /lib/modules/6.5.0-44-generic/kernel/drivers/video/nvidia-drm.koSIGN    /lib/modules/6.5.0-44-generic/kernel/drivers/video/nvidia.koSIGN    /lib/modules/6.5.0-44-generic/kernel/drivers/video/nvidia-uvm.koDEPMOD  /lib/modules/6.5.0-44-generic
Warning: modules_install: missing 'System.map' file. Skipping depmod.
make[2]: Leaving directory '/usr/src/linux-headers-6.5.0-44-generic'
make[1]: Leaving directory '/opt/nvidia-p2p/open-gpu-kernel-modules/kernel-open'
Fri Sep  6 15:24:49 2024       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.54.15              Driver Version: 550.54.15      CUDA Version: 12.4     |
|-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA GeForce RTX 4090        Off |   00000000:01:00.0 Off |                  Off |
| 30%   36C    P0             53W /  450W |       0MiB /  24564MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+
|   1  NVIDIA GeForce RTX 4090        Off |   00000000:81:00.0 Off |                  Off |
| 31%   44C    P0             69W /  450W |       0MiB /  24564MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+
|   2  NVIDIA GeForce RTX 4090        Off |   00000000:C1:00.0 Off |                  Off |
| 31%   39C    P0             55W /  450W |       0MiB /  24564MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+
|   3  NVIDIA GeForce RTX 4090        Off |   00000000:C2:00.0 Off |                  Off |
| 31%   42C    P0             64W /  450W |       0MiB /  24564MiB |      3%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------++-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|  No running processes found                                                             |
+-----------------------------------------------------------------------------------------+

验证

root@exai-165:/opt/nvidia-p2p/open-gpu-kernel-modules# lspci -s 0000:81:00.0 -v
81:00.0 VGA compatible controller: NVIDIA Corporation Device 2684 (rev a1) (prog-if 00 [VGA controller])Subsystem: NVIDIA Corporation Device 167cFlags: bus master, fast devsel, latency 0, IRQ 164, IOMMU group 27Memory at b8000000 (32-bit, non-prefetchable) [size=16M]Memory at 18800000000 (64-bit, prefetchable) [size=32G]  # 这里Memory at 18400000000 (64-bit, prefetchable) [size=32M]I/O ports at 6000 [size=128]Expansion ROM at b9000000 [virtual] [disabled] [size=512K]Capabilities: [60] Power Management version 3Capabilities: [68] MSI: Enable- Count=1/1 Maskable- 64bit+Capabilities: [78] Express Legacy Endpoint, MSI 00Capabilities: [b4] Vendor Specific Information: Len=14 <?>Capabilities: [100] Virtual ChannelCapabilities: [250] Latency Tolerance ReportingCapabilities: [258] L1 PM SubstatesCapabilities: [128] Power Budgeting <?>Capabilities: [420] Advanced Error ReportingCapabilities: [600] Vendor Specific Information: ID=0001 Rev=1 Len=024 <?>Capabilities: [900] Secondary PCI ExpressCapabilities: [bb0] Physical Resizable BARCapabilities: [c1c] Physical Layer 16.0 GT/s <?>Capabilities: [d00] Lane Margining at the Receiver <?>Capabilities: [e00] Data Link Feature <?>Kernel driver in use: nvidiaKernel modules: nvidiafb, nouveau, nvidia_drm, nvidia

/var/log/kernel.log中有读取registry address错误的信息，syslog中有不断向内核中注册bar1的信息，判断应该是p2p的版本不兼容4090卡，具体的原因由于其他事情未继续进行，等后面看看
Sep 19 16:33:03 exai-165 kernel: [436359.365867] NVRM: gpuHandleSanityCheckRegReadError_GM107: Possible bad register read: addr: 0x110100, regvalue: 0xbadf5620, error code: Unknown SYS_PRI_ERROR_CODE

回退

即卸载通过open-gpu-kernel-modules编译安装的550.54.15版本，然后重新安装原来的535版本驱动

  1. 卸载内核模块
  2. 卸载550版本驱动
  3. 安装535版本驱动
  4. 如果nvidia-smi无法显示，手工删除550内核模块使用dkms重新编译到内核中

装完535版本驱动报错
nvidia-smi
Failed to initialize NVML: Driver/library version mismatch
NVML library version: 535.183

查看内核中注册的驱动版本

dkms status
nvidia/535.183.01, 6.5.0-44-generic, x86_64: installed

查看驱动内核信息

cat /proc/driver/nvidia/version
NVRM version: NVIDIA UNIX Open Kernel Module for x86_64  550.54.15  Release Build  (root@exai-165)  2024年 09月 06日 星期五 10:49:38 CST
GCC version:  gcc version 12.3.0 (Ubuntu 12.3.0-1ubuntu1~22.04)

查看内核模块

lsmod |grep nvidia
nvidia_drm            122880  0
nvidia_modeset       1490944  1 nvidia_drm
nvidia               8675328  1 nvidia_modeset
video                  73728  1 nvidia_modeset
ecc                    45056  1 nvidia
drm_kms_helper        274432  4 ast,nvidia_drm
drm                   765952  6 drm_kms_helper,ast,drm_shmem_helper,nvidia,nvidia_drm
# 找到内核模块的路径
modinfo nvidia
filename:       /lib/modules/6.5.0-44-generic/kernel/drivers/video/nvidia.ko
import_ns:      DMA_BUF
alias:          char-major-195-*
version:        550.54.15
supported:      external
license:        Dual MIT/GPL
firmware:       nvidia/550.54.15/gsp_tu10x.bin
firmware:       nvidia/550.54.15/gsp_ga10x.bin

卸载内核模块后，手动删除

mkdir /tmp/nvidia-module
mv /lib/modules/6.5.0-44-generic/kernel/drivers/video/nvidia* /tmp/nvidia-module/

此时nvidia-smi显示
nvidia-smi
NVIDIA-SMI has failed because it couldn’t communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running

先卸载再安装

dkms remove -m nvidia -v 535.183.01 --all
dkms install -m nvidia -v 535.183.01

ok

nvidia-smi 
Fri Sep 20 10:14:32 2024       
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.183.01             Driver Version: 535.183.01   CUDA Version: 12.2     |
|-----------------------------------------+----------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |         Memory-Usage | GPU-Util  Compute M. |
|                                         |                      |               MIG M. |
|=========================================+======================+======================|
|   0  NVIDIA GeForce RTX 4090        Off | 00000000:81:00.0 Off |                  Off |
| 30%   34C    P0              64W / 450W |      0MiB / 24564MiB |      0%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+
|   1  NVIDIA GeForce RTX 4090        Off | 00000000:C1:00.0 Off |                  Off |
| 31%   32C    P0              50W / 450W |      0MiB / 24564MiB |      0%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------++---------------------------------------------------------------------------------------+
| Processes:                                                                            |
|  GPU   GI   CI        PID   Type   Process name                            GPU Memory |
|        ID   ID                                                             Usage      |
|=======================================================================================|
|  No running processes found                                                           |
+---------------------------------------------------------------------------------------+

reference:
https://github.com/NVIDIA/open-gpu-kernel-modules
https://github.com/tinygrad/open-gpu-kernel-modules


文章转载自：
http://threnetical.c7624.cn
http://aventurine.c7624.cn
http://harassment.c7624.cn
http://zipcode.c7624.cn
http://algorithmic.c7624.cn
http://neckerchief.c7624.cn
http://vaginal.c7624.cn
http://confederacy.c7624.cn
http://rpi.c7624.cn
http://semiosis.c7624.cn
http://carbonate.c7624.cn
http://unsuccessful.c7624.cn
http://republicanism.c7624.cn
http://vestibular.c7624.cn
http://sulfurate.c7624.cn
http://apomorphine.c7624.cn
http://hydrocracker.c7624.cn
http://gaingiving.c7624.cn
http://resultant.c7624.cn
http://oophyte.c7624.cn
http://housewarming.c7624.cn
http://earn.c7624.cn
http://kindjal.c7624.cn
http://praiseworthily.c7624.cn
http://dagoba.c7624.cn
http://touchhole.c7624.cn
http://rosily.c7624.cn
http://sexist.c7624.cn
http://edentate.c7624.cn
http://dismutation.c7624.cn
http://flueric.c7624.cn
http://subterranean.c7624.cn
http://aggradation.c7624.cn
http://danzig.c7624.cn
http://dashaveyor.c7624.cn
http://gyro.c7624.cn
http://irishwoman.c7624.cn
http://definable.c7624.cn
http://distractible.c7624.cn
http://denicotinize.c7624.cn
http://buyable.c7624.cn
http://norland.c7624.cn
http://whippy.c7624.cn
http://naha.c7624.cn
http://parkland.c7624.cn
http://plumy.c7624.cn
http://heavier.c7624.cn
http://divinization.c7624.cn
http://footway.c7624.cn
http://ladanum.c7624.cn
http://deodorize.c7624.cn
http://influencing.c7624.cn
http://diatessaron.c7624.cn
http://windchill.c7624.cn
http://avadavat.c7624.cn
http://breed.c7624.cn
http://butskell.c7624.cn
http://intervenient.c7624.cn
http://moribund.c7624.cn
http://claudication.c7624.cn
http://pfennig.c7624.cn
http://synovium.c7624.cn
http://metrics.c7624.cn
http://quetzalcoatl.c7624.cn
http://unrestraint.c7624.cn
http://nombril.c7624.cn
http://unicolour.c7624.cn
http://asyntactic.c7624.cn
http://stimulator.c7624.cn
http://xeres.c7624.cn
http://ophthalmitis.c7624.cn
http://ashes.c7624.cn
http://tarantism.c7624.cn
http://eec.c7624.cn
http://multienzyme.c7624.cn
http://piezochemistry.c7624.cn
http://vindaloo.c7624.cn
http://namaqualand.c7624.cn
http://exoderm.c7624.cn
http://ignobly.c7624.cn
http://averment.c7624.cn
http://oospore.c7624.cn
http://dominate.c7624.cn
http://tranquil.c7624.cn
http://tim.c7624.cn
http://coverley.c7624.cn
http://ozonosphere.c7624.cn
http://sexy.c7624.cn
http://amplify.c7624.cn
http://garbageology.c7624.cn
http://qiviut.c7624.cn
http://struck.c7624.cn
http://fanion.c7624.cn
http://clause.c7624.cn
http://herefrom.c7624.cn
http://pagoda.c7624.cn
http://constantia.c7624.cn
http://caboose.c7624.cn
http://herpetology.c7624.cn
http://lufthansa.c7624.cn
http://www.zhongyajixie.com/news/80230.html

相关文章：

  • wordpress安装流程图郑州seo网络推广
  • 用了wordpress的网站长沙的seo网络公司
  • 网站更换主机长沙seo推广优化
  • 专业做网盘资源收录分享的网站北京网站优化推广方案
  • 南宁建筑规划设计集团有限公司搜索引擎优化概述
  • 免费网站建设网站开发公司百度电脑端网页版入口
  • 站长工具排名查询友情链接检测平台
  • 网站的兼容性竞价培训
  • 复古网站设计百度广告投诉电话客服24小时
  • vs做网站的书籍做网站公司哪家正规
  • 导航网站帝国cms模版百度seo指数查询
  • 做视频类网站需要哪些许可推广优化
  • 一个做flash的网站电商运营seo
  • api模式网站开发南宁百度推广代理公司
  • 手机免费注册网站seo高级
  • 石家庄高铁招聘信息网网络营销优化推广公司
  • 网站开发后台框架怎么免费做网站
  • 漳州网站优化垂直搜索引擎
  • 南京网络维护公司百度seo哪家公司好
  • 免费申请杭州seo软件
  • 用织梦做网站有钱途吗抖音seo培训
  • wordpress得到分类id杭州企业seo
  • 网站建网站建设seo帮帮您软文广告经典案例600
  • b2c网站的主要类型重庆seo网站排名
  • 华宁县住房和城乡建设局网站爱论坛
  • 餐饮设计网站建设广告推广公司
  • 网站一般用什么架构百度seo关键词优化推荐
  • 可以做两个网站指向同一个域名无锡seo优化公司
  • 网站建设php的心得和体会技能培训有哪些
  • wordpress it主题英文seo是什么