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Linux常用命令

linux常用命令

系统

查看系统版本

cat /proc/version

实例结果

Linux version 4.4.0-112-generic (buildd@lgw01-amd64-010) (gcc version 5.4.0 20160609 (Ubuntu 5.4.0-6ubuntu1~16.04.5) ) #135-Ubuntu SMP Fri Jan 19 11:48:36 UTC 2018

CPU

查看CPU信息

cat  /proc/cpuinfo

实例结果

processor       : 0
vendor_id       : GenuineIntel
cpu family      : 6
model           : 63
model name      : Intel(R) Xeon(R) CPU E5-2673 v3 @ 2.40GHz
stepping        : 2
microcode       : 0x3a
cpu MHz         : 1200.000
cache size      : 30720 KB
physical id     : 0
siblings        : 24
core id         : 0
cpu cores       : 12
apicid          : 0
initial apicid  : 0
fpu             : yes
fpu_exception   : yes
cpuid level     : 15
wp              : yes
flags           : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf eagerfpu pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm epb invpcid_single kaiser tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm xsaveopt cqm_llc cqm_occup_llc dtherm ida arat pln pts
bugs            :
bogomips        : 4800.24
clflush size    : 64
cache_alignment : 64
address sizes   : 46 bits physical, 48 bits virtual
power management:
 
processor       : 1
vendor_id       : GenuineIntel
cpu family      : 6
model           : 63
model name      : Intel(R) Xeon(R) CPU E5-2673 v3 @ 2.40GHz
stepping        : 2
microcode       : 0x3a
cpu MHz         : 1207.687
cache size      : 30720 KB
physical id     : 0
siblings        : 24
core id         : 1
cpu cores       : 12
apicid          : 2
initial apicid  : 2
fpu             : yes
fpu_exception   : yes
cpuid level     : 15
wp              : yes
flags           : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf eagerfpu pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm epb invpcid_single kaiser tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm xsaveopt cqm_llc cqm_occup_llc dtherm ida arat pln pts
bugs            :
bogomips        : 4800.24
clflush size    : 64
cache_alignment : 64
address sizes   : 46 bits physical, 48 bits virtual
power management:

内存

查看内存及用量(M为单位)

free -m

示例结果

             total        used        free      shared  buff/cache   available
Mem:         128806        7115      115910          77        5780      120877
Swap:             0           0           0

查看内存及用量(G为单位):

free -g

示例结果:

             total        used        free      shared  buff/cache   available
Mem:            125           6         113           0           5         118
Swap:             0           0           0

硬盘用量

查看各分区使用情况:

df -h

示例结果:

Filesystem      Size  Used Avail Use% Mounted on
udev             63G     0   63G   0% /dev
tmpfs            13G   66M   13G   1% /run
/dev/sda1       224G  101G  113G  48% /
tmpfs            63G  352K   63G   1% /dev/shm
tmpfs           5.0M  4.0K  5.0M   1% /run/lock

查看当前目录文件及文件夹大小:

du -sh *

示例结果:

6.9G    anaconda3
213M    cuda_samples
7.9M    Desktop
8.0K    Documents
7.1G    Downloads

GPU

查看 GPU 使用情况:

nvidia-smi

示例结果:

Sun Mar 11 15:34:14 2018       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 384.111                Driver Version: 384.111                   |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 1080    Off  | 00000000:02:00.0  On |                  N/A |
|  0%   36C    P8    15W / 320W |    224MiB /  8105MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|    0      1322      G   /usr/lib/xorg/Xorg                           178MiB |
|    0      1880      G   compiz                                        43MiB |
+-----------------------------------------------------------------------------+

进程

查看所有进程:

ps -ef

示例结果:

UID        PID  PPID  C STIME TTY          TIME CMD
root         1     0  0 Feb09 ?        00:00:15 /sbin/init splash
root         2     0  0 Feb09 ?        00:00:00 [kthreadd]
root         3     2  0 Feb09 ?        00:00:05 [ksoftirqd/0]
root         5     2  0 Feb09 ?        00:00:00 [kworker/0:0H]
root         6     2  0 Feb09 ?        00:00:01 [kworker/u96:0]

筛选进程:

ps -ef | grep python

示例结果:

chen      6466 44495  0 Mar09 ?        00:01:56 /usr/bin/python2 -m ipykernel_launcher -f /run/user/1000/jupyter/kernel-218926a1-f3b9-4410-bffb-1de1341732be.json
chen     11630 44495  0 Mar09 ?        00:00:13 /home/chen/anaconda3/bin/python -m ipykernel_launcher -f /run/user/1000/jupyter/kernel-c2942b7d-d73c-420a-b6be-78f0169e68c9.json

根据名称强制杀死进程:

ps -ef | grep python | cut -c 9-15 | xargs kill -9

用户

添加用户:

sudo adduser username

添加用户并设置目录:

sudo adduser username --home /home/username

将用户设置超级用户组(如添加到 sudo 用户组):

sudo usermod -aG sudo username

查看所有用户组

groups

查看某个用户组下所有用户:

sudo apt-get install members
members sudo

posted on 2018-12-06 18:12  XuCodeX  阅读(162)  评论(0编辑  收藏  举报

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