#Linux作業系統
##課程資料
- 開課:許富皓教授
- 開課單位:資工所
- 修課年度:103年
##背景知識
- X86 組合語言( AT&T 語法建議)
- C 語言
1. HP DL380E | |
https://goods.ruten.com.tw/item/show?21733926629628 | |
缺 HDD | |
缺 TRAY | |
缺 DDR3 REG ECC | |
缺 RAID Card | |
$4800 | |
2. RAID Card | |
https://item.taobao.com/item.htm?spm=a1z09.2.0.0.4eda2e8d2vyezX&id=543326996277&_u=tvpdkjvf6d4 |
openstack image create "Ubuntu 16.04 arm64" \ | |
--file xenial-server-cloudimg-arm64-uefi1.img \ | |
--disk-format qcow2 \ | |
--container-format bare \ | |
--public \ | |
--property hw_disk_bus='scsi' \ | |
--property hw_scsi_model='virtio-scsi' \ | |
--property hw_machine_type=virt \ | |
--property hw_firmware_type='uefi' \ | |
--property hw_video_model='vga' |
The list | |
ARMv8 Server | |
H270-T70 | |
DDR4 16GBx8 per node | |
HDD 1TB per node | |
Intel x86 Server | |
E5 2670v3 x2 | |
DDR3 8GBx24 |
processor : 0 | |
vendor_id : GenuineIntel | |
cpu family : 6 | |
model : 94 | |
model name : Intel(R) Core(TM) i5-6400 CPU @ 2.70GHz | |
stepping : 3 | |
microcode : 0x19 | |
cpu MHz : 3099.937 | |
cache size : 6144 KB | |
physical id : 0 |
processor : 0 | |
vendor_id : GenuineIntel | |
cpu family : 6 | |
model : 94 | |
model name : Intel(R) Core(TM) i5-6400 CPU @ 2.70GHz | |
stepping : 3 | |
microcode : 0x19 | |
cpu MHz : 899.964 | |
cache size : 6144 KB | |
physical id : 0 |
#Linux作業系統
##課程資料
##背景知識
import java.util.regex.Pattern; | |
import java.util.regex.Matcher; | |
import java.util.Scanner; | |
import java.io.BufferedInputStream; | |
import java.io.BufferedOutputStream; | |
import java.io.FileOutputStream; | |
import java.io.IOException; | |
import java.net.Socket; | |
public class Main { |
#!/bin/sh | |
rsync -avur -e ssh [email protected]:linux-3.10.59-dirty . | |
cd linux-3.10.59-dirty && sudo make modules_install && sudo make install | |
sudo reboot |
#!/bin/sh | |
iptables -F | |
iptables -X | |
iptables -Z | |
iptables -t nat -F | |
iptables -t nat -X | |
iptables -t nat -Z | |
iptables -N Firewall-INPUT |
from numpy import matrix | |
form numpy import linalg | |
a = matrix([[1, 2], [3, 4]]) | |
linalg.det(a) |