国内从 Docker Hub 拉取镜像有时会遇到困难,此时可以配置镜像加速器。
Dockerized 实践 https://github.com/y0ngb1n/dockerized
国内从 Docker Hub 拉取镜像有时会遇到困难,此时可以配置镜像加速器。
Dockerized 实践 https://github.com/y0ngb1n/dockerized
Windows + xa (Selects PowerShell (Admin))cd ${HOME}\Downloads\fonts-master\fonts-master)Set-ExecutionPolicy RemoteSigned [1]y then Enter to acceptwget https://cmake.org/files/v3.12/cmake-3.12.3.tar.gz
tar zxvf cmake-3.*
| #!/usr/bin/env sh | |
| set -euv | |
| # Updated on April 2019 to reflect changes in GN | |
| # See: | |
| # https://github.com/ninja-build/ninja | |
| # https://gn.googlesource.com/gn/ | |
| # We need a recent git |
L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns
Compress 1K bytes with Zippy ............. 3,000 ns = 3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns = 20 µs
SSD random read ........................ 150,000 ns = 150 µs
Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs
| Latency Comparison Numbers (~2012) | |
| ---------------------------------- | |
| L1 cache reference 0.5 ns | |
| Branch mispredict 5 ns | |
| L2 cache reference 7 ns 14x L1 cache | |
| Mutex lock/unlock 25 ns | |
| Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
| Compress 1K bytes with Zippy 3,000 ns 3 us | |
| Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
| Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |