Skip to content

Latest commit

 

History

History
109 lines (76 loc) · 2.28 KB

INSTALL.md

File metadata and controls

109 lines (76 loc) · 2.28 KB

Getting libaec

The source code of libaec is hosted at DKRZ GitLab.

Source code and binary releases

The latest releases of libaec can be downloaded at the following locations:

https://gitlab.dkrz.de/k202009/libaec/-/releases

or

https://github.com/MathisRosenhauer/libaec/releases

Developer snapshot

  git clone https://gitlab.dkrz.de/k202009/libaec.git

Installation

General considerations

Libaec achieves the best performance on 64 bit systems. The library will work correctly on 32 bit systems but encoding and decoding performance will be much lower.

Installation from source code release with configure

The most common installation procedure on Unix-like systems looks as follows:

Unpack the tar archive and change into the unpacked directory.

  mkdir build
  cd build
  ../configure
  make check install

Installation from source code release with CMake

As an alternative, you can use CMake to install libaec.

Unpack the tar archive and change into the unpacked directory.

  mkdir build
  cd build
  cmake ..
  make install

You can set options for compiling using the CMake GUI by replacing the cmake command with

  cmake-gui ..

or by setting the options manually, e.g.

  cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=~/local ..

CMake can also generate project files for Microsoft Visual Studio when used in Windows.

Installation from cloned repository

The configure script is not included in the repository. You can generate it with autotools and gnulib:

  cd libaec
  gnulib-tool --import lib-symbol-visibility
  autoreconf -iv
  mkdir build
  cd build
  ../configure
  make check install

Optimization

Libaec in general and encoding performance in particular can benefit from vectorization and other compiler optimizations. You can try to enable higher than default optimizations and check the benefits with the bench target.

Intel compiler

Assuming your CPU supports AVX2, the following options will increase encoding speed.

  ../configure CC=icc
  make CFLAGS="-O3 -xCORE-AVX2" bench

On a 3.4 GHz E3-1240 v3 we see more than 400 MiB/s for encoding typical data.

gcc

The default -O2 will already enable vectorization but -O3 yields even better performance.