Including kodo-rlnc in Your Application

Following sections describe what you need to do to include Kodo in your application / project, and how to handle the Kodo dependencies using our build system.

Including Kodo and Its Dependencies

Kodo is a header-only library with some dependencies that are compiled as static libraries. This means that both Kodo and its dependencies should be included in an application that uses Kodo.

The easiest way to achieve that is to use our build system. You can find more information about how to do so in this tutorial.

If this approach is not feasible for you for some reason, the following will guide you through one of the many other ways to include Kodo in your application.


If you have issues, please double check that you have all the requirements specified in the Getting Started section. If you do, please write on our developer mailing list, and we’ll be happy to help.

  1. Start by cloning the Kodo repository to a folder of your choice:

    cd folder/of/your/choice
    git clone
  2. Now change directory to the kodo repository:

    cd kodo
  3. Configure kodo using our build system. The Kodo build system is capable of automatically downloading its dependencies. This is further elaborated in Kodo Dependency Management:

    python waf configure
  4. Assuming everything went as planned, you should have a folder called resolved_dependencies in your kodo folder. You can now build Kodo and its dependencies:

    python waf build
  5. You can run the unit tests to verify that Kodo works fine on your system:

    python waf --run_tests
  6. The following command will copy the static libraries to the kodo_build folder (these static libraries should be added to your application):

    python waf install --install_path=kodo_build --install_static_libs
  7. At this point, you should be ready to include Kodo in your application. Here we demonstrate the procedure with one of the Kodo examples (you can use your own application instead). Change the directory to the decode_encode_simple example:

    cd examples/encode_decode_simple
  8. Compile the example using the following (rather long) command:

    g++ \
    -O2 \
    -ftree-vectorize \
    -std=c++0x \
    -I../../src \
    -I../../resolved_dependencies/boost-abe3de/1.7.0 \
    -I../../resolved_dependencies/cpuid-4d8071/3.1.0/src \
    -I../../resolved_dependencies/fifi-8960fd/15.0.0/src \
    -I../../resolved_dependencies/platform-bccd32/1.1.0/src \
    -I../../resolved_dependencies/recycle-b2469b/1.0.1/src \
    -I../../resolved_dependencies/sak-1bdcea/13.0.0/src \
    encode_decode_simple.cpp \
    -o encode_decode_simple \
    -Wl,-Bstatic \
    -L../../kodo_build \
    -lfifi \
    -lcpuid \
    -lsak \

    This command is only provided to facilitate the integration with your build system or IDE. It is not recommended to build your software manually with a command like this.


    This command only contains the basic optimization flags, and you might need to add more flags to get maximum performance.


    The include paths presented here are going to change when a new version of a dependency is released and you run python waf configure to reconfigure your project. You can update the include paths based on the output of the configure command. Note that the include paths will be different if you use the Git-over-SSH protocol to clone Kodo from Github.

  9. Run the compiled example application:


Using a Makefile

If you would like to see an example to build an application with Kodo using a makefile. We provide a small makefile which shows how to invoke the g++ compiler. The example can be found in the examples/sample_makefile folder in the Kodo repository.

By default, the example makefile assumes that the required libraries are downloaded side-by-side with Kodo itself. To achieve this, you can clone the projects in the same directory:

git clone
git clone
git clone
git clone
git clone
git clone

You can now build the example with make:

cd kodo/examples/sample_makefile

And execute the encode_decode_simple binary:


Kodo Dependency Management

Kodo relies on a number of external libraries, these must be available in order to compile an application including Kodo.

The easiest way to get these is by using the Kodo build scripts. It will automatically download and setup the dependencies and build the Kodo library.

The libraries are:

  1. Cpuid: this library contains functionality to detect certain CPU features.

  2. Boost C++ libraries: this library contains a wide range of C++ utilities. We use only a subset of this functionality, such as smart pointers.

  3. Fifi: this library contains finite field arithmetics used in ECC (Error Correcting Code) algorithms.

  4. Platform: this library contains functionality to detect the compiler and target platform architecture.

  5. Sak: this library contains a few utility functions used in Kodo such as endian conversion.


Additional libraries, besides the ones listed above, will be downloaded if you use the Kodo build script. These libraries are only needed when/if you want to compile the Kodo unit tests or benchmarks. So you don’t have to link with these when using Kodo in your application.

Selecting the Correct Versions

If you use the Kodo build script to build Kodo, the latest compatible versions of its dependencies will automatically be downloaded. If you download the dependencies manually, you will have to select a compatible version yourself. This information is stored in the wscript file found in Kodo’s root folder.

Within that file, in the resolve function, you will find all Kodo’s dependencies specified in the following way:


The above command sets up a dependency for the Fifi library. The version required is specified in the major=21 line. This means that Kodo requires version 21.x.y of the Fifi library, where x.y should be selected to pick the newest available version. You can get a list of available versions by visiting the download page at GitHub for the Fifi library:

At the time of writing, the appropriate version for Fifi, when using Kodo (master branch), would be version 21.0.0. Note these version numbers are available as git tags if you choose to manually checkout the git repositories.

Download Kodo Dependencies

There are several ways in which you may get the Kodo library and its dependencies.

  1. As shown in the Getting Started section, the Kodo build scripts supports downloading the dependency repositories automatically. The build script will do a git clone and check out the latest compatible tagged version of the dependency.
  2. You may wish to manually download Kodo’s dependencies as separate git repositories, see Download Using Git.
  3. You can also download the Kodo dependencies as zip or tar.gz archives from the dependencies corresponding GitHub page, see Download as zip/tar.gz archives.


Downloading all dependencies is only necessary if you wish to build Kodo using our build system. If you simply want to use Kodo in your application you only need to download the libraries listed under Kodo Dependency Management.

Download Using Git

  1. Create a suitable directory for the projects (optional):

    mkdir dev
    cd dev
  2. Clone and download the libraries by running:

    git clone
    git clone
    git clone
    git clone
    git clone
    git clone
    git clone
    git clone
    git clone

Now we have to select the correct versions for all the downloaded dependencies e.g. for Fifi, first list the available tags:

cd fifi
git tag -l

Using the information from the wscript (described in Selecting the correct versions) we can checkout a tagged version:

git checkout 21.0.0

We now do this for all the downloaded repositories.

Configuring Kodo With Manually Downloaded Dependencies

After downloading all the dependencies manually, we have to inform the Kodo build scripts to use those instead of trying to automatically downloading them. Assuming you have the kodo repository alongside the downloaded dependencies, this can be done using the following command:

python waf configure \
--cpuid-path=../cpuid \
--boost-path=../boost \
--fifi-path=../fifi \
--platform-path=../platform \
--sak-path=../sak \
--gauge-path=../gauge \
--gtest-path=../gtest \
--tables-path=../tables \

The bundle options supports a number of different use cases. The following will bundle all dependencies but the Fifi library, which we have to manually specify a path for:

python waf configure --fifi-path=../fifi

Or we may bundle some selected libraries:

python waf configure \
--cpuid-path=../cpuid \
--boost-path=../boost \
--tables-path=../tables \

The bundle options can be seen by running:

python waf --help