README.md

# P³LS³
**P**redictable **P**arallel **P**atterns **L**ibrary for **S**calable **S**mart **S**ystems

## Project Structure

The project uses [CMAKE](https://cmake.org/) as it's build system,
the recommended IDE is either a simple text editor or [CLion](https://www.jetbrains.com/clion/).
We divide the project into subtargets to separate for the library
itself, testing and example code. The library itself can be found in
`lib/pls`, testing related code is in `test`, example and playground
apps are in `app`.

### Buiding

To build the project first create a folder for the build
(typically as a subfolder to the project) using `mkdir cmake-build-debug`.
Change to the new folder `cd cmake-build-debug` and init the cmake
project using `cmake ../ -DCMAKE_BUILD_TYPE=DEBUG`. For realease builds
do the same only with build type `RELEASE`. Other build time settings
can also be passed at this setup step.

After this is done you can use normal `make` commands like
`make` to build everything `make <target>` to build a target
or `make install` to install the library globally.

### Testing

Testing is done using [Catch2](https://github.com/catchorg/Catch2/)
in the test subfolder. Tests are build into a target called `tests`
and can be executed simply by building this executabe and running it.

### Data Race Detection

As this project contains a lot concurrent code we use
[Thread Sanitizer](https://github.com/google/sanitizers/wiki/ThreadSanitizerCppManual)
in our CI process and optional in other builds. To setup CMake builds
with sanitizer enabled add the cmake option `-DTHREAD_SANITIZER=ON`.
Please regularly test with thread sanitizer enabled and make sure to not
keep the repository in a state where the sanitizer reports errors.

Consider reading [the section on common data races](https://github.com/google/sanitizers/wiki/ThreadSanitizerPopularDataRaces)
to get an idea of what we try to avoid in our code.