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add link to GetPy

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greg
2019-04-14 01:36:54 -04:00
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@@ -243,3 +243,10 @@ Parallel Hashmap containers follow the thread safety rules of the Standard C++ l
- The *parallel* tables can be made fully thread-safe, by providing a synchronization type (for example [std::mutex](https://en.cppreference.com/w/cpp/thread/mutex)) as the last template argument. Because locking is performed at the *submap* level, a high level of concurrency can still be achieved.
- Examples on how to use various mutex types, including boost::mutex, boost::shared_mutex and absl::Mutex can be found in `examples/bench.cc`
## Using the Parallel Hashmap from languages other than C++
While C++ is the native language of the Parallel Hashmap, we welcome bindings making it available for other languages. One such implementation has been created for Python and is described below:
- [GetPy - A Simple, Fast, and Small Hash Map for Python](https://github.com/atom-moyer/getpy): GetPy is a thin and robust binding to The Parallel Hashmap (https://github.com/greg7mdp/parallel-hashmap.git) which is the current state of the art for minimal memory overhead and fast runtime speed. The binding layer is supported by PyBind11 (https://github.com/pybind/pybind11.git) which is fast to compile and simple to extend. Serialization is handled by Cereal (https://github.com/USCiLab/cereal.git) which supports streaming binary serialization, a critical feature for the large hash maps this package is designed to support.