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mpl
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A C++17 message passing library based on MPI
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# MPL - A message passing library [](https://github.com/rabauke/mpl/actions/workflows/build-with-openmpi.yml) [](https://github.com/rabauke/mpl/actions/workflows/build-with-mpich.yml) [](https://github.com/rabauke/mpl/actions/workflows/build-with-IntelMPI.yml) [](https://opensource.org/licenses/BSD-3-Clause) MPL is a message passing library written in C++17 based on the [Message Passing Interface](http://mpi-forum.org/) (MPI) standard. Since the C++ API has been dropped from the MPI standard in version 3.1, it is the aim of MPL to provide a modern C++ message passing library for high performance computing. MPL will neither bring all functions of the C language MPI-API to C++ nor provide a direct mapping of the C API to some C++ functions and classes. The library's focus lies on the MPI core message passing functions, ease of use, type safety, and elegance. The aim of MPL is to provide an idiomatic C++ message passing library without introducing a significant overhead compared to utilizing MPI via its plain C-API. This library is most useful for developers who have at least some basic knowledge of the Message Passing Interface standard and would like to utilize it via a more user-friendly interface in modern C++. Unlike [Boost.MPI](https://www.boost.org/doc/libs/1_77_0/doc/html/mpi.html), MPL does not rely on an external serialization library and has a negligible run-time overhead. ## Supported features MPL assumes that the underlying MPI implementation supports the [version 3.1](https://www.mpi-forum.org/docs/mpi-3.1/mpi31-report.pdf) of the Message Passing Interface standard. Future versions of MPL may also employ features of the new [version 4.0](https://www.mpi-forum.org/docs/mpi-4.0/mpi40-report.pdf) or later MPI versions. MPL gives currently access via a convenient C++ interface to the following features of the Message Passing Interface standard: * environmental management (implicit initialization and finalization, timers, but no error handling). * point-to-point communication (blocking and non-blocking), * collective communication (blocking and non-blocking), * derived data types (happens automatically for many custom data types or via the `base_struct_builder` helper class and the layout classes of MPL), * communicator- and group-management, * process topologies (cartesian and graph topologies), * inter-communicators, * dynamic process creation and * file i/o. Currently, the following MPI features are not yet supported by MPL: * error handling and * one-sided communication. Although MPL covers a subset of the MPI functionality only, it has probably the largest MPI-feature coverage among all alternative C++ interfaces to MPI. ## Hello parallel world MPL is built on top of the Message Passing Interface (MPI) standard. Therefore, MPL shares many concepts known from the MPI standard, e.g., the concept of a communicator. Communicators manage the message exchange between different processes, i.e., messages are sent and received with the help of a communicator. The MPL environment provides a global default communicator `comm_world`, which will be used in the following Hello-World program. The program prints out some information about each process: * its rank, * the total number of processes and * the computer's name the process is running on. If there are two or more processes, a message is sent from process 0 to process 1, which is also printed. ```C++ #include <cstdlib> #include <iostream> // include MPL header file #include <mpl/mpl.hpp> int main() { // get a reference to communicator "world" const mpl::communicator &comm_world{mpl::environment::comm_world()}; // each process prints a message containing the processor name, the rank // in communicator world and the size of communicator world // output may depend on the underlying MPI implementation std::cout << "Hello world! I am running on \"" << mpl::environment::processor_name() << "\". My rank is " << comm_world.rank() << " out of " << comm_world.size() << " processes.\n"; // if there are two or more processes send a message from process 0 to process 1 if (comm_world.size() >= 2) { if (comm_world.rank() == 0) { std::string message{"Hello world!"}; comm_world.send(message, 1); // send message to rank 1 } else if (comm_world.rank() == 1) { std::string message; comm_world.recv(message, 0); // receive message from rank 0 std::cout << "got: \"" << message << "\"\n"; } } return EXIT_SUCCESS; } ``` ## Documentation For further documentation see the [documentation](https://rabauke.github.io/mpl/html/), the blog posts * [MPL โ A message passing library](https://www.numbercrunch.de/blog/2015/08/mpl-a-message-passing-library/), * [MPL โ Collective communication](https://www.numbercrunch.de/blog/2015/09/mpl-collective-communication/), * [MPL โ Data types](https://www.numbercrunch.de/blog/2015/09/mpl-data-types/), the presentation * [Message Passing mit modernem C++](https://rabauke.github.io/mpl/mpl_parallel_2018.pdf) (German only), the book * [Parallel Programming for Science and Engineering](https://theartofhpc.com/pcse.html) by Victor Eijkhout, or the workshop material * [SMU O'Donnell Data Science and Research Computing Institute Parallel C++ Workshop](https://southernmethodistuniversity.github.io/parallel_cpp/intro.html) and the files in the `examples` directory of the source package.
