Skip to content

sh1rokovs/Parallel_Program_C_Matrix_Min

 
 

Repository files navigation

Upd 09.10.2020: Репозиторий до 18 октября находится в тестовом режиме - могут быть внесены новые изменения и проверки!!!

Upd 19.10.2020: Репозиторий на неопределенное время находится в тестовом режиме - могут быть внесены новые изменения и проверки!!! Следите за обновлениями.

Parallel programming course

The following parallel programming technologies are considered in practice:

  • MPI
  • OpenMP
  • TBB
  • std::thread

The following reporting technologies are considered in practice:

  • LaTeX

Rules for submissions

  1. You are not supposed to trigger CI jobs by frequent updates of your pull request. First you should test you work locally with all the scripts (code style)
    • Respect others time and don't slow down the job queue
  2. Carefully check if the program can hang

1. Set up your environment

Fetch submodules before building the project

git submodule update --init --recursive

Parallel programming technologies

MPI

  • Windows (MSVC): Installers link. You have to install msmpisdk.msi and msmpisetup.exe.
  • Linux (gcc and clang):
sudo apt install mpich
sudo apt install openmpi-bin
sudo apt install libopenmpi-dev
  • MacOS (apple clang):
brew install open-mpi

OpenMP

OpenMP is included into gcc and msvc, but some components should be installed additionally:

  • Linux (gcc and clang):
sudo apt install libomp-dev
  • MacOS (apple clang): The system is completely unstable thus you are not recommended to use it with OpenMP!
brew install libomp

TBB

  • Windows (MSVC): CMake installs TBB while you run cmake for that project on Windows.
  • Linux (gcc and clang):
sudo apt-get install libtbb-dev
  • MacOS (apple clang):
brew install tbb

std::thread

  • std::thread is included into STL libraries.

Reporting technologies

LaTeX

  • Windows:

Run powershell script scripts/appveyor_install_miktex-latest-minimal.ps1 for install LaTeX and build project.

  • Linux:
sudo apt install texlive*
  • MacOS (apple clang):

Unsupported operating system!

2. Build the project with CMake

Navigate to a source code folder.

  1. Configure the build: Makefile, .sln, etc.
mkdir build && cd build
cmake -D USE_SEQ=ON -D USE_MPI=ON -D USE_OMP=ON -D USE_TBB=ON -D USE_STD=ON -D USE_LATEX=ON ..

Help on CMake keys:

  • -D USE_SEQ=ON enable Sequential labs (based on OpenMP's CMakeLists.txt).
  • -D USE_MPI=ON enable MPI labs.
  • -D USE_OMP=ON enable OpenMP labs.
  • -D USE_TBB=ON enable TBB labs.
  • -D USE_STD=ON enable std::thread labs.
  • -D USE_LATEX=ON enable LaTeX reports.

A corresponding flag can be omitted if it's not needed.

  1. Build the project:
cmake --build . --config RELEASE
  1. Check the task
  • Run <project's folder>/build/bin
  • View report <project's folder>/build/modules/reports/<report's folder>

3. How to submit you work

  • There are task_1, task_2, task_3, reports folders in modules directory. There are 3 task and 1 report for the semester. Move to a folder of your task. Make a directory named <last name>_<first letter of name>_<short task name>. Example: task1/nesterov_a_vector_sum.

  • Go into the newly created folder and begin you work on the task. There must be only 4 files and 3 of them must be written by you:

    • main.cpp - google tests for the task. The number of tests must be 5 or greater.
    • vector_sum.h - a header file with function prototypes, name it in the same way as <short task name>.
    • vector_sum.cpp - the task implementation, name it in the same way as <short task name>.
    • CMakeLists.txt - a file to configure your project. Examples for each configuration can be found in test_tasks.
  • Go into the newly created folder and begin you work on the report. There must be only 2 files and 1 of them must be written by you:

    • vector_sum.tex - a LaTeX report file which consider information about your program, name it in the same way as <short task name>.
    • CMakeLists.txt - a file to configure your project. Examples for each configuration can be found in test_tasks/test_latex.
  • The number of directories will increase with time. To build only your project, you need to do the following:

    cmake --build . --target <name task's directory> --config RELEASE
    

    Example:

    cmake --build . --target nesterov_a_vector_sum --config RELEASE
    
  • Name your pull request in the following way:

    • for tasks:
    <Фамилия Имя>. Задача <Номер задачи>. <Полное название задачи>.
    Нестеров Александр. Задача 1. Сумма элементов вектора.
    
    • for report:
    <Фамилия Имя>. Отчет. <Полное название задачи>.
    Нестеров Александр. Отчет. Сумма элементов вектора.
    
  • Provide the full task definition in pull request's description.

    Example pull request is located in repo's pull requests.

  • Work on your fork-repository. Keep your work on a separate branch and NOT on master!!!. Name you branch in the same way as your task's folder. To create a branch run:

    git checkout -b nesterov_a_vector_sum
    

Code style

Please, follow Google C++ Style Guide. Code style can be verified with the script (it runs with Python 2):

cd <source project root>
python2 scripts/lint.py

Failing to follow the rules makes the project build red.

And finally,

All information of the course is in WIKI!!

About

C++ Parallel programming technologies.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • C++ 62.6%
  • CMake 35.6%
  • Shell 0.5%
  • Python 0.3%
  • PowerShell 0.3%
  • C 0.3%
  • Other 0.4%