One-Program-To-Outspeed-Them-All

Welcome to our SOC "One Program To Outspeed Them All". Join us as we program keeping performance first and foremost! Here is the tentative schedule:

Week 0 : Setting up

• This week will be spent in setting up your coding environment. We recommend WSL as you can code in C/C++ without any hassle once you set up WSL.
• Install wsl : https://learn.microsoft.com/en-us/windows/wsl/install
• Use ubuntu preferrably although pretty much any distribution should be okay (so if you do not have ubuntu don't panic and change your distribution lol you will probably be fine)
• In case you want to try using the manual install (as the default one may not work for everyone), follow this : https://learn.microsoft.com/en-us/windows/wsl/install-manual
• Integrate WSL with visual studio code : https://learn.microsoft.com/en-us/windows/wsl/tutorials/wsl-vscode
• Install git : https://learn.microsoft.com/en-us/windows/wsl/tutorials/wsl-git
• Run the following command to install g++, gdb (optional but recommended), make : sudo apt update && upgrade && sudo apt-get install build-essential && sudo apt install g++ gdb make ninja-build rsync zip
• Run the following command to install python (we might need this for plotting performance) : sudo apt install python3 python3-pip ipython3
• Fork this git repository
• Instructions for forking:
• Follow the instructions on : https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/fork-a-repo
• Here are some practice questions to check your installation.
• Check g++ installation by completing the task described in compile.cpp
• Complete the tasks in naive.cpp (implement naive Schur/Element-Wise Product of two vectors)
• Run the command make on the terminal to check Makefile installation
• Run the command python3 grapher.py to check python installation
• You might need to install some python modules like matplotlib or numpy in which case run pip install {nameOfModule}