IPC-using-shared-memory-and-Parallelization-with-openMP

The objective of this project is to develop a program that can update shared memory across multiple processes using OpenMP to improve performance.

The program will use shared memory to enable efficient inter-process communication between multiple processes and OpenMP to parallelize the update tasks.

The program will be designed to update a shared memory region that contains lines of codes. It will monitor the shared memory region for changes and update the shared memory region with the given options.

The update process will be performed by multiple processes running in parallel, with each process responsible for updating a subset of the shared memory data. The update process will involve accessing the shared memory region and modifying the lines of code.

The project will be developed in C++ using the OpenMP library for parallelization and shared memory communication. The OpenMP library is used to parallelize the update tasks across multiple threads, improving the performance of the update process.

Overall, this project will provide an opportunity to gain experience with inter-process communication using shared memory and parallelization using OpenMP, while also developing a useful tool for shared memory update management that can be used in a variety of contexts.