This assignment demonstrates matrix multiplication using multithreading in Python.

The task is to multiply 100 random matrices of size 1000x1000 with a constant matrix of the same size using multithreading.

Multithreading allows concurrent execution of tasks within the same process. Threads share the same memory space and can run independently, leveraging multiple CPU cores for parallel computation.

The graph illustrates how the total time taken for matrix multiplication decreases as the number of threads increases due to parallelism.

The CPU usage graph shows the utilization during the execution of the multithreading program, demonstrating the effectiveness of multithreading in leveraging CPU resources.