To start with parallel processing, it's essential to understand the fundamentals of distributed computing and how to set up a network of computers for this purpose. With 16 computers available, creating a network can facilitate parallel processing tasks effectively. One notable tool for this is DMAKE, a distributed make utility designed for managing large projects by distributing compilation tasks across multiple computers. DMAKE operates by assigning individual source modules to different compiler servers, optimizing the compilation process and ensuring efficient use of resources.In addition to compilation tasks, parallel processing can be applied to various domains, such as analyzing satellite images. This involves dividing the images into segments and processing each segment on different computers simultaneously, showcasing the versatility of parallel algorithms. Overall, leveraging multiple computers for parallel processing can significantly enhance performance for large-scale projects, making it a valuable area of exploration for those with a background in physics and computing.