👉 Divided computing, also known as distributed or parallel computing, is a method where computational tasks are divided among multiple processors or machines to perform calculations simultaneously. This approach leverages the power of interconnected systems, such as clusters or grids, to handle complex problems more efficiently than a single processor could manage alone. By distributing the workload, divided computing can significantly reduce processing time and improve scalability, making it ideal for tasks like large-scale data analysis, simulations, and artificial intelligence applications. This method also enhances fault tolerance, as the failure of one component doesn't necessarily halt the entire process.
