👉 Add computing, also known as distributed or parallel computing, is a method of processing data and executing tasks by dividing the workload across multiple interconnected computers or processing units. This approach leverages the combined computational power of these units to solve complex problems more efficiently and quickly than a single machine could. By distributing tasks, add computing can significantly reduce processing time, enhance scalability, and improve resource utilization. It is particularly useful in scenarios involving large datasets, intensive simulations, or resource-heavy computations, such as machine learning, scientific research, and big data analytics. The key to effective add computing lies in optimizing communication between the units and efficiently managing data distribution and synchronization to ensure optimal performance.
