👉 Gang computing, also known as cluster computing or distributed computing, is a method of processing large amounts of data by dividing tasks among multiple interconnected computers, or nodes, which work together as a single system. Each node in the cluster can perform computations independently and communicate with others to share resources, data, and results, thereby increasing processing power and efficiency. This approach allows for handling complex, data-intensive tasks that would be impractical or impossible for a single machine to manage. Gang computing is particularly useful in fields like scientific research, big data analytics, and high-performance computing, where the ability to process vast datasets quickly and effectively is crucial.
