👉 Shared computing, also known as distributed computing or parallel computing, involves multiple computing resources—such as processors, memory units, or storage devices—that work together to solve a single problem or perform a task more efficiently than any single resource could alone. These resources can be spread across different machines, locations, or even cloud environments, communicating and coordinating their efforts to optimize performance, reduce processing time, and handle larger datasets. By dividing the workload among these interconnected resources, shared computing enhances computational power, scalability, and resource utilization, making it a fundamental approach in fields like scientific research, big data analytics, and high-performance computing.
