👉 Panel computing, also known as distributed or grid computing, is a method of processing large-scale computational tasks by distributing the workload across multiple interconnected computers or nodes, often located in different geographical locations. This approach leverages the combined resources of these nodes to perform complex calculations and data processing more efficiently than a single machine could handle. By dividing tasks among the nodes, panel computing can significantly reduce processing time and improve scalability, making it particularly useful for applications such as scientific simulations, big data analytics, and machine learning. The nodes communicate and coordinate their efforts through a network, often using specialized software to manage data distribution, task scheduling, and resource allocation. This collaborative computing model maximizes resource utilization and enables the handling of problems that would be infeasible for a single computer to solve within a reasonable timeframe.
