👉 Run computing, also known as remote or distributed computing, is a method of processing large-scale computational tasks by distributing them across multiple interconnected computers or nodes over a network. This approach allows for the efficient utilization of diverse computing resources, such as CPUs, GPUs, and storage systems, to solve complex problems that would be impractical or impossible for a single machine to handle. In run computing, tasks are broken down into smaller sub-tasks that can be executed concurrently on different nodes, often using frameworks like Apache Spark or Hadoop. The results from these sub-tasks are then aggregated to produce the final output, enabling parallel processing and significantly reducing computation time. This model is particularly valuable in fields like data science, machine learning, and scientific research where handling vast datasets and performing intensive computations are common.
