👉 Bulk computing, also known as distributed computing or massively parallel processing, is a method of processing large amounts of data by dividing the workload across multiple interconnected computers or processing units. Instead of relying on a single powerful machine, bulk computing leverages the combined power of numerous smaller machines working in parallel, each performing a subset of the overall task. This approach significantly increases computational speed and efficiency for tasks like data analysis, simulations, and machine learning, as it allows for the simultaneous processing of vast datasets. By distributing the workload, bulk computing can handle complex problems that would be infeasible for a single machine, making it an essential tool in fields such as scientific research, big data analytics, and artificial intelligence.
