The article discusses how to process large amounts of data on multiple computers at the same time. It looks at different ways to do this efficiently, focusing on tasks like sorting and combining data. The researchers used a model called Massively Parallel Computation to study these algorithms. They found that certain techniques can be used across different data processing tasks to make them faster and more effective.