The BSP Model, or Bulk Synchronous Parallel Model, is a framework used in parallel computing to design algorithms that can efficiently run on multiple processors. It divides computation into a series of supersteps, where each superstep consists of local computation, communication, and synchronization. This structure helps manage the complexity of parallel processing by ensuring that all processors work together in a coordinated manner. In the BSP Model, each processor performs its tasks independently during the local computation phase, then exchanges data with other processors in the communication phase. Finally, synchronization ensures that all processors reach the same point before moving on to the next superstep. This approach simplifies the development of parallel algorithms and enhances performance across distributed systems.