Groups in bulk synchronous parallel computing

An extension to the Bulk Synchronous Parallel Model (BSP) to allow the use of asynchronous BSP groups of processors is presented. In this model, called Nested BSP, processor groups can be divided and processors in a group synchronize through group dependent collective operations generalizing the concept of barrier synchronization. A classification of problems and algorithms attending to their parallel input-output distribution is provided. For one of these problem classes, the called common-common class, we present a general strategy to derive efficient parallel algorithms. Algorithms belonging to this class allow the arbitrary division of the processor subsets, easing the opportunities of the underlying BSP software to divide the network in independent sub networks, minimizing the impact of the traffic in the rest of the network in the predicted cost. The expressiveness of the model is exemplified through three divide and conquer programs. The computational results for these programs in six high performance supercomputers show both the accuracy of the model and the optimality of the speedups for the class of problems considered