  This article describes a method for creating applications for cluster
computing systems using the parallel BSF skeleton based on the original BSF
(Bulk Synchronous Farm) model of parallel computations developed by the author
earlier. This model uses the master/slave paradigm. The main advantage of the
BSF model is that it allows to estimate the scalability of a parallel algorithm
before its implementation. Another important feature of the BSF model is the
representation of problem data in the form of lists that greatly simplifies the
logic of building applications. The BSF skeleton is designed for creating
parallel programs in C++ using the MPI library. The scope of the BSF skeleton
is iterative numerical algorithms of high computational complexity. The BSF
skeleton has the following distinctive features. - The BSF-skeleton completely
encapsulates all aspects that are associated with parallelizing a program. -
The BSF skeleton allows error-free compilation at all stages of application
development. - The BSF skeleton supports OpenMP programming model and
workflows.
