On optimization of computing applications for multiprocessor systems with nonuniform memory access

An approach to optimize computing applications for multiprocessor systems with nonuniform memory access (the so-called NUMA systems) is considered. This approach allows one to make the most use of system computing resources with minimal changes in application codes and can be applied in hybrid MPI-threaded programs on modern cluster systems. Some results of numerical experiments on a large number of realistic problems are discussed.