The paper considers the issues of the computations distributing within one node of a hybrid computing system for applied programs with computation-intense operations. A method is proposed for static distribution of computations, as well as a method for automatic balancing of the computational load during program execution, which is based on periodic analyzing the CPU load by the executed program and making decision to redistribute computational load if necessary. The proposed methods are implemented in an applied program that solves a gas dynamic problem using the computing resources of the multicore central processor and graphics accelerators. The results of program execution with various data distributions were obtained and analyzed, both with and without the mechanism for automatic balancing of the computational load.

The work is dedicated to the topic of various (both static and dynamic) methods of balancing the computational load with parallel implementation of algorithms on shared memory. Attention is also paid to the topic of parallelizing programs in especially difficult cases-when the used algorithm is purely sequential,