Many computational problems have irregular data/control characteristics, which make programs difficult to be efficiently implemented in parallel systems. Due to irregular character of code or data, even division of work between processors at application startup is frequently impossible. Runtime optimization is possible, but it requires a constant exchange of control information and/or data during runtime is required. A novel parallel application control method is proposed in the paper. It is based on application global state monitoring for runtime irregular application control. The method provides a ready-to-use control infrastructure, which can be conveniently applied by a programmer. Both suitability and efficiency of the proposed control method are discussed in the paper based on two selected numerical applications: adaptive integration and branch and bound search. The presented experimental results were obtained with PS-GRADE graphical parallel design system, which embeds the proposed control method. The results confirm the efficiency of control based on global predicates in irregular computations.