This article analyzes mathematical and technological problems that arise in performing computational experiments on modern high-performance computers (supercomputers). As a means of overcoming the difficulties associated with the analysis and solution of computer model problems under conditions of approximate initial data on computers with parallel architectures, intelligent technologies are proposed that are based on intelligent software supported by architectural decisions of an intelligent computer and predictive system software.