Ontological Approach to Providing Intelligent Support for Solving Compute-Intensive Problems on Supercomputers

Abstract

The paper describes an approach to providing intelligent support for solving compute-intensive problems on supercomputers, based on the ontologies and decision rules helping the users choose a computational method suited best to their task and supercomputer architecture. The authors focus on the concept and following components of intelligent support: the ontology of the problem area “Solving Compute-intensive Problems of Mathematical Physics on Supercomputers”, an information-analytical Internet resource based on this ontology, providing the users access to information necessary for solving compute-intensive problems on supercomputers and an expert system helping users develop a parallel code based on ready-made software components. The paper describes in detail the conceptual scheme of intelligent support and the ontologies developed. To avoid possible errors in designing an ontology, in model means for knowledge representation absent in the ontology description language, to systematize and facilitate populating an ontology with concept instances, we have developed and applied a number of structural and content patterns.