Yury A. Zagorulko, Galina B. Zagorulko, Vladimir K. Shestakov, Anna F. Sapetina

A.P. Ershov Institute of Informatics Systems Siberian Branch of the Russian Academy of Sciences, Institute of Computational Mathematics and Mathematical Geophysics Siberian Branch of the Russian Academy of Sciences

The paper presents an approach to the development of an information- analytical Internet resource to support of solving compute-intensive problems of mathematical physics on supercomputers. The basis of this resource is a multilevel ontology, which is built using ontologies of scientific knowledge and scientific activity. For effective information and analytical support of users, it is very important to provide a detailed systematized description of parallel algorithms and architectures, a fairly complete description of available software components that implement parallel algorithms and fragments of parallel code, available parallel architectures and devices used in them, as well as publications and information resources describing this problem area.

solving compute-intensive problems on supercomputers, parallel algorithms, parallel architectures, ontology, information-analytical Internet resource