How to reorganize computer science and technologies?

Abstract

The fundamentals of modern progress are based on the infinite growth rates of the computational and informational capacities of a post-petaflop scale, which provide unthinkable opportunities for acquiring new knowledge and introducing innovation into production, environmental management, and the economic and social spheres. The key method here is based upon the predictive mathematical modeling of processes and phenomena, including theoretical and applied research, super-computations and large-scale computer experiments, operations with mega-data sets, and artificial intelligence. The solution to emerging supertasks requires huge amounts of new generation intelligent software, which is impossible without the formation of new concepts and paradigms of activity, architectural solutions, and constructive technologies. The world is embracing the creation of integrated computing and information environments, forming an instrumental context for automating the construction of models and algorithms, their mapping onto supercomputer platforms, and the creation of comfortable interfaces for users with different professional backgrounds. Such an ecosystem is designed for a long life cycle with continuous development and the coordinated participation of various groups of developers, as well as widespread demand. In fact, this is leading to the formation of a new industry with mass professions requiring high supercomputer literacy. The identified scientific and technological challenges require competent organizational and infrastructural solutions, including the interdepartmental coordination of academic, educational, and production teams