Research output: Contribution to journal › Article › peer-review
How to Reorganize Computational Science and Technologies? / Il’in, V. P.
In: Herald of the Russian Academy of Sciences, Vol. 89, No. 3, 01.05.2019, p. 250-258.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - How to Reorganize Computational Science and Technologies?
AU - Il’in, V. P.
PY - 2019/5/1
Y1 - 2019/5/1
N2 - The current era of the fourth industrial revolution is inevitably leading to a widening gap between actively and passively developing countries, and the strategy of scientific and technological breakthrough announced in the Russian Federation is the only way to achieve the status of a world power. Modern progress is based on infinite growth rates of computational and informational capacities of the post-petaflop scales, which provide previously unthinkable opportunities for acquiring new fundamental knowledge and introducing innovations in production, natural resource management, and the economic and social spheres. The key role here is played by predictive mathematical modeling of processes and phenomena, including theoretical and applied research, supercomputation, and large-scale computer experiments, operations with large data, and artificial intelligence. Emerging super problems require huge amounts of new-generation intelligent software, which is impossible without the formulation of concepts and paradigms of activity, architectural solutions, and constructive technologies. Global trends are leading to the development of integrated computing and information environments that form an instrumental environment 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 the continuous development and coordinated participation of various groups of developers, as well as widespread demand, thereby leading to the formation of a new industry with mass professions with a high level of supercomputer literacy. The listed scientific and technological challenges require competent organizational and infrastructural solutions, including the interdepartmental coordination of academic, educational, and production teams. Mathware and software of supercomputer modeling should permeate all spheres of human activity similarly to the circulatory or nervous system and transmit the value of new productive forces that improve the quality of life and ensure the sustainable development of society to become knowledgeable on intensive technologies.
AB - The current era of the fourth industrial revolution is inevitably leading to a widening gap between actively and passively developing countries, and the strategy of scientific and technological breakthrough announced in the Russian Federation is the only way to achieve the status of a world power. Modern progress is based on infinite growth rates of computational and informational capacities of the post-petaflop scales, which provide previously unthinkable opportunities for acquiring new fundamental knowledge and introducing innovations in production, natural resource management, and the economic and social spheres. The key role here is played by predictive mathematical modeling of processes and phenomena, including theoretical and applied research, supercomputation, and large-scale computer experiments, operations with large data, and artificial intelligence. Emerging super problems require huge amounts of new-generation intelligent software, which is impossible without the formulation of concepts and paradigms of activity, architectural solutions, and constructive technologies. Global trends are leading to the development of integrated computing and information environments that form an instrumental environment 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 the continuous development and coordinated participation of various groups of developers, as well as widespread demand, thereby leading to the formation of a new industry with mass professions with a high level of supercomputer literacy. The listed scientific and technological challenges require competent organizational and infrastructural solutions, including the interdepartmental coordination of academic, educational, and production teams. Mathware and software of supercomputer modeling should permeate all spheres of human activity similarly to the circulatory or nervous system and transmit the value of new productive forces that improve the quality of life and ensure the sustainable development of society to become knowledgeable on intensive technologies.
KW - artificial intelligence
KW - computational methods and technologies
KW - integrated instrumental environment
KW - interdisciplinary problems
KW - mathematical modeling
KW - software
KW - supercomputer experiment
KW - supercomputing
UR - http://www.scopus.com/inward/record.url?scp=85070108265&partnerID=8YFLogxK
U2 - 10.1134/S1019331619030031
DO - 10.1134/S1019331619030031
M3 - Article
AN - SCOPUS:85070108265
VL - 89
SP - 250
EP - 258
JO - Herald of the Russian Academy of Sciences
JF - Herald of the Russian Academy of Sciences
SN - 1019-3316
IS - 3
ER -
ID: 21145996