Performance evaluations research of multiprocessor system in the problem of heat treatment of metal products
Keywords:heat treatment, metal, multiprocessor system, acceleration, performance, computing units
The paper aims to research performance evaluations of a multiprocessor system in the problem of metal heat treatment. The research aims at the performance evaluations of a multiprocessor computer system. That reveals the problem of matching the computing capabilities of multiprocessor system processors with this system network interface. On the example of solving the problem of metal products heat treatment, analytical relations are derived to determine the optimal number of nodes of the cluster system according to the selected processors. The values of the consistency coefficient of the selected processors' capabilities, the network interface, and the size of the computing domain are derived. Estimates of cluster system performance at solving the metal heat treatment problem for various processors’ classes are defined.
Patent 143971 Ukraine, IPC C21D 1/26 (2006.01). Installation for intensification of spheroidizing annealing of steel / Ivashchenko V., Shvachych G., Sobolenko M., Gul’ Yu., Sobolenko O., Moroz D.; owner: National Metallurgical Academy of Ukraine. - № in 2020 00940; stated 02/14/2020; publ. 25.08.2020, Bull. № 6.
Dolzhenkov I. Ye. Influence of plastic deformation and other pre-treatment for spheroidizing carbides in steels. Theory and practice of metallurgy. 2007. №1. P. 66 – 68.
Gul Yu.P., Sobolenko M.A., Ivchenko A.V. Integrated intensification of spheroidizing annealing of low carbon steels for cold heading. Steel. 2012. №3. P. 44 – 47.
Ivaschenko V.P., Shvachych G.G., Sobolenko O.V. The system of automated control of temperature regimes of thermal treatment of steel products. Metallurgical and Mining Industry. 2015. № 1. P. 142 –147.
Shlomchak G., Shvachych G., Moroz B., Fedorov E., Kozenkov D. Automated control of temperature regimes of alloyed steel products based on multiprocessors computing systems. Metalurgija. 2019. №58. P. 299 – 302.
Shvachych G., Mamuzic I., Ivaschenko О., Moroz B., Hulina I. Maximum parallel forms of difference scheme algorithms in applied problems of metallurgical thermal physics. Materials and Metallurgy: 14 International Symposium of Croatian Metallurgical Society SHMD. CROATIA. 2020. P. 442.
Shvachych G., Ivaschenko О., Busygin V., Fedorov E. Parallel computational algorithms in thermal processes in metallurgy and mining. Naukovyi visnyk NHU. Dnipro. 2018. № 4. P. 129–137.
Ivaschenko V., Shvachych G., Ivaschenko О., Busygin, V. Processors selection problem in the module computing system when making new technological processes. Information Technology in Metallurgy and Machine Building: materials and Technical International Conference. 2018. P. 106.
Shvachych G., Pobochii I., Ivaschenko О., Busygin V. Research of compatibility in the multiprocessing compound systems. Science Review. Poland. 2018. № 2 (9). Vol. 1. P.15–19.
Shvachych G., Pobochii I., Kholod E., Ivaschenko O., V. Busygin Multiprocessors computing systems in the problem of global optimization. Structural transformations and problems of information economy formation: monograph. Ascona Publishing United States of America. 2018. P. 281 – 291.
Shvachych G. Prospects of construction highly-productive computer systems based on standard technologies. Strategy of Quality in Industry and Education: IV International Conference. May 30 – June 6. 2008, Varna, Bulgaria, 2008. Vol. 2. P. 815 – 819.
Voevodin V., Voevodin V. Parallel computations. Sankt Peterburg, 2002 600 p.
Ivaschenko V., Shvachych G., Semenov S. Efficient parallelization algorithms of the applied tasks in multiprocessor computing systems. System technologies. Dnipro. 2017. № 2 (109). pp. 57 – 66.
Ivaschenko V., Alishov N., Shvachych G., Tkach M. Latest technologies based on use of high-efficient multiprocessing computer systems. Journal of Qafqaz University. Mathematics and Computer Science, Baku, Azerbaijan. 2013. Vol. 1. Numb. 1. P. 44 – 51.
Ivaschenko V., Shvachych G., Shmukin A. Parallel computations and applied problems of metallurgical thermophysics. System Technology. 2008. № 56. P. 123 – 138.
This work is licensed under a Creative Commons Attribution 4.0 International License.