Random access memory page caching: a strategy for enhancing shared virtual memory multicomputer systems performance
Vyazigin S. Mansurova M. Malyshkin V. Shaykhulova A.
June 2024Institute of Advanced Engineering and Science
Indonesian Journal of Electrical Engineering and Computer Science
2024#34Issue 31879 - 1892 pp.
This study examines a modified approach to optimizing the performance of support vector machine (SVM)-type multicomputer systems through a distinct type of caching method that allocates space in the random access memory (RAM) of a computing node for caching pages. The article extensively describes research on enhancing the performance of the SVM system through memory page caching in RAM at the hardware level by implementing the SVM system based on field-programmable gate arrays (FPGA). A systematic comparative evaluation highlights a discernible enhancement in system performance relative to systems not equipped with the revised caching algorithm. These findings could prove instrumental for subsequent studies focused on optimizing the performance of SVM systems, providing empirical data to inform future investigations and potential applications in multicomputer system performance enhancement.
Boolean , Combinatorial space , Data caching , memory , Random access memory , Systems with shared virtual , Working set
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Department of Artificial Intelligence and Big Data, Faculty of Information Technologies, Al-Farabi Kazakh National University, Almaty, Kazakhstan
Department of Parallel Program Synthesis Laboratory, Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk, Russian Federation
Department of Mechanical Engineering Technology, Ufa University of Science and Technology, Ufa, Russian Federation
Department of Artificial Intelligence and Big Data
Department of Parallel Program Synthesis Laboratory
Department of Mechanical Engineering Technology
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