The paper investigates the influence of the load factor of the shared memory on the efficiency of multicore systems. Typically, all cores serve threads of one program in parallel by the OpenMP programming technology or execute independent programs. There are no interactions between threads and independent programs, but conflicts can occur when accessing the shared memory. Models of program execution in one core and a multicore computer are developed, considering the probabilities of successful calls and service times of all levels of the shared memory subsystem. The load factor of the first level cache is determined through the ratio of the Ll cache load time to the total execution time of the program. The execution of various types of programs is simulated. A technique for the acceleration coefficient of a multicore computer based on the total load factor of the shared memory has been proposed. Based on this insight, we apply our model to determine the acceleration coefficient for 4-, 8-, 12- and 16-core systems for different combinations of system parameters.
Nedzelky, DmytroDerkach, MarynaSkarga-Bandurova, Inna
Shumova, LarisaSafonova, SvitlanaKardashuk, Volodymyr
School of Engineering, Computing and Mathematics
Year of publication: 2022Date of RADAR deposit: 2022-07-01
“© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”