The Energy Efficiency Evaluating Method Determining Energy Consumption of the Parallel Program According to its Profile

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Názov: The Energy Efficiency Evaluating Method Determining Energy Consumption of the Parallel Program According to its Profile
Autori: Kiselev, Evgeniy, Kiselev, Valentin, Shabanov, Boris, Aladyshev, Oleg, Baranov, Anton
Zdroj: Lobachevskii Journal of Mathematics; Том 41, № 12 (2020) ; 1818-9962 ; 1995-0802
Informácie o vydavateľovi: Pleiades Publishing, LTD
Rok vydania: 2020
Zbierka: Kazan Federal University Science Tatarstan / Каза́нский федера́льный университе́т Science Tatarstan (E-Journal)
Predmety: supercomputer, energy efficiency, power consumption profile, parallel program, high performance computing system, HPC, NAS Parallel Benchmarks, Intel, 68M20
Popis: The paper is devoted to the evaluation of energy efficiency of High Performance Computing systems used in a scientific supercomputer center. The authors propose a method for the comparison of energy efficiency of computing systems based on the power consumption and execution time of parallel programs. The paper presents a software tool that allows to determine the energy consumption profile of a parallel program automatically without changing its source code. The paper also presents the results of power consumption comparison of NAS Parallel Benchmarks (BT, EP, IS, and LU) tests on computing systems with codenames Intel microprocessors Broadwell, Cascade Lake, Knights Landing and Skylake).
Druh dokumentu: article in journal/newspaper
Jazyk: English
Relation: http://ojs.kpfu.ru/index.php/ljm/article/downloadSuppFile/1476/1115; http://ojs.kpfu.ru/index.php/ljm/article/view/1476
Dostupnosť: http://ojs.kpfu.ru/index.php/ljm/article/view/1476
Rights: (c) 2020 Lobachevskii Journal of Mathematics
Prístupové číslo: edsbas.1C79131F
Databáza: BASE
Popis
Abstrakt:The paper is devoted to the evaluation of energy efficiency of High Performance Computing systems used in a scientific supercomputer center. The authors propose a method for the comparison of energy efficiency of computing systems based on the power consumption and execution time of parallel programs. The paper presents a software tool that allows to determine the energy consumption profile of a parallel program automatically without changing its source code. The paper also presents the results of power consumption comparison of NAS Parallel Benchmarks (BT, EP, IS, and LU) tests on computing systems with codenames Intel microprocessors Broadwell, Cascade Lake, Knights Landing and Skylake).