Assessing of the Impact of Source Code Different Sections on the Computing System Power Consumption
Abstract
The hypothesis about the possibility of assessing the impact of the program source code on the computing system power consumption is tested in the work. The authors proposed an algorithm for assessing the program code energy efficiency based on the studied optimization methods. The software tool prototype as an extension for Visual Studio Code implementing the presented algorithm was developed. Experimental results on the study of various ways to improve the program code energy efficiency, as well as the results of testing the developed algorithm operability are presented.
About the Authors
E. A. Kiselev
МСЦ РАН – филиал ФГУ ФНЦ НИИСИ РАН, НИЦ «Курчатовский институт»
Russian Federation
Russian Federation
D. A. Chubarov
РТУ МИРЭА
Russian Federation
Russian Federation
A. V. Baranov
МСЦ РАН – филиал ФГУ ФНЦ НИИСИ РАН, НИЦ «Курчатовский институт»
Russian Federation
Russian Federation
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Review
For citations:
Kiselev E.A., Chubarov D.A., Baranov A.V. Assessing of the Impact of Source Code Different Sections on the Computing System Power Consumption. SRISA Proceedings. 2024;14(4):67-74. (In Russ.)
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