Autors: Penev K., Slavov, V. D. Title: The Software Energy Efficiency Towards Sustainable Computing Keywords: Bremermann’s Limit, Differential Evolution, Free Search, large scale computing, Software energy efficiency, Sustainable computingAbstract: The increasing dependence on information technology in many aspects of human life often causes high demand for resources, in particular energy, which has an impact on the environment obeying natural, physical limita-tions. Global sustainability requires efficient responsible computing and im-provement of hardware and software energy efficiency. This article focuses of software energy efficiency and its role towards sustainable computing. The introduction points out Bremermann’s limit and the possible conse-quences if extensive improvements in computing performance approach this limit. The role of energy-efficient software applied to large-scale tasks is ana-lysed. An empirical study illustrates the energy efficiency of different algo-rithms when solving identical large-scale numerical tests. A brief discussion and consideration of further work conclude the article. References - JVA Initiative Committee and Iowa State University, Atanasoff berry computer (2011). https://jva.cs.iastate.edu/operation.php. Accessed 12 Jun 2024
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| Lecture Notes in Computer Science, vol. 16061 LNCS, pp. 245-252, 2026, Albania, https://doi.org/10.1007/978-3-032-22221-3_27 |
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