2026-05-27T05:34:47Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/169102026-02-03T11:48:06Zcom_10630_2254col_10630_37959

Alba-Torres, Enrique Luque-Polo, Gabriel Jesús 2018-11-21T10:23:33Z 2018-11-21T10:23:33Z 2018-11-21 https://hdl.handle.net/10630/16910 The efficiency of a software piece is a key factor for many systems. Real-time programs, critical software, device drivers, kernel OS functions and many other software pieces which are executed thousands or even millions of times per day require a very efficient execution. How this software is built can significantly affect the run time for these programs, since the context is that of compile-once/run-many. In this sense, the optimization flags used during the compilation time are a crucial element for this goal and they could make a big difference in the final execution time. In this paper, we use parallel metaheuristic techniques to automatically decide which optimization flags should be activated during the compilation on a set of benchmarking programs. The using the appropriate flag configuration is a complex combinatorial problem, but our approach is able to adapt the flag tuning to the characteristics of the software, improving the final run times with respect to other spread practices eng open access Inteligencia computacional Finding Best Compiler Options for Critical Software Using Parallel Algorithms conference output