{"id":38137,"date":"2019-10-31T22:21:53","date_gmt":"2019-10-31T19:21:53","guid":{"rendered":"https:\/\/prohoster.info\/blog\/proekt-po-dobavleniyu-v-gcc-podderzhki-rasparallelivaniya-protsessa-kompilyatsii\/"},"modified":"2019-10-31T22:21:53","modified_gmt":"2019-10-31T19:21:53","slug":"proekt-po-dobavleniyu-v-gcc-podderzhki-rasparallelivaniya-protsessa-kompilyatsii","status":"publish","type":"post","link":"https:\/\/prohoster.info\/es\/blog\/news\/proekt-po-dobavleniyu-v-gcc-podderzhki-rasparallelivaniya-protsessa-kompilyatsii","title":{"rendered":"Proyecto para a\u00f1adir soporte de paralelizaci\u00f3n del proceso de compilaci\u00f3n en GCC","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Como parte de un proyecto de investigaci\u00f3n <noindex><a rel=\"nofollow\" href=\"https:\/\/gcc.gnu.org\/wiki\/ParallelGcc\">Parallel GCC<\/a><\/noindex> se ha comenzado a trabajar en la incorporaci\u00f3n en GCC de una capacidad que permite dividir el proceso de compilaci\u00f3n en varios hilos ejecut\u00e1ndose en paralelo. Actualmente, para aumentar la velocidad de compilaci\u00f3n en sistemas multin\u00facleo, se utiliza la ejecuci\u00f3n de procesos separados del compilador a nivel de la herramienta make, cada uno de los cuales compila un archivo de c\u00f3digo individual. El nuevo proyecto experimenta con la provisi\u00f3n de paralelizaci\u00f3n a nivel de compilador, lo que potencialmente podr\u00eda mejorar la eficiencia en sistemas multin\u00facleo. <\/p>\n<p>Para las pruebas <noindex><a rel=\"nofollow\" href=\"https:\/\/gitlab.com\/flusp\/gcc\/tree\/giulianob_parallel\">ha preparado<\/a><\/noindex> una rama de paralelizaci\u00f3n separada de GCC, para la cual se ha propuesto un nuevo par\u00e1metro &#171;&#8212;param=num-threads=N&#187; para establecer el n\u00famero de hilos. En la etapa inicial se ha implementado la extracci\u00f3n a hilos de ejecuci\u00f3n separados de las optimizaciones interprocedimentales, que se llaman c\u00edclicamente para cada funci\u00f3n y son f\u00e1cilmente paralelizables. Se han externalizado a hilos separados las operaciones GIMPLE, responsables de las optimizaciones independientes del hardware, que eval\u00faan la interacci\u00f3n entre las funciones.<\/p>\n<p>En la siguiente etapa, tambi\u00e9n se planea trasladar a hilos separados las optimizaciones RTL interprocedurales, que tienen en cuenta las caracter\u00edsticas de la plataforma de hardware. Despu\u00e9s de esto, se prev\u00e9 implementar la paralelizaci\u00f3n de las optimizaciones intraprocedurales (IPA), aplicadas al c\u00f3digo dentro de la funci\u00f3n, independientemente de las particularidades de la llamada. Actualmente, el limitante es el recolector de basura, al que se le ha a\u00f1adido un bloqueo global que desactiva las operaciones de recolecci\u00f3n de basura durante la ejecuci\u00f3n en modo multihilo (en el futuro, el recolector de basura ser\u00e1 adaptado para la ejecuci\u00f3n multihilo de GCC).<\/p>\n<p>Para evaluar el cambio en el rendimiento, se prepar\u00f3 un conjunto de pruebas que compila el archivo gimple-match.c, que incluye m\u00e1s de 100,000 l\u00edneas de c\u00f3digo y 1,700 funciones. Las pruebas en un sistema con CPU Intel Core i5-8250U con 4 n\u00facleos f\u00edsicos y 8 n\u00facleos virtuales (Hyperthreading) mostraron una disminuci\u00f3n en el tiempo de ejecuci\u00f3n de las optimizaciones Intra Procedural GIMPLE de 7 a 4 segundos al ejecutar 2 hilos y a 3 segundos al ejecutar 4 hilos, es decir, se logr\u00f3 un aumento de velocidad en la fase de compilaci\u00f3n considerada de 1.72 y 2.52 veces, respectivamente. Las pruebas tambi\u00e9n mostraron que el uso de n\u00facleos virtuales con Hyperthreading no conduce a un aumento del rendimiento. <\/p>\n<p><center><img decoding=\"async\" alt=\"Proyecto para a\u00f1adir soporte de paralelizaci\u00f3n del proceso de compilaci\u00f3n en GCC\" src=\"\/wp-content\/uploads\/2019\/09\/c2d0ed085f0247e497e671c13cb06505.jpeg\" style=\"display:block;margin: 0 auto;\" \/><\/center><\/p>\n<p>El tiempo total de compilaci\u00f3n se redujo aproximadamente en un 10%, pero se prev\u00e9 que la paralelizaci\u00f3n de las optimizaciones RTL permitir\u00e1 obtener resultados m\u00e1s significativos, ya que esta etapa consume considerablemente m\u00e1s tiempo durante la compilaci\u00f3n. Se estima que despu\u00e9s de la paralelizaci\u00f3n de RTL, el tiempo total de compilaci\u00f3n se reducir\u00e1 en 1.61 veces. Despu\u00e9s de esto, se podr\u00e1 reducir el tiempo de compilaci\u00f3n en un 5-10% m\u00e1s mediante la paralelizaci\u00f3n de las optimizaciones IPA.<\/p>\n<p><center><img decoding=\"async\" alt=\"Proyecto para a\u00f1adir soporte de paralelizaci\u00f3n del proceso de compilaci\u00f3n en GCC\" src=\"\/wp-content\/uploads\/2019\/09\/efea1dac269fb10e57a05778e5e1467f.jpeg\" style=\"display:block;margin: 0 auto;\" \/><\/center><\/p>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Fuente: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=51491\">opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0412 \u0440\u0430\u043c\u043a\u0430\u0445 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u043e\u0433\u043e \u043f\u0440\u043e\u0435\u043a\u0442\u0430 Parallel GCC \u043d\u0430\u0447\u0430\u043b\u0430\u0441\u044c \u0440\u0430\u0431\u043e\u0442\u0430 \u043f\u043e \u0434\u043e\u0431\u0430\u0432\u043b\u0435\u043d\u0438\u044e \u0432 GCC \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0435\u0439 \u0440\u0430\u0437\u0434\u0435\u043b\u044f\u0442\u044c \u043f\u0440\u043e\u0446\u0435\u0441\u0441 \u043a\u043e\u043c\u043f\u0438\u043b\u044f\u0446\u0438\u0438 \u043d\u0430 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043f\u0430\u0440\u0430\u043b\u043b\u0435\u043b\u044c\u043d\u043e \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u043c\u044b\u0445 \u043f\u043e\u0442\u043e\u043a\u043e\u0432. \u0412 \u043d\u0430\u0441\u0442\u043e\u044f\u0449\u0435\u0435 \u0432\u0440\u0435\u043c\u044f \u0434\u043b\u044f \u043f\u043e\u0432\u044b\u0448\u0435\u043d\u0438\u044f \u0441\u043a\u043e\u0440\u043e\u0441\u0442\u0438 \u0441\u0431\u043e\u0440\u043a\u0438 \u043d\u0430 \u043c\u043d\u043e\u0433\u043e\u044f\u0434\u0435\u0440\u043d\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c\u0430\u0445 \u043d\u0430 \u0443\u0440\u043e\u0432\u043d\u0435 \u0443\u0442\u0438\u043b\u0438\u0442\u044b make \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u0442\u0441\u044f \u0437\u0430\u043f\u0443\u0441\u043a \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u0445 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0432 \u043a\u043e\u043c\u043f\u0438\u043b\u044f\u0442\u043e\u0440\u0430, \u043a\u0430\u0436\u0434\u044b\u0439 \u0438\u0437 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442 \u0441\u0431\u043e\u0440\u043a\u0443 \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u043e\u0433\u043e \u0444\u0430\u0439\u043b\u0430 \u0441 \u043a\u043e\u0434\u043e\u043c. \u041d\u043e\u0432\u044b\u0439 \u043f\u0440\u043e\u0435\u043a\u0442 \u044d\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u0438\u0440\u0443\u0435\u0442 \u0441 \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u0435\u043c [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":28626,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-38137","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0412 \u0440\u0430\u043c\u043a\u0430\u0445 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u043e\u0433\u043e \u043f\u0440\u043e\u0435\u043a\u0442\u0430 Parallel GCC \u043d\u0430\u0447\u0430\u043b\u0430\u0441\u044c \u0440\u0430\u0431\u043e\u0442\u0430 \u043f\u043e \u0434\u043e\u0431\u0430\u0432\u043b\u0435\u043d\u0438\u044e \u0432 GCC 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