{"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\/pt\/blog\/news\/proekt-po-dobavleniyu-v-gcc-podderzhki-rasparallelivaniya-protsessa-kompilyatsii","title":{"rendered":"Projeto para adicionar suporte \u00e0 paraleliza\u00e7\u00e3o do processo de compila\u00e7\u00e3o no GCC","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>No \u00e2mbito do projeto de pesquisa <noindex><a rel=\"nofollow\" href=\"https:\/\/gcc.gnu.org\/wiki\/ParallelGcc\">Parallel GCC<\/a><\/noindex> come\u00e7ou o trabalho para adicionar ao GCC uma funcionalidade que permite dividir o processo de compila\u00e7\u00e3o em v\u00e1rios threads executados em paralelo. Atualmente, para aumentar a velocidade de compila\u00e7\u00e3o em sistemas multin\u00facleo, a n\u00edvel da utilidade make, s\u00e3o lan\u00e7ados processos separados do compilador, cada um deles respons\u00e1vel pela compila\u00e7\u00e3o de um arquivo de c\u00f3digo separado. O novo projeto experimenta a paraleliza\u00e7\u00e3o a n\u00edvel do compilador, o que potencialmente permitir\u00e1 aumentar a efici\u00eancia em sistemas multin\u00facleo. <\/p>\n<p>Para testes <noindex><a rel=\"nofollow\" href=\"https:\/\/gitlab.com\/flusp\/gcc\/tree\/giulianob_parallel\">preparada<\/a><\/noindex> uma ramifica\u00e7\u00e3o separada para paraleliza\u00e7\u00e3o do GCC, na qual foi proposto um novo par\u00e2metro &#171;&#8212;param=num-threads=N&#187; para definir o n\u00famero de threads. Na fase inicial, foram implementadas otimiza\u00e7\u00f5es interprocedimentais em threads separadas, que s\u00e3o invocadas ciclicamente para cada fun\u00e7\u00e3o e se prestam bem \u00e0 paraleliza\u00e7\u00e3o. Opera\u00e7\u00f5es GIMPLE, respons\u00e1veis por otimiza\u00e7\u00f5es independentes de hardware que avaliam a intera\u00e7\u00e3o entre fun\u00e7\u00f5es, foram movidas para threads separadas.<\/p>\n<p>Na pr\u00f3xima etapa, tamb\u00e9m est\u00e1 previsto extrair para threads separadas as otimiza\u00e7\u00f5es RTL interprocedurais, que consideram as caracter\u00edsticas da plataforma de hardware. Ap\u00f3s isso, planeja-se implementar a paraleliza\u00e7\u00e3o das otimiza\u00e7\u00f5es intraprocedurais (IPA), aplic\u00e1veis ao c\u00f3digo dentro da fun\u00e7\u00e3o, independentemente das particularidades da chamada. O elo limitante at\u00e9 agora \u00e9 o coletor de lixo, que foi adicionado com um bloqueio global, desativando as opera\u00e7\u00f5es de coleta de lixo durante a execu\u00e7\u00e3o em modo multithread (no futuro, o coletor de lixo ser\u00e1 adaptado para a execu\u00e7\u00e3o multithread do GCC).<\/p>\n<p>Para avaliar a mudan\u00e7a de desempenho, um conjunto de testes foi preparado, realizando a compila\u00e7\u00e3o do arquivo gimple-match.c, que inclui mais de 100 mil linhas de c\u00f3digo e 1700 fun\u00e7\u00f5es. Os testes em um sistema com CPU Intel Core i5-8250U com 4 n\u00facleos f\u00edsicos e 8 virtuais (Hyperthreading) mostraram uma redu\u00e7\u00e3o no tempo de execu\u00e7\u00e3o das otimiza\u00e7\u00f5es Intra Procedural GIMPLE de 7 para 4 segundos ao executar 2 threads e para 3 segundos ao executar 4 threads, ou seja, um aumento na velocidade da fase de compila\u00e7\u00e3o considerada de 1.72 e 2.52 vezes, respectivamente. Os testes tamb\u00e9m mostraram que o uso de n\u00facleos virtuais durante o Hyperthreading n\u00e3o resulta em aumento de desempenho. <\/p>\n<p><center><img decoding=\"async\" alt=\"Projeto para adicionar suporte \u00e0 paraleliza\u00e7\u00e3o do processo de compila\u00e7\u00e3o no GCC\" src=\"\/wp-content\/uploads\/2019\/09\/c2d0ed085f0247e497e671c13cb06505.jpeg\" style=\"display:block;margin: 0 auto;\" \/><\/center><\/p>\n<p>O tempo total de compila\u00e7\u00e3o diminuiu aproximadamente em 10%, mas as previs\u00f5es indicam que a paraleliza\u00e7\u00e3o das otimiza\u00e7\u00f5es RTL permitir\u00e1 resultados mais significativos, j\u00e1 que essa fase leva consideravelmente mais tempo durante a compila\u00e7\u00e3o. Estima-se que, ap\u00f3s a paraleliza\u00e7\u00e3o do RTL, o tempo total de compila\u00e7\u00e3o ser\u00e1 reduzido em 1,61 vezes. Al\u00e9m disso, ser\u00e1 poss\u00edvel reduzir o tempo de compila\u00e7\u00e3o em mais 5-10% por meio da paraleliza\u00e7\u00e3o das otimiza\u00e7\u00f5es IPA.<\/p>\n<p><center><img decoding=\"async\" alt=\"Projeto para adicionar suporte \u00e0 paraleliza\u00e7\u00e3o do processo de compila\u00e7\u00e3o no 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>Fonte: <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 5.0.3 - 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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