{"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\/sv\/blog\/news\/proekt-po-dobavleniyu-v-gcc-podderzhki-rasparallelivaniya-protsessa-kompilyatsii","title":{"rendered":"Projektet om att l\u00e4gga till st\u00f6d f\u00f6r parallellisering av kompilationsprocessen i GCC","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Inom ramen f\u00f6r forskningsprojektet Parallel GCC<\/a><\/noindex> har arbetet p\u00e5b\u00f6rjats f\u00f6r att l\u00e4gga till i GCC en funktion som m\u00f6jligg\u00f6r att dela upp kompilationsprocessen i flera parallellt k\u00f6rande tr\u00e5dar. F\u00f6r n\u00e4rvarande anv\u00e4nds f\u00f6r att \u00f6ka bygghastigheten p\u00e5 flerk\u00e4rniga system en metod d\u00e4r separata kompilatorprocesser startas via make, d\u00e4r varje process bygger en separat kodfil. Det nya projektet experimenterar med att m\u00f6jligg\u00f6ra parallellisering p\u00e5 kompilatorniv\u00e5, vilket potentiellt kan \u00f6ka effektiviteten p\u00e5 flerk\u00e4rniga system. <\/p>\n

F\u00f6r testning har<\/a><\/noindex> en separat parallelliserande gren av GCC, d\u00e4r ett nytt parameter har f\u00f6reslagits «—param=num-threads=N» f\u00f6r att ange antalet tr\u00e5dar. I det inledande skedet har interprocedurala optimeringar implementerats i separata exekveringstr\u00e5dar, som cykliskt anropas f\u00f6r varje funktion och l\u00e4mpar sig v\u00e4l f\u00f6r parallellisering. Operationer av GIMPLE, som ansvarar f\u00f6r h\u00e5rdvaruoberoende optimeringar som utv\u00e4rderar interaktionen mellan funktioner, har flyttats till separata tr\u00e5dar.<\/p>\n

I n\u00e4sta steg planeras \u00e4ven att flytta mellanprocedurala RTL-optimeringar till separata tr\u00e5dar, som tar h\u00e4nsyn till h\u00e5rdvaruplattformens egenskaper. Efter detta planeras implementering av parallellisering av intra-procedurala optimeringar (IPA), som till\u00e4mpas p\u00e5 koden inom en funktion, oberoende av anropsspecifika egenskaper. Den begr\u00e4nsande faktorn \u00e4r f\u00f6r n\u00e4rvarande skr\u00e4psamlaren, d\u00e4r en global l\u00e5s har lagts till som inaktiverar skr\u00e4psamlings\u00e5tg\u00e4rder under k\u00f6rning i flertr\u00e5digt l\u00e4ge (i framtiden kommer skr\u00e4psamlaren att anpassas f\u00f6r flertr\u00e5digt genomf\u00f6rande av GCC).<\/p>\n

F\u00f6r att bed\u00f6ma prestandaf\u00f6r\u00e4ndringar har ett testpaket tagits fram som bygger en fil gimple-match.c, som inneh\u00e5ller mer \u00e4n 100 000 kodrader och 1 700 funktioner. Tester p\u00e5 ett system med CPU Intel Core i5-8250U med 4 fysiska k\u00e4rnor och 8 virtuella (Hyperthreading) visade en minskning av k\u00f6rtiden f\u00f6r Intra Procedural GIMPLE-optimeringar fr\u00e5n 7 till 4 sekunder vid k\u00f6rning av 2 tr\u00e5dar och ner till 3 sekunder vid k\u00f6rning av 4 tr\u00e5dar, vilket inneb\u00e4r en hastighets\u00f6kning av det aktuella byggsteget med 1,72 och 2,52 g\u00e5nger, respektive. Tester visade ocks\u00e5 att anv\u00e4ndningen av virtuella k\u00e4rnor vid Hyperthreading inte leder till en \u00f6kning av prestandan. <\/p>\n

\"Projektet<\/center><\/p>\n

Den totala byggtiden har minskats med cirka 10%, men enligt prognoser kommer parallellisering av RTL-optimeringar att ge mer m\u00e4rkbara resultat, eftersom detta steg tar avsev\u00e4rt mer tid vid kompilering. Efter parallellisering av RTL f\u00f6rv\u00e4ntas den totala byggtiden minska med 1,61 g\u00e5nger. Efter det kan byggtiden minskas ytterligare med 5-10% genom att parallellisera IPA-optimeringar.<\/p>\n

\"Projektet<\/center><\/p>\n

<\/a><\/noindex><\/p>\n

K\u00e4lla: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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