{"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\/hr\/blog\/news\/proekt-po-dobavleniyu-v-gcc-podderzhki-rasparallelivaniya-protsessa-kompilyatsii","title":{"rendered":"Projekt dodavanja podr\u0161ke za paralelizaciju procesa kompilacije u GCC-u","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

U okviru istra\u017eiva\u010dkog projekta Parallel GCC<\/a><\/noindex> zapo\u010deo je rad na dodavanju podr\u0161ke za razdvajanje procesa kompilacije u vi\u0161e paralelno izvr\u0161avanih niti u GCC-u. Trenutno se za pove\u0107anje brzine izgradnje na vi\u0161ekrdnim sustavima koristi pokretanje zasebnih procesa prevoditelja, od kojih svaki izgra\u0111uje zasebnu datoteku s kodom na razini alata make. Novi projekt eksperimentira s osiguravanjem paralelizacije na razini prevoditelja, \u0161to potencijalno mo\u017ee pove\u0107ati u\u010dinkovitost rada na vi\u0161ekrdnim sustavima. <\/p>\n

Za testiranje pripremio<\/a><\/noindex> \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u0430\u044f \u0440\u0430\u0441\u043f\u0430\u0440\u0430\u043b\u043b\u0435\u043b\u0438\u0432\u0430\u044e\u0449\u0430\u044f \u0432\u0435\u0442\u043a\u0430 GCC, \u0434\u043b\u044f \u0437\u0430\u0434\u0430\u043d\u0438\u044f \u0447\u0438\u0441\u043b\u0430 \u043f\u043e\u0442\u043e\u043a\u043e\u0432 \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u0439 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d \u043d\u043e\u0432\u044b\u0439 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440 «—param=num-threads=N». \u041d\u0430 \u043d\u0430\u0447\u0430\u043b\u044c\u043d\u043e\u043c \u044d\u0442\u0430\u043f\u0435 \u0440\u0435\u0430\u043b\u0438\u0437\u043e\u0432\u0430\u043d \u0432\u044b\u043d\u043e\u0441 \u0432 \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u0435 \u043f\u043e\u0442\u043e\u043a\u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u043c\u0435\u0436\u043f\u0440\u043e\u0446\u0435\u0434\u0443\u0440\u043d\u044b\u0445 \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u0439, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0446\u0438\u043a\u043b\u0438\u0447\u043d\u043e \u0432\u044b\u0437\u044b\u0432\u0430\u044e\u0442\u0441\u044f \u0434\u043b\u044f \u043a\u0430\u0436\u0434\u043e\u0439 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u0438 \u0445\u043e\u0440\u043e\u0448\u043e \u043f\u043e\u0434\u0434\u0430\u044e\u0442\u0441\u044f \u0440\u0430\u0441\u043f\u0430\u0440\u0430\u043b\u0435\u043b\u043b\u0438\u0432\u0430\u043d\u0438\u044e. \u0412 \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u0435 \u043f\u043e\u0442\u043e\u043a\u0438 \u0432\u044b\u043d\u0435\u0441\u0435\u043d\u044b \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 GIMPLE, \u043e\u0442\u0432\u0435\u0447\u0430\u044e\u0449\u0438\u0435 \u0437\u0430 \u043d\u0435\u0437\u0430\u0432\u0438\u0441\u044f\u0449\u0438\u0435 \u043e\u0442 \u043e\u0431\u043e\u0440\u0443\u0434\u043e\u0432\u0430\u043d\u0438\u044f \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u0438, \u043e\u0446\u0435\u043d\u0438\u0432\u0430\u044e\u0449\u0438\u0435 \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0439 \u043c\u0435\u0436\u0434\u0443 \u0441\u043e\u0431\u043e\u0439.<\/p>\n

U sljede\u0107oj fazi tako\u0111er je planirano prebacivanje me\u0111uprocjenskih RTL optimizacija u odvojene niti, uzimaju\u0107i u obzir karakteristike hardverske platforme. Nakon toga planirano je realizirati paralelizaciju unutarproceduralnih optimizacija (IPA), koje se primjenjuju na kod unutar funkcije, neovisno o specifi\u010dnostima poziva. Ograni\u010davaju\u0107i faktor za sada je sakuplja\u010d sme\u0107a, kojem je dodana globalna blokada, onemogu\u0107uju\u0107i operacije sakupljanja sme\u0107a tijekom rada u vi\u0161edretvenom na\u010dinu (u budu\u0107nosti \u0107e sakuplja\u010d sme\u0107a biti prilago\u0111en za vi\u0161edretveno izvr\u0161avanje GCC-a).<\/p>\n

Za procjenu promjene performansi pripremljen je testni set koji provodi izgradnju datoteke gimple-match.c, koja uklju\u010duje vi\u0161e od 100 tisu\u0107a redaka koda i 1700 funkcija. Testovi na sustavu s CPU-om Intel Core i5-8250U sa 4 fizi\u010dka jezgra i 8 virtualnih (Hyperthreading) pokazali su smanjenje vremena izvo\u0111enja optimizacija Intra Procedural GIMPLE sa 7 na 4 sekunde pri pokretanju 2 niti i do 3 sekunde pri pokretanju 4 niti, tj. postignuto je pove\u0107anje brzine razmatrane faze izgradnje za 1.72 i 2.52 puta, respektivno. Testovi su tako\u0111er pokazali da kori\u0161tenje virtualnih jezgri pri Hyperthreadingu ne dovodi do rasta performansi. <\/p>\n

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

Ukupno vrijeme sastavljanja smanjeno je otprilike 10%, no prema prognozama, paralelizacija RTL optimizacija omogu\u0107it \u0107e postizanje zna\u010dajnijih rezultata, jer ova faza prilikom kompajliranja zauzima znatno vi\u0161e vremena. O\u010dekuje se da \u0107e nakon paralelizacije RTL ukupno vrijeme sastavljanja biti smanjeno 1,61 puta. Nakon toga, dodatnih 5-10% vremena mogu se smanjiti zahvaljuju\u0107i paralelizaciji IPA optimizacija.<\/p>\n

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

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

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

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