{"id":31358,"date":"2019-10-31T21:40:51","date_gmt":"2019-10-31T18:40:51","guid":{"rendered":"https:\/\/prohoster.info\/blog\/tenzornye-i-rt-yadra-zanimayut-ne-tak-mnogo-mesta-na-graficheskih-protsessorah-nvidia-turing\/"},"modified":"2019-10-31T21:40:51","modified_gmt":"2019-10-31T18:40:51","slug":"tenzornye-i-rt-yadra-zanimayut-ne-tak-mnogo-mesta-na-graficheskih-protsessorah-nvidia-turing","status":"publish","type":"post","link":"https:\/\/prohoster.info\/pl\/blog\/news\/tenzornye-i-rt-yadra-zanimayut-ne-tak-mnogo-mesta-na-graficheskih-protsessorah-nvidia-turing","title":{"rendered":"J\u0105dra tensorowe i RT zajmuj\u0105 niewiele miejsca na procesorach graficznych NVIDIA Turing","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Ju\u017c podczas zapowiedzi pierwszych kart graficznych GeForce RTX 20. serii wielu uwa\u017ca\u0142o, \u017ce swoje ca\u0142kiem spore wymiary procesory graficzne Turing zawdzi\u0119czaj\u0105 obecno\u015bci dodatkowych blok\u00f3w: rdzeni RT i rdzeni tensorowych. Teraz jeden z u\u017cytkownik\u00f3w Reddita przeanalizowa\u0142 zdj\u0119cia w podczerwieni procesor\u00f3w graficznych Turing TU106 i TU116 i doszed\u0142 do wniosku, \u017ce nowe bloki obliczeniowe zajmuj\u0105 znacznie mniej miejsca, ni\u017c pocz\u0105tkowo s\u0105dzono.<\/p>\n

\"J\u0105dra<\/p>\n

Na pocz\u0105tek przypomnijmy, \u017ce procesor graficzny Turing TU106 jest najmniejszym i najbardziej kompaktowym chipem NVIDII z dedykowanymi rdzeniami RT do \u015bledzenia promieni oraz rdzeniami tensorowymi przyspieszaj\u0105cymi funkcje sztucznej inteligencji. Z kolei spokrewniony z nim procesor graficzny Turing TU116 nie posiada tych specjalnych blok\u00f3w obliczeniowych, dlatego zdecydowano si\u0119 na ich bezpo\u015brednie por\u00f3wnanie.<\/p>\n

\"J\u0105dra
\n\"J\u0105dra<\/p>\n

Karty graficzne NVIDIA Turing dziel\u0105 si\u0119 na bloki TPC, kt\u00f3re zawieraj\u0105 par\u0119 multiprocesor\u00f3w strumieniowych (Streaming Multiprocessors), w kt\u00f3rych znajduj\u0105 si\u0119 wszystkie rdzenie obliczeniowe. Okazuje si\u0119, \u017ce obszar bloku TPC w procesorze graficznym Turing TU106 jest jedynie o 1,95 mm\u00b2 wi\u0119kszy ni\u017c w Turing TU116, czyli o 22%. Z tej powierzchni 1,25 mm\u00b2 przypada na rdzenie tensora, a jedynie 0,7 mm\u00b2 \u2014 na rdzenie RT.<\/p>\n

\"J\u0105dra
\n\"J\u0105dra<\/p>\n

Zatem bez nowych rdzeni tensora i RT, flagowy procesor graficzny Turing TU102, b\u0119d\u0105cy podstaw\u0105 GeForce RTX 2080 Ti, zajmowa\u0142by nie 754 mm\u00b2, lecz 684 mm\u00b2 (36 TPC). Z kolei Turing TU104, b\u0119d\u0105cy podstaw\u0105 GeForce RTX 2080, m\u00f3g\u0142by zajmowa\u0107 498 mm\u00b2 zamiast 545 mm\u00b2 (24 TPC). Jak wida\u0107, nawet bez rdzeni tensora i RT, wy\u017csze procesory graficzne Turing by\u0142yby do\u015b\u0107 du\u017cymi chipami, znacznie wi\u0119kszymi ni\u017c procesory graficzne Pascal.<\/p>\n

<\/center>
\n \"J\u0105dra <\/p>\n

Z czym wi\u0119c zwi\u0105zane s\u0105 te znaczne rozmiary? Na pocz\u0105tek, zwi\u0119kszono obj\u0119to\u015b\u0107 pami\u0119ci podr\u0119cznej w procesorach graficznych Turing. Powi\u0119kszono tak\u017ce rozmiar shader\u00f3w, a chipy Turing dysponuj\u0105 wi\u0119kszymi zestawami instrukcji i powi\u0119kszonymi rejestrami. Wszystko to pozwoli\u0142o znacznie zwi\u0119kszy\u0107 nie tylko powierzchni\u0119, ale i wydajno\u015b\u0107 procesor\u00f3w graficznych Turing. Na przyk\u0142ad GeForce RTX 2060 oparty na TU106 zapewnia niemal taki sam poziom wydajno\u015bci jak GeForce GTX 1080 oparty na GP104. Ten ostatni zreszt\u0105 dysponuje o 25% wi\u0119ksz\u0105 liczb\u0105 rdzeni CUDA, mimo \u017ce zajmuje powierzchni\u0119 314 mm\u00b2 w por\u00f3wnaniu do 410 mm\u00b2 nowego TU106. <\/p>\n

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\u0179r\u00f3d\u0142o: 3dnews.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u0415\u0449\u0451 \u0432\u043e \u0432\u0440\u0435\u043c\u044f \u0430\u043d\u043e\u043d\u0441\u0430 \u043f\u0435\u0440\u0432\u044b\u0445 \u0432\u0438\u0434\u0435\u043e\u043a\u0430\u0440\u0442 GeForce RTX 20-\u0439 \u0441\u0435\u0440\u0438\u0438 \u043c\u043d\u043e\u0433\u0438\u0435 \u043f\u043e\u0441\u0447\u0438\u0442\u0430\u043b\u0438, \u0447\u0442\u043e \u0441\u0432\u043e\u0438\u043c\u0438 \u0441\u043e\u0432\u0441\u0435\u043c \u043d\u0435 \u043c\u0430\u043b\u0435\u043d\u044c\u043a\u0438\u043c \u0433\u0430\u0431\u0430\u0440\u0438\u0442\u0430\u043c\u0438 \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u044b Turing \u043e\u0431\u044f\u0437\u0430\u043d\u044b \u043d\u0430\u043b\u0438\u0447\u0438\u044e \u0434\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u0431\u043b\u043e\u043a\u043e\u0432: RT-\u044f\u0434\u0435\u0440 \u0438 \u0442\u0435\u043d\u0437\u043e\u0440\u043d\u044b\u0445 \u044f\u0434\u0435\u0440. \u0422\u0435\u043f\u0435\u0440\u044c \u0436\u0435 \u043e\u0434\u0438\u043d \u0438\u0437 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439 Reddit \u043f\u0440\u043e\u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043b \u0438\u043d\u0444\u0440\u0430\u043a\u0440\u0430\u0441\u043d\u044b\u0435 \u0441\u043d\u0438\u043c\u043a\u0438 \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u043e\u0432 Turing TU106 \u0438 TU116 \u0438 \u0437\u0430\u043a\u043b\u044e\u0447\u0438\u043b, \u0447\u0442\u043e \u043d\u043e\u0432\u044b\u0435 \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0431\u043b\u043e\u043a\u0438 \u0437\u0430\u043d\u0438\u043c\u0430\u044e\u0442 \u043d\u0435 \u0442\u0430\u043a \u043c\u043d\u043e\u0433\u043e \u043c\u0435\u0441\u0442\u0430, […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":23324,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-31358","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Rdzenie tensorowe i RT zajmuj\u0105 niewiele miejsca na kartach graficznych NVIDIA Turing | ProHoster","description":"Ju\u017c podczas zapowiedzi pierwszych kart graficznych GeForce RTX z serii 20. wielu uwa\u017ca\u0142o, \u017ce ich ca\u0142kiem spore wymiary s\u0105 zas\u0142ug\u0105 dodatkowych blok\u00f3w: rdzeni RT i rdzeni 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