{"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\/sk\/blog\/news\/tenzornye-i-rt-yadra-zanimayut-ne-tak-mnogo-mesta-na-graficheskih-protsessorah-nvidia-turing","title":{"rendered":"Tensorov\u00e9 a RT-jadra nezaberaj\u00fa na grafick\u00fdch procesoroch NVIDIA Turing ve\u013ea miesta","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

E\u0161te po\u010das ozn\u00e1menia prv\u00fdch grafick\u00fdch kariet GeForce RTX 20. s\u00e9rie mnoh\u00ed predpokladali, \u017ee svoje pomerne ve\u013ek\u00e9 rozmery grafick\u00e9 procesory Turing v\u010fa\u010dia pr\u00edtomnosti dodato\u010dn\u00fdch blokov: RT-jadier a tenzorov\u00fdch jadier. Teraz ale jeden pou\u017e\u00edvate\u013e Redditu analyzoval infra\u010derven\u00e9 sn\u00edmky grafick\u00fdch procesorov Turing TU106 a TU116 a dospel k z\u00e1veru, \u017ee nov\u00e9 v\u00fdpo\u010dtov\u00e9 bloky nezaberaj\u00fa to\u013eko miesta, ako sa p\u00f4vodne predpokladalo.<\/p>\n

\"Tensorov\u00e9<\/p>\n

Na \u00favod si pripome\u0148me, \u017ee grafick\u00fd procesor Turing TU106 je najmen\u0161\u00edm a najkompaktnej\u0161\u00edm \u010dipom NVIDIA so \u0161peci\u00e1lnymi RT-jadrami na sledovanie l\u00fa\u010dov a tenzorov\u00fdmi jadrami na ur\u00fdchlenie funkci\u00ed umelej inteligencie. Na druhej strane, pr\u00edbuzn\u00fd grafick\u00fd procesor Turing TU116 nem\u00e1 tieto \u0161peci\u00e1lne v\u00fdpo\u010dtov\u00e9 bloky, a preto sa rozhodlo porovn\u00e1va\u0165 pr\u00e1ve ich.<\/p>\n

\"Tensorov\u00e9
\n\"Tensorov\u00e9<\/p>\n

Grafick\u00e9 procesory NVIDIA Turing sa delia na bloky TPC, ktor\u00e9 obsahuj\u00fa p\u00e1r streamovac\u00edch multiprocesorov (Streaming Multiprocessors), do ktor\u00fdch s\u00fa u\u017e zahrnut\u00e9 v\u0161etky v\u00fdpo\u010dtov\u00e9 jadr\u00e1. A ako sa uk\u00e1zalo, plocha bloku TPC grafick\u00e9ho procesora Turing TU106 je iba o 1,95 mm\u00b2 v\u00e4\u010d\u0161ia ako u Turing TU116, teda o 22 %. Z tejto plochy pripad\u00e1 1,25 mm\u00b2 na tenzorn\u00e9 jadr\u00e1 a iba 0,7 mm\u00b2 \u2013 na RT-jadr\u00e1.<\/p>\n

\"Tensorov\u00e9
\n\"Tensorov\u00e9<\/p>\n

Z toho vypl\u00fdva, \u017ee bez nov\u00fdch tenzorn\u00fdch a RT-jadr\u00e1 by vlajkov\u00fd grafick\u00fd procesor Turing TU102, ktor\u00fd je z\u00e1kladom GeForce RTX 2080 Ti, zaberalo nie 754 mm\u00b2, ale 684 mm\u00b2 (36 TPC). Na druhej strane Turing TU104, ktor\u00fd sl\u00fa\u017ei ako z\u00e1klad pre GeForce RTX 2080, by mohol zaberalo 498 mm\u00b2 namiesto 545 mm\u00b2 (24 TPC). Ako vidno, aj bez tenzorn\u00fdch a RT-jadr\u00e1 by star\u0161ie grafick\u00e9 procesory Turing boli ve\u013emi ve\u013ek\u00fdmi \u010dipmi. V\u00fdrazne v\u00e4\u010d\u0161\u00edmi ako grafick\u00e9 procesory Pascal.<\/p>\n

<\/center>
\n \"Tensorov\u00e9 <\/p>\n

Tak s \u010d\u00edm s\u00favisia tieto nemal\u00e9 rozmery? Pre za\u010diatok, pri grafick\u00fdch procesoroch Turing bol zv\u00fd\u0161en\u00fd objem cache pam\u00e4te. Zv\u00e4\u010d\u0161ila sa aj ve\u013ekos\u0165 shaderov, ako aj \u010dipy Turing disponuj\u00fa v\u00e4\u010d\u0161\u00edmi sadami in\u0161trukci\u00ed a zv\u00e4\u010d\u0161en\u00fdmi registrami. To v\u0161etko umo\u017enilo c\u00edti\u0165 nielen zv\u00e4\u010d\u0161enie plochy, ale aj v\u00fdkonu grafick\u00fdch procesorov Turing. Napr\u00edklad t\u00e1 ist\u00e1 GeForce RTX 2060 na b\u00e1ze TU106 poskytuje takmer rovnak\u00fa \u00farove\u0148 v\u00fdkonu ako GeForce GTX 1080 na b\u00e1ze GP104. Posledn\u00fd, mimochodom, m\u00e1 o 25 % viac CUDA jadier, hoci zaber\u00e1 plochu 314 mm2 oproti 410 mm2 nov\u00e9ho TU106. <\/p>\n

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Zdroj: 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\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\udd47Tensorov\u00e9 a RT-jadr\u00e1 nezaberaj\u00fa na grafick\u00fdch procesoroch NVIDIA Turing prive\u013ea miesta | ProHoster","description":"U\u017e pri ozn\u00e1men\u00ed prv\u00fdch grafick\u00fdch kariet s\u00e9rie GeForce RTX 20 mnoh\u00ed predpokladali, \u017ee svoje dos\u0165 ve\u013ek\u00e9 rozmery grafick\u00e9 procesory Turing v\u010fa\u010dia pr\u00edtomnosti dodato\u010dn\u00fdch blokov: 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\u044f\u0434\u0435\u0440.","og:url":"https:\/\/prohoster.info\/sk\/blog\/news\/tenzornye-i-rt-yadra-zanimayut-ne-tak-mnogo-mesta-na-graficheskih-protsessorah-nvidia-turing","og:image":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:secure_url":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:width":350,"og:image:height":350,"article:published_time":"2019-10-31T18:40:51+00:00","article:modified_time":"2019-10-31T18:40:51+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster","article:author":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":{"post_id":"31358","title":null,"description":null,"keywords":null,"keyphrases":null,"primary_term":null,"canonical_url":null,"og_title":null,"og_description":null,"og_object_type":"default","og_image_type":"default","og_image_url":null,"og_image_width":null,"og_image_height":null,"og_image_custom_url":null,"og_image_custom_fields":null,"og_video":null,"og_custom_url":null,"og_article_section":null,"og_article_tags":null,"twitter_use_og":false,"twitter_card":"default","twitter_image_type":"default","twitter_image_url":null,"twitter_image_custom_url":null,"twitter_image_custom_fields":null,"twitter_title":null,"twitter_description":null,"schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"","isEnabled":true},"graphs":[]},"schema_type":null,"schema_type_options":null,"pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":null,"robots_max_videopreview":null,"robots_max_imagepreview":"large","priority":null,"frequency":null,"local_seo":null,"seo_analyzer_scan_date":"2026-01-21 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