{"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\/et\/blog\/novosti-interneta\/tenzornye-i-rt-yadra-zanimayut-ne-tak-mnogo-mesta-na-graficheskih-protsessorah-nvidia-turing","title":{"rendered":"Tensor- ja RT-tuumikud ei v\u00f5ta NVIDIA Turingi graafikaprotsessoritel nii palju ruumi.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Juba, kui esimesed GeForce RTX 20-seeria graafikakaardid v\u00e4lja kuulutati, arvasid paljud, et Turingi graafikaprotsessorite suurem suurus on tingitud t\u00e4iendavatest plokkidest: RT- tuumadest ja tensorituumadest. N\u00fc\u00fcd on \u00fcks Redditi kasutaja anal\u00fc\u00fcsinud Turing TU106 ja TU116 graafikaprotsessorite infrapuna pilte ning j\u00e4reldanud, et uued arvutusplokid ei v\u00f5ta nii palju ruumi, nagu algselt arvati.<\/p>\n

\"Tensor-<\/p>\n

Alustuseks meenutame, et graafikaprotsessor Turing TU106 on NVIDIA v\u00e4ikseim ja kompaktseim kiip, millel on spetsiaalsed RT-tuuma kiired j\u00e4lgimiseks ja tensorituumad tehisintellekti funktsioonide kiirendamiseks. Samas on temaga seotud graafikaprotsessor Turing TU116 ilma nende spetsiaalsete arvutusplokkideta, mist\u00f5ttu otsustati neid just v\u00f5rrelda.<\/p>\n

\"Tensor-
\n\"Tensor-<\/p>\n

NVIDIA Turingi graafikaprotsessorid jagunevad TPC-plokkideks, mis sisaldavad kahte voolumultiprotsessorit (Streaming Multiprocessors), kuhu on koondatud k\u00f5ik arvutusydemed. Ja nagu selgus, on Turing TU106 graafikaprotsessori TPC-ploki pindala vaid 1,95 mm\u00b2 suurem kui Turing TU116 oma, mis on 22% rohkem. Sellest pindalast 1,25 mm\u00b2 langeb tensoorydmete osale ja vaid 0,7 mm\u00b2 RT-ydemetele.<\/p>\n

\"Tensor-
\n\"Tensor-<\/p>\n

Seega, kui mitte arvestada uusi tensoorydmeid ja RT-ydemeid, oleks lipulaev Turing TU102, mille alusel p\u00f5hineb GeForce RTX 2080 Ti, suurus vaid 684 mm\u00b2, mitte 754 mm\u00b2 (36 TPC). Omakorda v\u00f5iks Turing TU104, mis on GeForce RTX 2080 aluseks, olla 498 mm\u00b2 asemel 545 mm\u00b2 (24 TPC). Nagu n\u00e4ha, oleksid ka ilma tensoorydmete ja RT-ydemeteta vanemad Turingi graafikaprotsessorid olnud v\u00e4ga suured kiibid. Oluliselt suuremad kui Pascal'i graafikaprotsessorid.<\/p>\n

<\/center>
\n \"Tensor- <\/p>\n

Kust tuleb nii suurus? Esiteks, Turingi graafikaprotsessoritel on suurenenud vahem\u00e4lu. Samuti on suurenenud shaderite suurus ning Turingi kiibid sisaldavad suuremaid k\u00e4su komplekte ja suurendatud registreid. See v\u00f5imaldas oluliselt suurendada mitte ainult pinda, vaid ka Turingi graafikaprotsessorite j\u00f5udlust. N\u00e4iteks GeForce RTX 2060 baseerub TU106-l, mis pakub peaaegu sama tasemega j\u00f5udlust kui GeForce GTX 1080, mis p\u00f5hineb GP104-l. Viimase puhul on kuigi 25% rohkem CUDA tuumasid, on selle pindala 314 mm\u00b2 v\u00f5rreldes 410 mm\u00b2 TU106-l. <\/p>\n

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

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