{"id":34705,"date":"2019-10-31T21:59:54","date_gmt":"2019-10-31T18:59:54","guid":{"rendered":"https:\/\/prohoster.info\/blog\/arm-predstavila-novoe-moshhnoe-yadro-tsp-cortex-a77\/"},"modified":"2019-10-31T21:59:54","modified_gmt":"2019-10-31T18:59:54","slug":"arm-predstavila-novoe-moshhnoe-yadro-tsp-cortex-a77","status":"publish","type":"post","link":"https:\/\/prohoster.info\/et\/blog\/news\/arm-predstavila-novoe-moshhnoe-yadro-tsp-cortex-a77","title":{"rendered":"ARM esitles uut v\u00f5imsat protsessorituuma \u2014 Cortex-A77","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

ARM tutvustas oma uusimat protsessoridisaini \u2014 Cortex-A77. Nagu eelmisel aastal esitletud Cortex-A76, on see tuum suunatud k\u00f5rgklassilistele \u00fclesannetele nutitelefonides ja muudes seadmetes. Arendaja eesm\u00e4rk on suurendada t\u00e4itmisoperatsioonide arvu ts\u00fckli kohta (IPC). Taktsagedused ja energiatarve on j\u00e4\u00e4nud enam-v\u00e4hem samaks nagu Cortex-A76-l.<\/p>\n

\"ARM<\/p>\n

Praegu soovib ARM kiiresti suurendada oma tuumade j\u00f5udlust. Nende plaanide kohaselt, alates Cortex-A73-st 2016. aastal kuni 2020. aasta Hercules disainini, kavatseb ettev\u00f5te suurendada protsessorite v\u00f5imsust 2,5 korda. \u00dcleminekud 16 nm-lt 10 nm-le ja seej\u00e4rel 7 nm-le on v\u00f5imaldanud t\u00f5sta taktsagedust ning koos Cortex-A75 ja hilisema Cortex-A76 arhitektuuriga on ARMi hinnangul saavutatud t\u00e4naseks 1,8-kordne t\u00f5us j\u00f5udluses. N\u00fc\u00fcd peaks Cortex-A77 tuum IPC kasvu t\u00f5ttu t\u00f5stma j\u00f5udlust veel 20 % ulatuses sama taktsageduse juures. Seega, 2,5-kordne t\u00f5us 2020. aastal on t\u00e4iesti teostatav.<\/p>\n

\"ARM<\/p>\n

Hoolimata IPC kasvu 20 %, ei ole ARMi hinnangul A77 energiatarve suurenenud. Kompromissina on A77 siirdesuurus umbes 17 % suurem kui A76 samade tehnoloogiliste normide juures. Selle tulemusena suureneb \u00fche tuuma maksumus veidi. Kui v\u00f5rrelda ARMi saavutusi t\u00f6\u00f6stuse liidritega, siis on oluline m\u00e4rkida, et AMD Zen 2-s saavutas IPC kasvu 15 % v\u00f5rreldes Zen+-iga, samas kui Intel tuumade IPC on aastaid olnud umbes samal tasemel.<\/p>\n

\"ARM<\/p>\n

K\u00e4skude j\u00e4rjestuse muutmise akna suurus (out-of-order window size) on suurenenud 25 %, ulatudes 160 \u00fchikuni, v\u00f5imaldades tuumal suurendada arvutuste paralleelsust. Juba Cortex-A76-l oli suur haru sihtide puhversalv (Branch Target Buffer), kuid Cortex-A77-l on see suurenenud veel 33 %, ulatudes 8 KB-ni, mis tagab haruprognoosimise koostisosade efektiivse tegelemise kasvava paralleelsete k\u00e4skude arvuga.<\/p>\n

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

Veelgi huvitavam uuendus on t\u00e4iesti uus 1,5 KB MOP vahem\u00e4lu, kus hoitakse dekodeerimise moodulist tagastatavaid makrooperatsioone. ARMi protsessori arhitektuur dekodeerib kasutaja rakendustest saadud k\u00e4ske v\u00e4iksemateks makrooperatsioonideks, mis seej\u00e4rel jagatakse mikrooperatsioonideks, mis edastatakse t\u00e4itmis tuumale. MOP vahem\u00e4lu kasutatakse vahelehede ja l\u00e4htestamiste m\u00f5ju v\u00e4hendamiseks, kuna n\u00fc\u00fcd hoitakse makrooperatsioone eraldi plokis ja need ei n\u00f5ua uuesti dekodeerimist \u2014 seel\u00e4bi suureneb tuuma \u00fcldine l\u00e4bilaskev\u00f5ime. Teatud koormuste korral on uus moodul \u00e4\u00e4rmiselt kasulik t\u00e4iendus standardsele k\u00e4su vahem\u00e4lule.<\/p>\n

\"ARM<\/p>\n

\"ARM<\/p>\n

T\u00e4idesaate tuumas on lisatud neljas ALU-plokk ja teine harude t\u00f6\u00f6tlemise plokk. Neljas ALU suurendab protsessori \u00fcldist l\u00e4bilaskev\u00f5imet 1,5 korda, v\u00f5imaldades \u00fchets\u00fckliliste k\u00e4skude (nagu ADD ja SUB) ja kahekordselt t\u00e4isarvutegevuste, nagu korrutamine, t\u00e4itmist. Kaks muud ALU-d saavad t\u00f6\u00f6delda ainult baastase \u00fchets\u00fcklilisi k\u00e4ske, samas kui viimane plokk koormatakse keerukamate matemaatiliste operatsioonidega, nagu jagamine, kogumisega korrutamine jne. Teine harude t\u00f6\u00f6tlemise plokk tuumas kahekordistab samaaegsete harude \u00fcleminekute arvu, millega tuum saab t\u00f6\u00f6tada, mis on kasulik juhtudel, kui kaks kuuest saadetud k\u00e4skudest on seotud harude \u00fcleminekuga. ARM-i sisetestimine n\u00e4itas, et selle teise harude \u00fclemineku ploki kasutamisest on saadud j\u00f5udluse t\u00f5us.<\/p>\n

\"ARM<\/p>\n

\"ARM<\/p>\n

Teiste tuuma muudatuste hulka kuulub teise AES kr\u00fcpteerimis torni lisamine, m\u00e4lu l\u00e4bilaskev\u00f5ime suurendamine, t\u00e4iustatud j\u00e4rgmise p\u00f5lvkonna andmeettev\u00f5tu mehhanism, mis v\u00f5imaldab parandada energiatarbimise efektiivsust ja samal ajal suurendada DRAM s\u00fcsteemi l\u00e4bilaskev\u00f5imet, vahem\u00e4lu t\u00f6\u00f6 optimeerimised jne.<\/p>\n

\"ARM<\/p>\n

\"ARM<\/p>\n

Cortex-A77-s t\u00e4heldatakse k\u00f5ige suuremat t\u00f5usu t\u00e4isarvulistes operatsioonides ja ujuvkomaaride arvutustes. See on kinnitatud ARMi siseste SPEC-testidega, mis n\u00e4itasid j\u00f5udluse suurenemist 20 % ja 35 % vastavalt t\u00e4isarvulistes operatsioonides ja ujuvkomaaride arvutustes. M\u00e4lu l\u00e4bilaskev\u00f5ime parendused j\u00e4\u00e4vad vahemikku 15\u201320 %. Kokkuv\u00f5ttes pakuvad A77 optimeerimised ja muudatused keskmiselt 20-protsendist j\u00f5udluse t\u00f5usu v\u00f5rreldes eelneva p\u00f5lvkonnaga. Uute tehnoloogiliste normidega nagu 7 nm ULV saame l\u00f5ppkiipides veelgi rohkem eeliseid.<\/p>\n

\"ARM<\/p>\n

\"ARM<\/p>\n

ARM on kujundanud Cortex-A77 t\u00f6\u00f6tamiseks 4+4 big.LITTLE s\u00fcsteemis (4 v\u00f5imsat tuuma ja 4 energiat\u00f5husat). Kuid arvestades madala uue arhitektuuri suuruse t\u00f5ttu, v\u00f5ivad paljud tootjad kulude kokkuhoiu t\u00f5ttu tutvustada kombinatsioone 1+3+4 v\u00f5i 2+2+4, mida juba aktiivselt rakendatakse, kus ainult \u00fcks v\u00f5i kaks tuuma on t\u00e4isv\u00f5imsusel Cortex-A77.<\/p>\n

\"ARM<\/p>\n

<\/p>\n

<\/center><\/p>\n

\t\t\t\t


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

ARM \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u0441\u0432\u043e\u0439 \u043d\u043e\u0432\u0435\u0439\u0448\u0438\u0439 \u0434\u0438\u0437\u0430\u0439\u043d \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 — Cortex-A77. \u041a\u0430\u043a \u0438 \u043f\u0440\u043e\u0448\u043b\u043e\u0433\u043e\u0434\u043d\u0438\u0439 Cortex-A76, \u044d\u0442\u043e \u044f\u0434\u0440\u043e \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043e \u0434\u043b\u044f \u0432\u044b\u0441\u043e\u043a\u043e\u043a\u043b\u0430\u0441\u0441\u043d\u044b\u0445 \u0437\u0430\u0434\u0430\u0447 \u0432 \u0441\u043c\u0430\u0440\u0442\u0444\u043e\u043d\u0430\u0445 \u0438 \u0441\u0430\u043c\u044b\u0445 \u0440\u0430\u0437\u043d\u044b\u0445 \u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432\u0430\u0445. \u0412 \u043d\u0451\u043c \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a \u043d\u0430\u0446\u0435\u043b\u0435\u043d \u043d\u0430 \u0443\u0432\u0435\u043b\u0438\u0447\u0435\u043d\u0438\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u0430 \u0438\u0441\u043f\u043e\u043b\u043d\u044f\u0435\u043c\u044b\u0445 \u0437\u0430 \u0442\u0430\u043a\u0442 \u043a\u043e\u043c\u0430\u043d\u0434 (IPC). \u0422\u0430\u043a\u0442\u043e\u0432\u044b\u0435 \u0447\u0430\u0441\u0442\u043e\u0442\u044b \u0438 \u044d\u043d\u0435\u0440\u0433\u043e\u043f\u043e\u0442\u0440\u0435\u0431\u043b\u0435\u043d\u0438\u0435 \u043e\u0441\u0442\u0430\u043b\u0438\u0441\u044c \u043f\u0440\u0438\u043c\u0435\u0440\u043d\u043e \u043d\u0430 \u0443\u0440\u043e\u0432\u043d\u0435 Cortex-A76. \u0412 \u043d\u0430\u0441\u0442\u043e\u044f\u0449\u0435\u0435 \u0432\u0440\u0435\u043c\u044f ARM \u043d\u0430\u0446\u0435\u043b\u0435\u043d\u0430 \u0431\u044b\u0441\u0442\u0440\u043e \u043d\u0430\u0440\u0430\u0449\u0438\u0432\u0430\u0442\u044c \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u0441\u0432\u043e\u0438\u0445 \u044f\u0434\u0435\u0440. […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":26154,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-34705","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\udd47ARM esitles uut v\u00f5imsat protsessori tuuma \u2014 Cortex-A77 | ProHoster","description":"ARM esitles oma uusimat protsessoridisaini - Cortex-A77. Nagu eelmine aasta esitatud Cortex-A76, on see s\u00fcdamik m\u00f5eldud k\u00f5rgekvaliteedilistele \u00fclesannetele nutitelefonides ja erinevates seadmetes.","canonical_url":"https:\/\/prohoster.info\/et\/blog\/news\/arm-predstavila-novoe-moshhnoe-yadro-tsp-cortex-a77","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"et_EE","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47ARM \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u043d\u043e\u0432\u043e\u0435 \u043c\u043e\u0449\u043d\u043e\u0435 \u044f\u0434\u0440\u043e \u0426\u041f \u2014 Cortex-A77 | ProHoster","og:description":"ARM \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u0441\u0432\u043e\u0439 \u043d\u043e\u0432\u0435\u0439\u0448\u0438\u0439 \u0434\u0438\u0437\u0430\u0439\u043d \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u2014 Cortex-A77. \u041a\u0430\u043a \u0438 \u043f\u0440\u043e\u0448\u043b\u043e\u0433\u043e\u0434\u043d\u0438\u0439 Cortex-A76, \u044d\u0442\u043e \u044f\u0434\u0440\u043e \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043e \u0434\u043b\u044f \u0432\u044b\u0441\u043e\u043a\u043e\u043a\u043b\u0430\u0441\u0441\u043d\u044b\u0445 \u0437\u0430\u0434\u0430\u0447 \u0432 \u0441\u043c\u0430\u0440\u0442\u0444\u043e\u043d\u0430\u0445 \u0438 \u0441\u0430\u043c\u044b\u0445 \u0440\u0430\u0437\u043d\u044b\u0445 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