{"id":36868,"date":"2019-10-31T22:14:23","date_gmt":"2019-10-31T19:14:23","guid":{"rendered":"https:\/\/prohoster.info\/blog\/arm-predstavila-vtoroe-v-svoyom-rode-isklyuchitelno-64-bitnoe-yadro-cortex-a34\/"},"modified":"2019-10-31T22:14:23","modified_gmt":"2019-10-31T19:14:23","slug":"arm-predstavila-vtoroe-v-svoyom-rode-isklyuchitelno-64-bitnoe-yadro-cortex-a34","status":"publish","type":"post","link":"https:\/\/prohoster.info\/pl\/blog\/news\/arm-predstavila-vtoroe-v-svoyom-rode-isklyuchitelno-64-bitnoe-yadro-cortex-a34","title":{"rendered":"ARM zaprezentowa\u0142 drugie w swoim rodzaju wy\u0142\u0105cznie 64-bitowe rdzenie Cortex-A34","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>W 2015 roku ARM zaprezentowa\u0142a energooszcz\u0119dne rdzenie 64\/32-bitowe <noindex><a rel=\"nofollow\" href=\"https:\/\/3dnews.ru\/923362\">Cortex-A35<\/a><\/noindex> dla heterogenicznej architektury big.LITTLE, a w 2016 roku wyda\u0142a rdze\u0144 32-bitowy <noindex><a rel=\"nofollow\" href=\"https:\/\/3dnews.ru\/928866\">Cortex-A32<\/a><\/noindex> dla elektroniki noszonej.<\/p>\n<p><img decoding=\"async\" alt=\"ARM zaprezentowa\u0142 drugie w swoim rodzaju wy\u0142\u0105cznie 64-bitowe rdzenie Cortex-A34\" src=\"\/wp-content\/uploads\/2019\/08\/c473fc3aba79b3889afbe6758139bde6.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>A teraz, nie przyci\u0105gaj\u0105c uwagi, firma zaprezentowa\u0142a rdze\u0144 64-bitowy Cortex-A34. Produkt ten oferowany jest w ramach programu Flexible Access, kt\u00f3ry otwiera dost\u0119p dla deweloper\u00f3w uk\u0142ad\u00f3w scalonych do szerokiego zestawu w\u0142asno\u015bci intelektualnej, pozwalaj\u0105c p\u0142aci\u0107 tylko za te bloki, kt\u00f3re b\u0119d\u0105 u\u017cyte w ko\u0144cowym produkcie.<\/p>\n<p>To jedyny procesor Cortex, obok Cortex-A65, kt\u00f3ry obs\u0142uguje jedynie instrukcje 64-bitowe i nie jest kompatybilny z kodem 32-bitowym. Cortex-A34 bazuje na architekturze ARMv8-A, posiada 8-stopniowy potok, wspiera symetryczne przetwarzanie wieloprocesorowe (SMP) z po\u0142\u0105czeniem do 4 rdzeni w jednym klastrze oraz kilka nast\u0119puj\u0105cych klastr\u00f3w procesor\u00f3w SMP, po\u0142\u0105czonych przez szyn\u0119 AMBA 4. Pojemno\u015b\u0107 rozproszonej pami\u0119ci podr\u0119cznej drugiego poziomu mo\u017ce osi\u0105gn\u0105\u0107 1 MB, w tym z korekcj\u0105 b\u0142\u0119d\u00f3w ECC.<\/p>\n<p><img decoding=\"async\" alt=\"ARM zaprezentowa\u0142 drugie w swoim rodzaju wy\u0142\u0105cznie 64-bitowe rdzenie Cortex-A34\" src=\"\/wp-content\/uploads\/2019\/08\/eb32e728b17c17303c77001cb9079df3.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>Obs\u0142uguje technologi\u0119 bezpiecze\u0144stwa TrustZone, wirtualizacj\u0119 sprz\u0119tow\u0105, rozszerzenia DSP, SIMD (NEON) oraz niskokosztowe obliczenia zmiennoprzecinkowe VFPv4, a tak\u017ce kompleksow\u0105 bibliotek\u0119 komponent\u00f3w do funkcji debugowania i \u015bledzenia w systemie CoreSight SoC-400.<\/p>\n<p><center><\/center><br \/>\n<img decoding=\"async\" alt=\"ARM zaprezentowa\u0142 drugie w swoim rodzaju wy\u0142\u0105cznie 64-bitowe rdzenie Cortex-A34\" src=\"\/wp-content\/uploads\/2019\/08\/bd75092fa3991d75f6fa89f76cead901.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>ARM wskazuje, \u017ce Cortex-A34 b\u0119dzie wykorzystywany w r\u00f3\u017cnych aplikacjach, w tym w urz\u0105dzeniach przemys\u0142owych, elektronice dla \u201einteligentnego domu\u201d, ochronie zdrowia i obliczeniach w chmurze. Na pewno rezygnacja z instrukcji 32-bitowych pozwoli obni\u017cy\u0107 koszty finalnego uk\u0142adu.<\/p>\n<p><center><\/p>\n<p><\/center><\/p>\n<p>\t\t\t\t<center><br \/>\n\t\t\t\t\t\t\t\t<\/center><br \/>\u0179r\u00f3d\u0142o: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/3dnews.ru\/991795\">3dnews.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0412 2015 \u0433\u043e\u0434\u0443 ARM \u043f\u0440\u0435\u0437\u0435\u043d\u0442\u043e\u0432\u0430\u043b\u0430 \u044d\u043d\u0435\u0440\u0433\u043e\u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e\u0435 64\/32-\u0431\u0438\u0442\u043d\u043e\u0435 \u044f\u0434\u0440\u043e Cortex-A35 \u0434\u043b\u044f \u0433\u0435\u0442\u0435\u0440\u043e\u0433\u0435\u043d\u043d\u043e\u0439 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b big.LITTLE, \u0430 \u0432 2016-\u043c \u0432\u044b\u043f\u0443\u0441\u0442\u0438\u043b\u0430 32-\u0431\u0438\u0442\u043d\u043e\u0435 \u044f\u0434\u0440\u043e Cortex-A32 \u0434\u043b\u044f \u043d\u043e\u0441\u0438\u043c\u043e\u0439 \u044d\u043b\u0435\u043a\u0442\u0440\u043e\u043d\u0438\u043a\u0438. \u0410 \u0442\u0435\u043f\u0435\u0440\u044c, \u043d\u0435 \u043f\u0440\u0438\u0432\u043b\u0435\u043a\u0430\u044f \u043e\u0441\u043e\u0431\u043e\u0433\u043e \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u044f, \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u044f \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 64-\u0431\u0438\u0442\u043d\u043e\u0435 \u044f\u0434\u0440\u043e Cortex\u2011A34. \u042d\u0442\u043e\u0442 \u043f\u0440\u043e\u0434\u0443\u043a\u0442 \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u0442\u0441\u044f \u0432 \u0440\u0430\u043c\u043a\u0430\u0445 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u044b Flexible Access, \u043e\u0442\u043a\u0440\u044b\u0432\u0430\u044e\u0449\u0435\u0439 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u0430\u043c \u0438\u043d\u0442\u0435\u0433\u0440\u0430\u043b\u044c\u043d\u044b\u0445 \u0441\u0445\u0435\u043c \u0434\u043e\u0441\u0442\u0443\u043f \u0448\u0438\u0440\u043e\u043a\u043e\u043c\u0443 \u043d\u0430\u0431\u043e\u0440\u0443 \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u043e\u0431\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0441\u0442\u0438 \u0441 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c\u044e \u043e\u043f\u043b\u0430\u0447\u0438\u0432\u0430\u0442\u044c \u0442\u043e\u043b\u044c\u043a\u043e [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":27622,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-36868","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.1.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0412 2015 \u0433\u043e\u0434\u0443 ARM \u043f\u0440\u0435\u0437\u0435\u043d\u0442\u043e\u0432\u0430\u043b\u0430 \u044d\u043d\u0435\u0440\u0433\u043e\u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e\u0435 64\/32-\u0431\u0438\u0442\u043d\u043e\u0435 \u044f\u0434\u0440\u043e Cortex-A35 \u0434\u043b\u044f \u0433\u0435\u0442\u0435\u0440\u043e\u0433\u0435\u043d\u043d\u043e\u0439 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b big.LITTLE, 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