{"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\/fr\/blog\/news\/arm-predstavila-vtoroe-v-svoyom-rode-isklyuchitelno-64-bitnoe-yadro-cortex-a34","title":{"rendered":"ARM a pr\u00e9sent\u00e9 son deuxi\u00e8me noyau 64 bits, le Cortex-A34, exceptionnel en son genre.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>En 2015, ARM a lanc\u00e9 un noyau 64\/32 bits \u00e9co\u00e9nerg\u00e9tique. <noindex><a rel=\"nofollow\" href=\"https:\/\/3dnews.ru\/923362\">Cortex-A35<\/a><\/noindex> pour une architecture h\u00e9t\u00e9rog\u00e8ne big.LITTLE, et en 2016, un noyau 32 bits a \u00e9t\u00e9 lanc\u00e9. <noindex><a rel=\"nofollow\" href=\"https:\/\/3dnews.ru\/928866\">Cortex-A32<\/a><\/noindex> pour les appareils portables.<\/p>\n<p><img decoding=\"async\" alt=\"ARM a pr\u00e9sent\u00e9 son deuxi\u00e8me noyau 64 bits, le Cortex-A34, exceptionnel en son genre.\" src=\"\/wp-content\/uploads\/2019\/08\/c473fc3aba79b3889afbe6758139bde6.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>Et maintenant, sans attirer beaucoup d'attention, l'entreprise a pr\u00e9sent\u00e9 le noyau 64 bits Cortex-A34. Ce produit est propos\u00e9 dans le cadre du programme Flexible Access, qui offre aux d\u00e9veloppeurs de circuits int\u00e9gr\u00e9s un acc\u00e8s \u00e0 un large \u00e9ventail de propri\u00e9t\u00e9 intellectuelle, avec la possibilit\u00e9 de payer uniquement pour les blocs qui seront utilis\u00e9s dans le produit final.<\/p>\n<p>C'est le seul processeur Cortex, avec le Cortex-A65, qui ne prend en charge que les instructions 64 bits et est incompatible avec le code 32 bits. Le Cortex-A34 est bas\u00e9 sur l'architecture ARMv8-A, poss\u00e8de un pipeline \u00e0 8 \u00e9tages, prend en charge la multiprocesseur sym\u00e9trique (SMP) jusqu'\u00e0 4 c\u0153urs dans un seul cluster, et plusieurs clusters de processeurs SMP interconnect\u00e9s par un bus AMBA 4. La taille du cache de deuxi\u00e8me niveau distribu\u00e9 peut atteindre 1 Mo, avec correction d'erreurs ECC.<\/p>\n<p><img decoding=\"async\" alt=\"ARM a pr\u00e9sent\u00e9 son deuxi\u00e8me noyau 64 bits, le Cortex-A34, exceptionnel en son genre.\" src=\"\/wp-content\/uploads\/2019\/08\/eb32e728b17c17303c77001cb9079df3.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>Il prend en charge la technologie de s\u00e9curit\u00e9 TrustZone, la virtualisation mat\u00e9rielle, les extensions DSP, SIMD (NEON) et des calculs \u00e0 faible co\u00fbt en virgule flottante VFPv4, ainsi qu'une biblioth\u00e8que compl\u00e8te de composants pour les fonctions de d\u00e9bogage et la tra\u00e7abilit\u00e9 dans le syst\u00e8me CoreSight SoC-400.<\/p>\n<p><center><\/center><br \/>\n<img decoding=\"async\" alt=\"ARM a pr\u00e9sent\u00e9 son deuxi\u00e8me noyau 64 bits, le Cortex-A34, exceptionnel en son genre.\" src=\"\/wp-content\/uploads\/2019\/08\/bd75092fa3991d75f6fa89f76cead901.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>ARM indique que le Cortex-A34 sera utilis\u00e9 dans diverses applications, y compris les dispositifs industriels, l'\u00e9lectronique pour la \u00ab maison intelligente \u00bb, la sant\u00e9 et l'informatique en nuage. L'abandon des instructions 32 bits permettra sans aucun doute de r\u00e9duire le co\u00fbt de la puce finale.<\/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 \/>Source : <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 5.0.2.1 - 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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