{"id":37370,"date":"2019-10-31T22:17:15","date_gmt":"2019-10-31T19:17:15","guid":{"rendered":"https:\/\/prohoster.info\/blog\/cerebras-protsessor-dlya-ii-neveroyatnyh-razmerov-i-vozmozhnostej\/"},"modified":"2019-10-31T22:17:15","modified_gmt":"2019-10-31T19:17:15","slug":"cerebras-protsessor-dlya-ii-neveroyatnyh-razmerov-i-vozmozhnostej","status":"publish","type":"post","link":"https:\/\/prohoster.info\/it\/blog\/novosti-interneta\/cerebras-protsessor-dlya-ii-neveroyatnyh-razmerov-i-vozmozhnostej","title":{"rendered":"Cerebras \u2015 un processore per AI di dimensioni e capacit\u00e0 incredibili","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Annuncio del processore Cerebras \u2015 Cerebras Wafer Scale Engine (WSE) o motore Cerebras su scala wafer \u2015 <noindex><a rel=\"nofollow noopener noreferrer\" href=\"https:\/\/www.hpcwire.com\/off-the-wire\/cerebras-systems-unveils-the-industrys-first-trillion-transistor-chip\/\" target=\"_blank\">si \u00e8 tenuto<\/a><\/noindex> \u0432 \u0440\u0430\u043c\u043a\u0430\u0445 \u0435\u0436\u0435\u0433\u043e\u0434\u043d\u043e\u0439 \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0438 Hot Chips 31. \u0413\u043b\u044f\u0434\u044f \u043d\u0430 \u044d\u0442\u043e\u0433\u043e \u043a\u0440\u0435\u043c\u043d\u0438\u0435\u0432\u043e\u0433\u043e \u043c\u043e\u043d\u0441\u0442\u0440\u0430 \u0443\u0434\u0438\u0432\u043b\u044f\u0435\u0442 \u0434\u0430\u0436\u0435 \u043d\u0435 \u0442\u043e, \u0447\u0442\u043e \u0435\u0433\u043e \u0441\u043c\u043e\u0433\u043b\u0438 \u0432\u044b\u043f\u0443\u0441\u0442\u0438\u0442\u044c \u0432\u043e \u043f\u043b\u043e\u0442\u0438. \u0423\u0434\u0438\u0432\u043b\u044f\u0435\u0442 \u0441\u043c\u0435\u043b\u043e\u0441\u0442\u044c \u0437\u0430\u043c\u044b\u0441\u043b\u0430 \u0438 \u0442\u0440\u0443\u0434 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u043e\u0432, \u0440\u0438\u0441\u043a\u043d\u0443\u0432\u0448\u0438\u0445 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u043a\u0440\u0438\u0441\u0442\u0430\u043b\u043b \u043f\u043b\u043e\u0449\u0430\u0434\u044c\u044e 46 225 \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u043d\u044b\u0445 \u043c\u0438\u043b\u043b\u0438\u043c\u0435\u0442\u0440\u043e\u0432 \u0441\u043e \u0441\u0442\u043e\u0440\u043e\u043d\u0430\u043c\u0438 21,5 \u0441\u043c. \u041d\u0430 \u0438\u0437\u0433\u043e\u0442\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u043e\u0434\u043d\u043e\u0433\u043e \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0443\u0445\u043e\u0434\u0438\u0442 \u0446\u0435\u043b\u0430\u044f 300-\u043c\u043c \u043f\u043b\u0430\u0441\u0442\u0438\u043d\u0430. \u041f\u0440\u0438 \u043c\u0430\u043b\u0435\u0439\u0448\u0435\u0439 \u043e\u0448\u0438\u0431\u043a\u0435 \u0443\u0440\u043e\u0432\u0435\u043d\u044c \u0431\u0440\u0430\u043a\u0430 \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 100&nbsp;%, \u0430 \u0446\u0435\u043d\u0443 \u0432\u043e\u043f\u0440\u043e\u0441\u0430 \u0434\u0430\u0436\u0435 \u0442\u0440\u0443\u0434\u043d\u043e \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u0442\u044c.<\/p>\n<p><img decoding=\"async\" alt=\"Cerebras \u2015 un processore per AI di dimensioni e capacit\u00e0 incredibili\" src=\"\/wp-content\/uploads\/2019\/08\/6ffb952be34a4dd92530ee09d6669cfb.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>La produzione del Cerebras WSE \u00e8 gestita da TSMC. Il processo tecnologico \u00e8 a 16 nm FinFET. Questo produttore taiwanese ha anche meritato un monumento per la realizzazione del Cerebras. La produzione di un chip di questo tipo ha richiesto abilit\u00e0 superiori e la risoluzione di una miriade di problemi, ma ne \u00e8 valsa la pena, affermano gli sviluppatori. Il chip Cerebras \u00e8 praticamente un supercomputer su un chip, con un'incredibile capacit\u00e0 di elaborazione, un consumo ridotto e un parallelismo fantastico. Attualmente \u00e8 la soluzione ideale per l'apprendimento automatico, permettendo ai ricercatori di affrontare compiti di straordinaria complessit\u00e0.<\/p>\n<p><img decoding=\"async\" alt=\"Cerebras \u2015 un processore per AI di dimensioni e capacit\u00e0 incredibili\" src=\"\/wp-content\/uploads\/2019\/08\/fde91a77742de275758f21476ef1c235.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<\/center><\/p>\n<p>Ogni cristallo di Cerebras WSE contiene 1,2 trilioni di transistor, organizzati in 400.000 unit\u00e0 di calcolo ottimizzate per l'IA e 18 GB di memoria SRAM distribuita locale. Tutto ci\u00f2 \u00e8 collegato tramite una rete a celle con una potenza complessiva di 100 petabit al secondo. La larghezza di banda della memoria raggiunge i 9 PB\/s. La gerarchia di memoria \u00e8 a livello singolo. Non ci sono cache, sovrapposizioni e i tempi di accesso sono minimi. Questa \u00e8 l'architettura ideale per accelerare i compiti legati all'IA. Numeri a confronto: rispetto ai pi\u00f9 avanzati nuclei grafici, il chip Cerebras offre 3000 volte pi\u00f9 memoria sul cristallo e una velocit\u00e0 di scambio con la memoria 10.000 volte superiore.<\/p>\n<p><img decoding=\"async\" alt=\"Cerebras \u2015 un processore per AI di dimensioni e capacit\u00e0 incredibili\" src=\"\/wp-content\/uploads\/2019\/08\/89c6335e48881e16e75490f10be0db7f.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>I nuclei di calcolo Cerebras \u2015 SLAC (Sparse Linear Algebra Cores) \u2015 sono completamente programmabili e possono essere ottimizzati per lavorare con qualsiasi rete neurale. Inoltre, l'architettura dei nuclei filtra inizialmente i dati rappresentati da zeri. Questo libera le risorse di calcolo dalla necessit\u00e0 di eseguire operazioni di moltiplicazione per zero, il che significa che per i carichi di dati sparsi si ottiene un'accelerazione nei calcoli e un'efficienza energetica senza precedenti. Pertanto, il processore Cerebras risulta essere centinaia o addirittura migliaia di volte pi\u00f9 efficace per l'apprendimento automatico in termini di superficie del cristallo utilizzata e consumo energetico, rispetto alle attuali soluzioni per IA e apprendimento automatico.<\/p>\n<p><img decoding=\"async\" alt=\"Cerebras \u2015 un processore per AI di dimensioni e capacit\u00e0 incredibili\" src=\"\/wp-content\/uploads\/2019\/08\/d95c3563c08f57a8e1f6900e5748848a.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>La produzione di un chip di tale dimensione <noindex><a rel=\"nofollow noopener noreferrer\" href=\"https:\/\/www.anandtech.com\/show\/14758\/hot-chips-31-live-blogs-cerebras-wafer-scale-deep-learning\" target=\"_blank\">ha richiesto<\/a><\/noindex> una quantit\u00e0 enorme di soluzioni uniche. \u00c8 stato persino necessario confezionarlo a mano. Sono emersi problemi con l'alimentazione del cristallo e il suo raffreddamento. L'espulsione del calore \u00e8 stata possibile solo grazie a un liquido e solo con l'organizzazione di un'adeguata alimentazione zonale con circolazione verticale. Tuttavia, tutti i problemi sono stati risolti e il chip \u00e8 entrato in produzione. Sar\u00e0 interessante scoprire il suo impiego pratico.<\/p>\n<p><img decoding=\"async\" alt=\"Cerebras \u2015 un processore per AI di dimensioni e capacit\u00e0 incredibili\" src=\"\/wp-content\/uploads\/2019\/08\/8bcb96e6b8e055f25bc93c6d4c22c5b4.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/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 \/>Fonte: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/3dnews.ru\/992698\">3dnews.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0410\u043d\u043e\u043d\u0441 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 Cerebras \u2015 Cerebras Wafer Scale Engine (WSE) \u0438\u043b\u0438 \u0434\u0432\u0438\u0436\u043a\u0430 Cerebras \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0430 \u043a\u0440\u0435\u043c\u043d\u0438\u0435\u0432\u043e\u0439 \u043f\u043b\u0430\u0441\u0442\u0438\u043d\u044b \u2015 \u0441\u043e\u0441\u0442\u043e\u044f\u043b\u0441\u044f \u0432 \u0440\u0430\u043c\u043a\u0430\u0445 \u0435\u0436\u0435\u0433\u043e\u0434\u043d\u043e\u0439 \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0438 Hot Chips 31. \u0413\u043b\u044f\u0434\u044f \u043d\u0430 \u044d\u0442\u043e\u0433\u043e \u043a\u0440\u0435\u043c\u043d\u0438\u0435\u0432\u043e\u0433\u043e \u043c\u043e\u043d\u0441\u0442\u0440\u0430 \u0443\u0434\u0438\u0432\u043b\u044f\u0435\u0442 \u0434\u0430\u0436\u0435 \u043d\u0435 \u0442\u043e, \u0447\u0442\u043e \u0435\u0433\u043e \u0441\u043c\u043e\u0433\u043b\u0438 \u0432\u044b\u043f\u0443\u0441\u0442\u0438\u0442\u044c \u0432\u043e \u043f\u043b\u043e\u0442\u0438. \u0423\u0434\u0438\u0432\u043b\u044f\u0435\u0442 \u0441\u043c\u0435\u043b\u043e\u0441\u0442\u044c \u0437\u0430\u043c\u044b\u0441\u043b\u0430 \u0438 \u0442\u0440\u0443\u0434 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u043e\u0432, \u0440\u0438\u0441\u043a\u043d\u0443\u0432\u0448\u0438\u0445 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u043a\u0440\u0438\u0441\u0442\u0430\u043b\u043b \u043f\u043b\u043e\u0449\u0430\u0434\u044c\u044e 46 225 \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u043d\u044b\u0445 \u043c\u0438\u043b\u043b\u0438\u043c\u0435\u0442\u0440\u043e\u0432 \u0441\u043e \u0441\u0442\u043e\u0440\u043e\u043d\u0430\u043c\u0438 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":28035,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-37370","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" 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capacit\u00e0 incredibili | ProHoster","description":"L'annuncio del processore Cerebras \u2015 Cerebras Wafer Scale Engine (WSE) o del motore Cerebras a scala wafer \u2015 \u00e8 avvenuto durante la conferenza annuale Hot Chips 31. Guardando questo mostro di silicio, sorprende non solo il fatto che sia stato realizzato. 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