{"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\/da\/blog\/news\/cerebras-protsessor-dlya-ii-neveroyatnyh-razmerov-i-vozmozhnostej","title":{"rendered":"Cerebras - en processor til AI af utrolige st\u00f8rrelser og muligheder","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Annoncering af Cerebras-processoren - Cerebras Wafer Scale Engine (WSE) eller Cerebras siliciumplade-motor - tog sted<\/a><\/noindex> Under den \u00e5rlige konference Hot Chips 31 er det ikke kun imponerende, at denne siliciumssceller kunne realiseres. Det, der virkelig overrasker, er modet bag konceptet og de udvikleres h\u00e5rde arbejde, der turde designe en chip med et areal p\u00e5 46.225 kvadratmillimeter og sider p\u00e5 21,5 cm. Fremstillingen af \u00e9n processor kr\u00e6ver et helt 300 mm wafer. Ved den mindste fejl er fejlprocenten 100 %, og prisen for projektet er n\u00e6sten umulig at forestille sig.<\/p>\n

\"Cerebras<\/p>\n

Produktionen af Cerebras WSE udf\u00f8res af TSMC. Teknologi-processen er 16 nm FinFET. Denne taiwanesiske producent har ogs\u00e5 fortjent et monument for at producere Cerebras. Produktion af en s\u00e5dan chip kr\u00e6vede h\u00f8jeste h\u00e5ndv\u00e6rk og l\u00f8sning af mange problemer, men det var det v\u00e6rd, mener udviklerne. Cerebras-chippen er i praksis en supercomputer p\u00e5 en chip med utrolig b\u00e5ndbredde, minimalt forbrug og fantastisk parallelitet. I \u00f8jeblikket er det den perfekte l\u00f8sning til maskinl\u00e6ring, som vil give forskere mulighed for at begynde at l\u00f8se ekstremt komplekse opgaver.<\/p>\n

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

Hver Cerebras WSE-chip indeholder 1,2 billioner transistorer organiseret i 400.000 AI-optimerede beregningskerner og 18 GB lokal distribueret SRAM-hukommelse. Alt dette er forbundet i et gitternetv\u00e6rk med en samlet ydeevne p\u00e5 100 petabit pr. sekund. Hukommelsesb\u00e5ndbredden n\u00e5r op p\u00e5 9 PB\/s. Hierarkiet af hukommelse er flad. Der er ingen cache, ingen overlapning, og adgangsforsinkelserne er minimale. Dette er den ideelle arkitektur til acceleration af AI-relaterede opgaver. Bare tal: sammenlignet med de mest moderne grafiske kerner giver Cerebras-chippen 3000 gange st\u00f8rre hukommelse p\u00e5 chippen og 10.000 gange hurtigere dataudveksling med hukommelsen.<\/p>\n

\"Cerebras<\/p>\n

Cerebras' compute cores \u2014 SLAC (Sparse Linear Algebra Cores) \u2014 er fuldt programmerbare og kan optimeres til at arbejde med enhver form for neurale netv\u00e6rk. Desuden filtrerer arkitekturen af kernerne oprindeligt data pr\u00e6senteret som nuller. Dette frig\u00f8r beregningsressourcer fra at skulle udf\u00f8re un\u00f8dvendige multiplikationer med nul, hvilket betyder hurtigere beregninger og maksimal energieffektivitet for opgaver med sparsomme data. Dermed bliver Cerebras-processoren hundrede eller endda tusinde gange mere effektiv til maskinl\u00e6ring med hensyn til den anvendte areal p\u00e5 krystallen og dets energiforbrug sammenlignet med eksisterende AI- og maskinl\u00e6ringsl\u00f8sninger.<\/p>\n

\"Cerebras<\/p>\n

Fremstillingen af en chip i denne st\u00f8rrelse kr\u00e6vede<\/a><\/noindex> en masse unikke l\u00f8sninger. Den skulle n\u00e6sten pakkes manuelt. Der opstod problemer med at f\u00f8re str\u00f8m til krystallen og med k\u00f8lingen af det. Varmeafledningen kunne kun ske gennem v\u00e6ske og kun ved at organisere zoneret tilf\u00f8rsel med vertikal cirkulation. Alligevel blev alle problemer l\u00f8st, og chippen blev operationel. Det vil v\u00e6re interessant at se dens praktiske anvendelse.<\/p>\n

\"Cerebras<\/p>\n

<\/p>\n

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

\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 […]<\/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-news"],"aioseo_notices":[],"aioseo_head":"\n\t\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\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Cerebras \u2014 en processor til AI med utrolige st\u00f8rrelser og muligheder | ProHoster","description":"Annoncering af Cerebras-processoren - 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