{"id":30179,"date":"2019-10-31T21:34:00","date_gmt":"2019-10-31T18:34:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/asic-dlya-mashinnogo-obucheniya-dolzhny-proektirovatsya-avtomaticheski\/"},"modified":"2019-10-31T21:34:00","modified_gmt":"2019-10-31T18:34:00","slug":"asic-dlya-mashinnogo-obucheniya-dolzhny-proektirovatsya-avtomaticheski","status":"publish","type":"post","link":"https:\/\/prohoster.info\/et\/blog\/asic-dlya-mashinnogo-obucheniya-dolzhny-proektirovatsya-avtomaticheski","title":{"rendered":"Masin\u00f5ppe ASIC'id peavad olema automaatselt projekteeritud","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Vaevalt, et keegi vaidleb vastu, et eritellimusel valmistatud ASICide projekteerimine ei ole sugugi lihtne ega kiire protsess. Sooviks, et see v\u00f5iks olla kiirem: t\u00e4na andsin algoritmi, ja n\u00e4dala p\u00e4rast sain valmis digitaalprojekti. Probleem on selles, et \u00fclikohandatud ASIC'id on peaaegu nagu unikaalsed tooted. Neid vajatakse harva miljonites kogustes, mille arendamiseks v\u00f5ib kulutada l\u00f5pmatult raha ja inimressursse, kui seda tuleb teha l\u00fchikese aja jooksul. Spetsialiseeritud ja seega \u00fclesannete lahendamiseks k\u00f5ige t\u00f5husamad ASIC\u2019id peavad olema odavamad, mis on t\u00e4nap\u00e4eva masin\u00f5ppe arengu hetkede juures \u00fcha p\u00e4evakohasem. Sel rindel ei saa \u00fcldse ilma arvutiturult ja eriti GPU edusammudest masin\u00f5ppes (ML) saadud teadmisteta.<\/p>\n

\"Masin\u00f5ppe<\/p>\n

ASIC-i disainimise kiirendamiseks ML \u00fclesannete jaoks asutab DARPA uue programmi - Reaalajas Masin\u00f5pe (RTML). Reaalajas masin\u00f5ppe programm h\u00f5lmab kompilaatori v\u00f5i tarkvaraplatformi arendamist, mis suudab automaatselt kujundada kiibi arhitektuuri spetsiifilisele ML-raamistikule. Platvorm peab automaatselt anal\u00fc\u00fcsima esitatud masin\u00f5ppe algoritmi ja treeningandmeid nendele andmetele, mille j\u00e4rel peab see Verilogi keeles genereerima koodi spetsialiseeritud ASIC-i loomiseks. Masin\u00f5ppe algoritmide arendajad ei oma kiibi projekteerimise teadmisi, samas kui projekteerijad tunnevad harva masin\u00f5ppe p\u00f5him\u00f5tteid. RTML programm peab soodustama nende kahe eeliste \u00fchendamist automaatse ASIC-i arendamise platvormil masin\u00f5ppe jaoks.<\/p>\n

Programmi RTML t\u00f6\u00f6perioodi jooksul leitud lahendused peavad olema testitud kahes peamises rakendusvaldkonnas: 5G v\u00f5rkudes toimimine ja pildit\u00f6\u00f6tlus. Samuti kasutatakse programmi RTML ja loodud automaatse ML kiirendite projekteerimise tarkvaraplatvorme uute ML algoritmide ja andmekogude arendamiseks ning testimiseks. Seega on v\u00f5imalik hinnata uute raamistikude perspektiive juba enne \u201epooljuhtide\u201c projekteerimist. DARPA partneriks RTML programmis on Rahvuslik Teadusfond (NSF), mis tegeleb samuti masin\u00f5ppe probleemide ja ML algoritmide arendamisega. Arendatud kompilaator antakse NSF-ile, samas loodab DARPA saada tagasi kompilaatori ja ML algoritmide projekteerimise platvormi. Edasi liikudes muutuvad riistvara projekteerimine ja algoritmide loomine keerukaks lahenduseks, mis toob kaasa reaalajas iseseisvalt \u00f5ppivate masins\u00fcsteemide tekkimise.<\/p>\n

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

\u0412\u0440\u044f\u0434 \u043b\u0438 \u043a\u0442\u043e-\u0442\u043e \u0431\u0443\u0434\u0435\u0442 \u0441\u043f\u043e\u0440\u0438\u0442\u044c \u0441 \u0442\u0435\u043c, \u0447\u0442\u043e \u043f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0437\u0430\u043a\u0430\u0437\u043d\u044b\u0445 \u0411\u0418\u0421 (ASIC) \u2015 \u044d\u0442\u043e \u0434\u0430\u043b\u0435\u043a\u043e \u043d\u0435 \u043f\u0440\u043e\u0441\u0442\u043e\u0439 \u0438 \u043d\u0435 \u0431\u044b\u0441\u0442\u0440\u044b\u0439 \u043f\u0440\u043e\u0446\u0435\u0441\u0441. \u0410 \u0432\u0435\u0434\u044c \u0445\u043e\u0447\u0435\u0442\u0441\u044f \u0438 \u043d\u0443\u0436\u043d\u043e, \u0447\u0442\u043e\u0431\u044b \u0431\u044b\u043b\u043e \u0431\u044b\u0441\u0442\u0440\u0435\u0435: \u0441\u0435\u0433\u043e\u0434\u043d\u044f \u0432\u044b\u0434\u0430\u043b \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c, \u0430 \u0447\u0435\u0440\u0435\u0437 \u043d\u0435\u0434\u0435\u043b\u044e \u0437\u0430\u0431\u0440\u0430\u043b \u0433\u043e\u0442\u043e\u0432\u044b\u0439 \u0446\u0438\u0444\u0440\u043e\u0432\u043e\u0439 \u043f\u0440\u043e\u0435\u043a\u0442. \u0414\u0435\u043b\u043e \u0432\u0435\u0434\u044c \u0432 \u0442\u043e\u043c, \u0447\u0442\u043e \u0441\u0432\u0435\u0440\u0445\u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0435 \u0411\u0418\u0421 \u2015 \u044d\u0442\u043e \u0435\u0434\u0432\u0430 \u043b\u0438 \u043d\u0435 \u0448\u0442\u0443\u0447\u043d\u044b\u0439 \u043f\u0440\u043e\u0434\u0443\u043a\u0442. \u0422\u0430\u043a\u0438\u0435 \u0440\u0435\u0434\u043a\u043e […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-30179","post","type-post","status-publish","format-standard","hentry"],"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\udd47Masin\u00f5ppe ASIC-id peavad olema automaatselt projekteeritud | ProHoster","description":"Veida, et keegi ei vaidle vastu, et kohandatud BSI (ASIC) projekteerimine ei ole sugugi lihtne ega kiire protsess. Ja soovib, et see oleks kiirem: t\u00e4na anti algoritm ja n\u00e4dala p\u00e4rast on valmis digitaalselt projekteeritud lahendus. Asi on selles, et \u00fclikohandatud BSI-d on haruldase kvaliteediga tooted. Selliseid esemeid leiab harva.","canonical_url":"https:\/\/prohoster.info\/et\/blog\/asic-dlya-mashinnogo-obucheniya-dolzhny-proektirovatsya-avtomaticheski","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\udd47ASIC \u0434\u043b\u044f \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0434\u043e\u043b\u0436\u043d\u044b \u043f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438 | ProHoster","og:description":"\u0412\u0440\u044f\u0434 \u043b\u0438 \u043a\u0442\u043e-\u0442\u043e \u0431\u0443\u0434\u0435\u0442 \u0441\u043f\u043e\u0440\u0438\u0442\u044c \u0441 \u0442\u0435\u043c, \u0447\u0442\u043e \u043f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0437\u0430\u043a\u0430\u0437\u043d\u044b\u0445 \u0411\u0418\u0421 (ASIC) \u2015 \u044d\u0442\u043e \u0434\u0430\u043b\u0435\u043a\u043e \u043d\u0435 \u043f\u0440\u043e\u0441\u0442\u043e\u0439 \u0438 \u043d\u0435 \u0431\u044b\u0441\u0442\u0440\u044b\u0439 \u043f\u0440\u043e\u0446\u0435\u0441\u0441. \u0410 \u0432\u0435\u0434\u044c \u0445\u043e\u0447\u0435\u0442\u0441\u044f \u0438 \u043d\u0443\u0436\u043d\u043e, \u0447\u0442\u043e\u0431\u044b \u0431\u044b\u043b\u043e \u0431\u044b\u0441\u0442\u0440\u0435\u0435: \u0441\u0435\u0433\u043e\u0434\u043d\u044f \u0432\u044b\u0434\u0430\u043b \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c, \u0430 \u0447\u0435\u0440\u0435\u0437 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