{"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":"

Vae kindlasti ei vaielda selle \u00fcle, et tellimuste j\u00e4rgi loodud BISA (ASIC) projekteerimine on kaugel lihtsast ja kiirusest. Sellegipoolest soovitakse ja on vajalik, et see oleks kiirem: t\u00e4na esitatakse algoritm ja n\u00e4dala p\u00e4rast saab valmis digitaalse projekti. K\u00fcsimus on selles, et \u00fclimalt spetsialiseeritud BISA-d on peaaegu k\u00e4sit\u00f6\u00f6toode. Selliseid ei vajata harva miljonites kogustes, mille arendamiseks v\u00f5ib kulutada nii palju raha ja inimressursse, kui seda on vaja teha l\u00fchikese aja jooksul. Spetsialiseeritud, seet\u00f5ttu efektiivsemad oma \u00fclesannete t\u00e4itmiseks, ASICid peaksid olema arenduses odavamad, mis on t\u00e4nap\u00e4eva masin\u00f5ppe arengu kontekstis \u00e4\u00e4rmiselt aktuaalne. Sellel rindel ei saa piirduda ainult arvutiturult saadud teadmistega ja eelk\u00f5ige GPU l\u00e4bimurretega masin\u00f5ppe (ML) valdkonnas.<\/p>\n

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

ASICide projekteerimise kiirendamiseks ML-\u00fclesannete jaoks asutab DARPA uus programm \u2013 Reaalajas Masin\u00f5pe (RTML). Reaalajas masin\u00f5ppe programm h\u00f5lmab kompilatori v\u00f5i tarkvaraplatvormi arendamist, mis suudaks automaatselt projekteerida chipi arhitektuuri konkreetse ML-raamistikuga. Platvorm peaks automaatselt anal\u00fc\u00fcsima esitatud masin\u00f5ppe algoritmi ja selle algoritmi koolitamiseks vajalikku andmekogumit, p\u00e4rast mida peaks ta Verilog keeles v\u00e4lja andma koodi spetsialiseeritud ASICi loomiseks. Masin\u00f5ppe algoritmide arendajad ei oma teadmisi chipide projekteerijatest, samas kui projekteerijad on harva tuttavad masin\u00f5ppe p\u00f5him\u00f5tetega. RTML programm peaks soodustama, et \u00fche ja teise eelised oleksid \u00fchendatud automatiseeritud ASICide arendusplatvormi kaudu masin\u00f5ppe tarbeks.<\/p>\n

RTML programmi eluts\u00fckli jooksul leitud lahendused peavad olema kontrollitud kahes peamises rakendusvaldkonnas: 5G v\u00f5rkudes t\u00f6\u00f6tamine ja piltide t\u00f6\u00f6tlemine. RTML programm ja loodud automaatse ML kiirendite disaini tarkvaraplatvormid saavad olema kasutusel uute ML algoritmide ja andmekogude arendamiseks ja testimiseks. Nii saab juba enne \"siliconi\" projekteerimist hinnata uute raamistikude v\u00f5imalusi. DARPA programmis RTML partneriks on Rahvuslik Teadusfond (NSF), kes tegeleb samuti masin\u00f5ppe probleemidega ja ML algoritmide arendamisega. Arendatud kompilaator antakse NSF-ile, samas kui DARPA loodab saada tagastuseks kompilaatori ja ML algoritmide disaini platvormi. Edaspidi toimub riistvara projekteerimine ja algoritmide loomine koos, mis viib reaalajas enesetegevate masins\u00fcsteemide tekkimiseni.<\/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 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