{"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\/hr\/blog\/asic-dlya-mashinnogo-obucheniya-dolzhny-proektirovatsya-avtomaticheski","title":{"rendered":"ASIC za strojnog u\u010denja trebaju se automatski dizajnirati","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Te\u0161ko da \u0107e itko raspravljati o tome da je dizajniranje prilago\u0111enih ASIC-ova daleko od jednostavnog i brzog procesa. Ipak, \u017eelimo i trebamo da to bude br\u017ee: danas je algoritam gotov, a za tjedan dana preuzimamo gotov digitalni projekt. Radi se o tome da su visoko specijalizirani ASIC-ovi jedva da su serijski produkt. Takvi su rijetko potrebni u milijunskim koli\u010dinama, za \u010dije se razvijanje mo\u017ee potro\u0161iti koliko god novca i ljudskih resursa, ako je to potrebno u\u010diniti u najkra\u0107em mogu\u0107em roku. Specijalizirani, a stoga najefikasniji ASIC-ovi za rje\u0161avanje svojih zadataka moraju biti jeftiniji u razvoju, \u0161to postaje izuzetno relevantno u dana\u0161njem razdoblju razvoja strojnog u\u010denja. Na ovom podru\u010dju vi\u0161e se ne mo\u017ee osloniti na iskustvo ste\u010deno na tr\u017ei\u0161tu ra\u010dunala, a posebno na proboje GPU-a u smjeru strojnog u\u010denja (ML).<\/p>\n

\"ASIC<\/p>\n

Za ubrzanje dizajniranja ASIC-ova za ML zadatke, agencija DARPA pokre\u0107e novi program \u2014 Real Time Machine Learning (RTML). Program za strojno u\u010denje u stvarnom vremenu predvi\u0111a razvoj kompajlera ili softverske platforme koja bi mogla automatski dizajnirati arhitekturu \u010dipa za specifi\u010dni ML okvir. Platforma bi trebala automatski analizirati predlo\u017eeni algoritam za strojno u\u010denje i skup podataka za u\u010denje tog algoritma, nakon \u010dega bi na jeziku Verilog trebala generirati kod za stvaranje specijaliziranog ASIC-a. Stru\u010dnjaci za razvoj ML algoritama nemaju znanja dizajnera \u010dipova, a dizajneri rijetko poznaju principe strojnog u\u010denja. Program RTML trebao bi omogu\u0107iti kombiniranje prednosti jednih i drugih u automatiziranoj platformi za razvoj ASIC-ova za strojno u\u010denje.<\/p>\n

Tijekom \u017eivotnog ciklusa programa RTML, prona\u0111ena rje\u0161enja morat \u0107e biti testirana u dva glavna podru\u010dja primjene: rad u 5G mre\u017eama i obrada slika. Program RTML i stvorene softverske platforme za automatizirano projektiranje ML akceleratora tako\u0111er \u0107e se koristiti za razvoj i testiranje novih ML algoritama i skupova podataka. Tako \u0107e se i prije projektiranja 'silicijskih' rje\u0161enja mo\u0107i ocijeniti potencijali novih okvira. Partner DARPA-e u programu RTML bit \u0107e Nacionalna znanstvena fundacija (NSF), koja se tako\u0111er bavi pitanjima strojne obrade i razvoja ML algoritama. Razvijeni kompajler bit \u0107e predan NSF-u, dok DARPA o\u010dekuje da \u0107e primiti kompajler i platformu za projektiranje ML algoritama natrag. U budu\u0107nosti, projektiranje hardvera i izrada algoritama bit \u0107e integrirani pristup, \u0161to \u0107e dovesti do razvoja samou\u010de\u0107ih sustava u stvarnom vremenu.<\/p>\n

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Izvor: 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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