Spolo\u010dnos\u0165 NVIDIA ozn\u00e1mila v\u00fdvoj n\u00e1stroja CUDA Rust, ktor\u00fd umo\u017e\u0148uje pou\u017e\u00edva\u0165 jazyk Rust na v\u00fdvoj jadier vykon\u00e1van\u00fdch na strane GPU. N\u00e1stroj zabezpe\u010duje bezpe\u010dnos\u0165 pr\u00e1ce s pam\u00e4\u0165ou v \u010dase kompil\u00e1cie a zabra\u0148uje vzniku podmienkov\u00fdch pretekov. V bud\u00facom roku pl\u00e1nuj\u00fa CUDA Rust uvies\u0165 na \u00farove\u0148 vhodn\u00fa na v\u00fdvoj pracovn\u00fdch projektov, podobne ako n\u00e1stroje CUDA C++ a CUDA Python. <\/p>\n
N\u00e1stroj CUDA Rust podporuje dva modely v\u00fdvoja paralelne vykon\u00e1van\u00fdch jadier \u2014 SIMT (Single Instruction, Multiple Threads) a Tile. Model SIMT umo\u017e\u0148uje na n\u00edzkej \u00farovni definova\u0165 logiku jedn\u00e9ho vl\u00e1kna, sp\u00fa\u0161\u0165a\u0165 tis\u00edce tak\u00fdchto vl\u00e1kien a spravova\u0165 ich. Model Tile pon\u00faka vy\u0161\u0161iu \u00farove\u0148 abstrakcie, v ktorej namiesto explicitn\u00e9ho spravovania jednotliv\u00fdch vl\u00e1kien s\u00fa definovan\u00e9 algoritmy na spracovanie blokov d\u00e1t (tile), pri\u010dom v\u0161etky manipul\u00e1cie s vl\u00e1knami, synchroniz\u00e1ciu pr\u00edstupu, spr\u00e1vu pam\u00e4te a rozdelenie d\u00e1t medzi tensorov\u00fdmi jadrami zabezpe\u010duje kompil\u00e1tor Tile IR. <\/p>\n
Na v\u00fdvoj v jazyku Rust s vyu\u017eit\u00edm modelu SIMT sa vyv\u00edja kompil\u00e1tor cuda-oxide, ktor\u00fd umo\u017e\u0148uje kompilova\u0165 k\u00f3d v jazyku Rust, vyu\u017e\u00edvaj\u00faci \u0161tandardn\u00fd syst\u00e9m typov a model vlastn\u00edctva Rust, priamo na in\u0161trukcie na vykon\u00e1vanie v virtu\u00e1lnom stroji<\/a> CUDA PTX (Parallel Thread Execution). Jadr\u00e1 pre GPU sa vytv\u00e1raj\u00fa na be\u017enom Rust, ale vykon\u00e1vaj\u00fa sa v prostred\u00ed no_std a m\u00f4\u017eu vyu\u017e\u00edva\u0165 iba funkcie z kni\u017enice libcore a \u0161pecializovan\u00e9 Rust-abstrakcie, bez pr\u00edstupu k \u0161tandardnej kni\u017enici Rust (libstd). <\/p>\n V CUDA-jadrach na Rust je povolen\u00e9 pou\u017eitie ochrany prostredn\u00edctvom syst\u00e9mu typov (safe), pou\u017e\u00edvanie blokov unsafe a pr\u00edstup k n\u00edzko\u00farov\u0148ov\u00fdm hardv\u00e9rov\u00fdm in\u0161trukci\u00e1m. Na zabezpe\u010denie bezpe\u010dnosti sa navrhuje typ DisjointSlice, ktor\u00fd zaru\u010duje, \u017ee ka\u017ed\u00e9 vl\u00e1kno dostane v\u00fdhradn\u00fd pr\u00edstup iba k svojim d\u00e1tam. K\u00f3d cuda-oxide sa distribuuje pod licenciou Apache 2.0. <\/p>\n Na pou\u017eitie modelu Tail sa navrhuje kni\u017enica cutile-rs, ktor\u00e1 umo\u017e\u0148uje vyu\u017e\u00edva\u0165 idiomatick\u00fd jazyk Rust na vytv\u00e1ranie k\u00f3du kompilovan\u00e9ho priamo do CUDA-j\u00e1dier. Cutile-rs uplat\u0148uje v Ruste navrhnut\u00e9 pr\u00edsne pravidl\u00e1 vlastn\u00edctva a po\u017ei\u010dania na k\u00f3d vykon\u00e1van\u00fd na GPU. Jadro je formulovan\u00e9 ako jednovl\u00e1knov\u00fd program pracuj\u00faci s blokom \u00fadajov, pri\u010dom kompil\u00e1tor s\u00e1m rozde\u013euje v\u00fdpo\u010dty na vl\u00e1kna a zabezpe\u010duje ich synchroniz\u00e1ciu. Vl\u00e1knam sa poskytuje zdie\u013ean\u00fd pr\u00edstup k nemenn\u00fdm tenzorom, a pre bezpe\u010dn\u00fd pr\u00edstup k menite\u013en\u00fdm tenzorom sa pou\u017e\u00edvaj\u00fa ich segment\u00e1cia na neprekr\u00fdvaj\u00face sa bloky. K\u00f3d cutile-rs je \u0161\u00edren\u00fd pod licenciou Apache 2.0. \u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f NVIDIA \u043e\u0431\u044a\u044f\u0432\u0438\u043b\u0430 \u043e \u0440\u0430\u0437\u0432\u0438\u0442\u0438\u0438 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u044f CUDA Rust, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0435\u0433\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044f\u0437\u044b\u043a Rust \u0434\u043b\u044f \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u044f\u0434\u0435\u0440, \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u043c\u044b\u0445 \u043d\u0430 \u0441\u0442\u043e\u0440\u043e\u043d\u0435 GPU. \u0418\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u0435\u0442 \u0431\u0435\u0437\u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u044c \u0440\u0430\u0431\u043e\u0442\u044b \u0441 \u043f\u0430\u043c\u044f\u0442\u044c\u044e \u043d\u0430 \u044d\u0442\u0430\u043f\u0435 \u043a\u043e\u043c\u043f\u0438\u043b\u044f\u0446\u0438\u0438 \u0438 \u043f\u0440\u0435\u0434\u043e\u0442\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u0432\u043e\u0437\u043d\u0438\u043a\u043d\u043e\u0432\u0435\u043d\u0438\u0435 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0439 \u0433\u043e\u043d\u043a\u0438. \u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u0433\u043e\u0434\u0443 CUDA Rust \u043f\u043b\u0430\u043d\u0438\u0440\u0443\u044e\u0442 \u0434\u043e\u0432\u0435\u0441\u0442\u0438 \u0434\u043e \u0443\u0440\u043e\u0432\u043d\u044f, \u043f\u0440\u0438\u0433\u043e\u0434\u043d\u043e\u0433\u043e \u0434\u043b\u044f \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0440\u0430\u0431\u043e\u0447\u0438\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432, \u0430\u043d\u0430\u043b\u043e\u0433\u0438\u0447\u043d\u043e\u0433\u043e \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u044f\u043c CUDA C++ \u0438 CUDA Python. \u0418\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":10,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-183381","post","type-post","status-publish","format-standard","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\n","aioseo_head_json":{"title":"\ud83e\udd47NVIDIA predstavila CUDA Rust pre v\u00fdvoj GPU-jadier v jazyku Rust | ProHoster","description":"Spolo\u010dnos\u0165 NVIDIA ozn\u00e1mila rozvoj n\u00e1strojov CUDA Rust, ktor\u00e9 umo\u017e\u0148uj\u00fa 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Zdroj: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"