{"id":183381,"date":"2026-09-17T16:54:32","date_gmt":"2026-09-17T14:54:32","guid":{"rendered":"https:\/\/prohoster.info\/blog\/news\/nvidia-predstavila-cuda-rust-dlya-razrabotki-gpu-yader-na-yazyke-rust"},"modified":"2026-09-17T16:54:36","modified_gmt":"2026-09-17T14:54:36","slug":"nvidia-introduces-cuda-rust-for-developing-gpu-kernels-in-rust","status":"publish","type":"post","link":"https:\/\/prohoster.info\/lv\/blog\/news\/nvidia-introduces-cuda-rust-for-developing-gpu-kernels-in-rust","title":{"rendered":"NVIDIA ir prezent\u0113jusi CUDA Rust GPU kodolu att\u012bst\u012bbai Rust valod\u0101.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

NVIDIA uz\u0146\u0113mums pazi\u0146oja par CUDA Rust instrumenta att\u012bst\u012bbu, kas \u013cauj izmantot Rust valodu, lai izstr\u0101d\u0101tu kodus, kas darbojas uz GPU. Instruments nodro\u0161ina atmi\u0146as dro\u0161\u012bbu kompil\u0101cijas posm\u0101 un nov\u0113r\u0161 sacens\u012bbu st\u0101vok\u013cu ra\u0161anos. N\u0101kamaj\u0101 gad\u0101 pl\u0101nots sasniegt CUDA Rust t\u0101du l\u012bmeni, kas b\u016btu piem\u0113rots darba projektu izstr\u0101dei, sal\u012bdzin\u0101mu ar CUDA C++ un CUDA Python instrumentiem. <\/p>\n

CUDA Rust r\u012bki atbalsta divas paral\u0113li izpild\u0101mu kodu izstr\u0101des mode\u013cus \u2014 SIMT (Single Instruction, Multiple Threads) un Tile. SIMT modelis \u013cauj zem\u0101 l\u012bmen\u012b noteikt vienas pl\u016bsmas lo\u0123iku, palai\u017eot t\u016bksto\u0161iem \u0161\u0101du pl\u016bsmu un p\u0101rvaldot t\u0101s. Tile modelis pied\u0101v\u0101 augst\u0101ku abstrakcijas l\u012bmeni, kur\u0101, nevis skaidri p\u0101rvaldot atsevi\u0161\u0137as pl\u016bsmas, tiek defin\u0113ti darb\u012bbas algoritmi ar datu blokiem (tile), un visas manipul\u0101cijas ar pl\u016bsm\u0101m, piek\u013cuves sinhroniz\u0101cija, atmi\u0146as p\u0101rvald\u012bba un datu sadale pa tenzoru kodoliem tiek uztic\u0113ta Tile IR kompilerim. <\/p>\n

Izstr\u0101d\u0101jot ar Rust valodu, izmantojot SIMT modeli, tiek att\u012bst\u012bts cuda-oxide kompilators, kas \u013cauj kompil\u0113t kodu Rust valod\u0101, izmantojot standarta tipisko sist\u0113mu un Rust \u012bpa\u0161umties\u012bbu modeli, tie\u0161i instrukcij\u0101m izpildei CUDA PTX (Parallel Thread Execution). virtu\u0101l\u0101 ma\u0161\u012bn\u0101<\/a> GPU kodi tiek rad\u012bti parastaj\u0101 Rust, ta\u010du tie tiek izpild\u012bti no no_std vid\u0113 un var izmantot tikai funkcijas no libcore bibliot\u0113kas un specializ\u0113t\u0101m Rust abstrakcij\u0101m, bez piek\u013cuves pie Rust standarta bibliot\u0113kas (libstd). <\/p>\n

CUDA kodus Rust valod\u0101 dr\u012bkst aizsarg\u0101t, izmantojot tipu sist\u0113mu (safe), izmantojot unsafe blokos un piek\u013c\u016bstot zemas l\u012bme\u0146a aparat\u016bras instrukcij\u0101m. Dro\u0161\u012bbas nodro\u0161in\u0101\u0161anai tiek pied\u0101v\u0101ts DisjointSlice tips, kas garant\u0113, ka katra pl\u016bsma sa\u0146em ekskluz\u012bvu piek\u013cuvi tikai saviem datiem. Kods cuda-oxide tiek izplat\u012bts ar Apache 2.0 licenci. <\/p>\n

Tail mode\u013ca izmanto\u0161anai tiek pied\u0101v\u0101ta cutile-rs bibliot\u0113ka, kas \u013cauj izmantot idiom\u0101tisko Rust valodu kod\u0113\u0161anai, kas tiek kompil\u0113ta tie\u0161i CUDA yadro. Cutile-rs iev\u0113ro Rust pied\u0101v\u0101t\u0101s stingr\u0101s \u012bpa\u0161umties\u012bbu un aiz\u0146em\u0161an\u0101s noteikumu pras\u012bbas kodam, kas tiek izpild\u012bts GPU. Yadros tiek veidota k\u0101 vienpl\u016bsmas programma, kas str\u0101d\u0101 ar datu bloku, un kompilators pats sadala apr\u0113\u0137inus pl\u016bsm\u0101s un nodro\u0161ina to sinhroniz\u0101ciju. Pl\u016bsm\u0101m tiek nodro\u0161in\u0101ta koplieto\u0161ana ar nemain\u012bgajiem tenzoriem, un dro\u0161am piek\u013cuvei main\u0101majiem tenzoriem tiek veikta to sadale nep\u0101rkl\u0101jo\u0161os blokos. Code cutile-rs tiek izplat\u012bts ar Apache 2.0 licenci.
\n
Avots: opennet.lv<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\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 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\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 ieviesa CUDA Rust GPU kodolu izstr\u0101dei Rust valod\u0101 | ProHoster","description":"Uz\u0146\u0113mums NVIDIA pazi\u0146oja par CUDA Rust r\u012bku izstr\u0101des att\u012bst\u012bbu, kas \u013cauj izmantot Rust valodu kodolu izstr\u0101d\u0113, kuri tiek izpild\u012bti 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