{"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\/sv\/blog\/news\/nvidia-introduces-cuda-rust-for-developing-gpu-kernels-in-rust","title":{"rendered":"NVIDIA har introducerat CUDA Rust f\u00f6r utveckling av GPU-k\u00e4rnor i spr\u00e5ket Rust.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

F\u00f6retaget NVIDIA har tillk\u00e4nnagivit utvecklingen av CUDA Rust-verktyget, som m\u00f6jligg\u00f6r anv\u00e4ndning av spr\u00e5ket Rust f\u00f6r att utveckla k\u00e4rnor som k\u00f6rs p\u00e5 GPU-sidan. Verktyget s\u00e4kerst\u00e4ller minness\u00e4kerhet vid kompilering och f\u00f6rhindrar uppkomsten av t\u00e4vlingsf\u00f6rh\u00e5llanden. Under n\u00e4sta \u00e5r planerar de att ta CUDA Rust till en niv\u00e5 som \u00e4r l\u00e4mplig f\u00f6r utveckling av arbetsprojekt, j\u00e4mf\u00f6rbar med CUDA C++ och CUDA Python-verktygen. <\/p>\n

CUDA Rust-verktyget st\u00f6djer tv\u00e5 modeller f\u00f6r utveckling av parallellk\u00f6rda k\u00e4rnor \u2013 SIMT (Single Instruction, Multiple Threads) och Tile. SIMT-modellen g\u00f6r det m\u00f6jligt att p\u00e5 l\u00e5g niv\u00e5 definiera logiken f\u00f6r en enskild tr\u00e5d, starta tusentals s\u00e5dana tr\u00e5dar och hantera dem. Tile-modellen erbjuder en h\u00f6gre abstraktionsniv\u00e5 d\u00e4r ist\u00e4llet f\u00f6r att explicit hantera individuella tr\u00e5dar definieras algoritmer f\u00f6r att hantera datablokkar (tile), och alla manipulationer med tr\u00e5dar, synkronisering av \u00e5tkomst, minneshantering och distribution av data \u00f6ver tensor-k\u00e4rnor tas om hand av Tile IR-kompilatorn. <\/p>\n

F\u00f6r utveckling i Rust med anv\u00e4ndning av SIMT-modellen utvecklas kompilatorn cuda-oxide, som m\u00f6jligg\u00f6r kompilering av Rust-kod som anv\u00e4nder det inbyggda typesystemet och Rusts \u00e4garmodell direkt till instruktioner f\u00f6r k\u00f6rning i en virtuell maskin<\/a> CUDA PTX (Parallel Thread Execution). K\u00e4rnor f\u00f6r GPU:n skapas i vanlig Rust, men k\u00f6rs i en no_std-milj\u00f6 och kan endast anv\u00e4nda funktioner fr\u00e5n biblioteket libcore och specialiserade Rust-abstraktioner, utan tillg\u00e5ng till Rusts standardbibliotek (libstd). <\/p>\n

I CUDA-k\u00e4rnor p\u00e5 Rust till\u00e5ts anv\u00e4ndning av typ-skydd (safe), anv\u00e4ndning av os\u00e4kra block (unsafe) och tillg\u00e5ng till l\u00e5gniv\u00e5 h\u00e5rdvaruinstruktioner. F\u00f6r att s\u00e4kerst\u00e4lla s\u00e4kerhet f\u00f6resl\u00e5s typen DisjointSlice, som garanterar att varje tr\u00e5d f\u00e5r exklusiv \u00e5tkomst till endast sina egna data. Koden f\u00f6r cuda-oxide distribueras under Apache 2.0-licensen. <\/p>\n

F\u00f6r att till\u00e4mpa Tail-modellen erbjuds biblioteket cutile-rs, som m\u00f6jligg\u00f6r att anv\u00e4nda det idiomatiska spr\u00e5ket Rust f\u00f6r att skapa kod som kompileras direkt till CUDA-k\u00e4rnor. Cutile-rs till\u00e4mpar de strikta \u00e4gar- och l\u00e5neprinciperna som f\u00f6resl\u00e5s i Rust p\u00e5 koden som k\u00f6rs p\u00e5 GPU. K\u00e4rnan utformas som ett tr\u00e5dl\u00f6st program som arbetar med en datablok, och kompilatorn delar automatiskt upp ber\u00e4kningarna i tr\u00e5dar och s\u00e4kerst\u00e4ller deras synkronisering. Tr\u00e5darna f\u00e5r gemensam \u00e5tkomst till of\u00f6r\u00e4nderliga tensorer, och f\u00f6r s\u00e4ker \u00e5tkomst till f\u00f6r\u00e4nderliga tensorer delas de upp i icke-\u00f6verlappande block. Koden f\u00f6r cutile-rs distribueras under Apache 2.0-licensen.
\n
K\u00e4lla: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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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 presenterade CUDA Rust f\u00f6r utveckling av GPU-k\u00e4rnor p\u00e5 spr\u00e5ket Rust | ProHoster","description":"F\u00f6retaget NVIDIA har meddelat utvecklingen av CUDA Rust-verktyg, vilket m\u00f6jligg\u00f6r att anv\u00e4nda spr\u00e5ket Rust f\u00f6r att utveckla k\u00e4rnor som k\u00f6rs p\u00e5 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