{"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\/hu\/blog\/news\/nvidia-introduces-cuda-rust-for-developing-gpu-kernels-in-rust","title":{"rendered":"Az NVIDIA bemutatta a CUDA Rust-ot a GPU-yt\u00e1rgyak Rust nyelven val\u00f3 fejleszt\u00e9s\u00e9hez.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Az NVIDIA bejelentette a CUDA Rust eszk\u00f6zfejleszt\u00e9s\u00e9nek el\u0151rehalad\u00e1s\u00e1t, amely lehet\u0151v\u00e9 teszi a Rust nyelv haszn\u00e1lat\u00e1t GPU-\u00faton fut\u00f3 magok fejleszt\u00e9s\u00e9re. Az eszk\u00f6z biztos\u00edtja a mem\u00f3riahaszn\u00e1lat biztons\u00e1g\u00e1t a ford\u00edt\u00e1si szakaszban, \u00e9s megel\u0151zi a versenyt\u00e1rsak \u00e1llapot\u00e1nak kialakul\u00e1s\u00e1t. A k\u00f6vetkez\u0151 \u00e9vben a CUDA Rust-ot olyan szintre tervezik emelni, amely alkalmas munkaprojektek fejleszt\u00e9s\u00e9re, hasonl\u00f3an a CUDA C++ \u00e9s CUDA Python eszk\u00f6z\u00f6kh\u00f6z.       <\/p>\n<p>A CUDA Rust eszk\u00f6zk\u00e9szlet k\u00e9t p\u00e1rhuzamosan fut\u00f3 mag fejleszt\u00e9si modellt t\u00e1mogat \u2014 SIMT (Single Instruction, Multiple Threads) \u00e9s Tile. A SIMT modell lehet\u0151v\u00e9 teszi az egyetlen sz\u00e1l logik\u00e1j\u00e1nak alacsony szint\u0171 meghat\u00e1roz\u00e1s\u00e1t, ezer ilyen sz\u00e1l ind\u00edt\u00e1s\u00e1t \u00e9s kezel\u00e9s\u00e9t. A Tile modell egy magasabb absztrakci\u00f3s szintet k\u00edn\u00e1l, amelyben ahelyett, hogy k\u00fcl\u00f6n sz\u00e1lakat kezelne, adatblokkok (tile) m\u0171veleteit hat\u00e1rozza meg, m\u00edg a sz\u00e1lak manipul\u00e1l\u00e1s\u00e1t, a hozz\u00e1f\u00e9r\u00e9s szinkroniz\u00e1l\u00e1s\u00e1t, a mem\u00f3ria kezel\u00e9s\u00e9t \u00e9s az adatok eloszt\u00e1s\u00e1t a tensor magokra a Tile IR ford\u00edt\u00f3 v\u00e9gzi.       <\/p>\n<p>Rust nyelven a SIMT modell haszn\u00e1lat\u00e1val t\u00f6rt\u00e9n\u0151 fejleszt\u00e9s \u00e9rdek\u00e9ben a cuda-oxide ford\u00edt\u00f3 fejl\u0151dik, lehet\u0151v\u00e9 t\u00e9ve Rust nyelven \u00edrt k\u00f3d ford\u00edt\u00e1s\u00e1t, amely a Rust saj\u00e1t t\u00edpuskezel\u00e9si rendszere \u00e9s tulajdonjogi modellje alapj\u00e1n k\u00e9sz\u00fclt, k\u00f6zvetlen\u00fcl v\u00e9grehajthat\u00f3 utas\u00edt\u00e1sokk\u00e1. <a class=\"wpil_keyword_link\" href=\"https:\/\/prohoster.info\/hu\/vps\/abuzoustojchivye-vps\/\"   title=\"virtu\u00e1lis g\u00e9pben\" data-wpil-keyword-link=\"linked\">virtu\u00e1lis g\u00e9pben<\/a> A CUDA PTX (Parallel Thread Execution) keretein bel\u00fcl a GPU magokat hagyom\u00e1nyos Rust haszn\u00e1lat\u00e1val hoznak l\u00e9tre, de no_std k\u00f6rnyezetben futnak, \u00e9s csak a libcore k\u00f6nyvt\u00e1r funkci\u00f3it \u00e9s a speci\u00e1lis Rust-absztrakci\u00f3kat haszn\u00e1lhatj\u00e1k, a Rust standard k\u00f6nyvt\u00e1rhoz (libstd) val\u00f3 hozz\u00e1f\u00e9r\u00e9s n\u00e9lk\u00fcl.   <\/p>\n<p>A Rust-ra \u00edrt CUDA magok eset\u00e9ben megengedett a t\u00edpusokkal t\u00f6rt\u00e9n\u0151 v\u00e9delem (safe), az unsafe blokkok haszn\u00e1lata, valamint a m\u00e9lyebben fekv\u0151 hardver utas\u00edt\u00e1sokhoz val\u00f3 hozz\u00e1f\u00e9r\u00e9s. A biztons\u00e1g \u00e9rdek\u00e9ben egy DisjointSlice t\u00edpust javasolnak, amely garant\u00e1lja, hogy minden sz\u00e1l kiz\u00e1r\u00f3lagos hozz\u00e1f\u00e9r\u00e9st kap a saj\u00e1t adataihoz. A cuda-oxide k\u00f3dja Apache 2.0 licenc alatt terjesztett.    <\/p>\n<p>A Tail modell alkalmaz\u00e1s\u00e1hoz a cutile-rs k\u00f6nyvt\u00e1rat aj\u00e1nlj\u00e1k, amely lehet\u0151v\u00e9 teszi a Rust nyelv idiomatikus haszn\u00e1lat\u00e1t CUDA-ytartalmak k\u00f6zvetlen ford\u00edt\u00e1s\u00e1hoz. A cutile-rs a Rust \u00e1ltal javasolt szigor\u00fa tulajdonjog- \u00e9s k\u00f6lcs\u00f6nz\u00e9si szab\u00e1lyokat alkalmazza a GPU-n v\u00e9grehajtott k\u00f3dra. Az Ytartalom egy egysz\u00e1l\u00fa programk\u00e9nt van megform\u00e1lva, amely egy adathalmazon m\u0171k\u00f6dik, a ford\u00edt\u00f3 pedig automatikusan bontja fel a sz\u00e1m\u00edt\u00e1sokat sz\u00e1lakra, \u00e9s biztos\u00edtja azok szinkroniz\u00e1l\u00e1s\u00e1t. A sz\u00e1lak megosztott hozz\u00e1f\u00e9r\u00e9st kapnak a v\u00e1ltozatlan tenzorokhoz, m\u00edg a v\u00e1ltoz\u00f3 tenzorok biztons\u00e1gos el\u00e9r\u00e9s\u00e9hez azok nem \u00e1tfed\u0151 blokkokra vannak osztva. A cutile-rs k\u00f3dja Apache 2.0 licenc alatt terjesztett.<br \/>\n<br \/>Forr\u00e1s: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=66295\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\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 [&hellip;]<\/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<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f NVIDIA 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