{"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\/et\/blog\/news\/nvidia-introduces-cuda-rust-for-developing-gpu-kernels-in-rust","title":{"rendered":"NVIDIA tutvustas CUDA Rusti GPU-tuuma(de) arendamiseks Rusti keeles","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

NVIDIA teatas CUDA Rusti t\u00f6\u00f6riistakomplekti edasiarendusest, mis v\u00f5imaldab kasutada Rusti keelt GPU poolel k\u00e4itatavate tuumade arendamiseks. T\u00f6\u00f6riistakomplekt tagab m\u00e4lu kasutamise turvalisuse kompileerimise etapis ja aitab v\u00e4ltida v\u00f5idujooksuolukordade teket. J\u00e4rgmisel aastal plaanitakse CUDA Rust viia tasemeni, mis sobib reaalselt kasutatavate projektide arendamiseks, sarnaselt CUDA C++ ja CUDA Pythoni t\u00f6\u00f6riistadega. <\/p>\n

CUDA Rusti t\u00f6\u00f6riistakomplekt toetab kahte paralleelselt t\u00e4idetavate kernelite arendusmudelit — SIMT (Single Instruction, Multiple Threads) ja Tile. SIMT-mudel v\u00f5imaldab madalal tasemel m\u00e4\u00e4rata \u00fche l\u00f5ime loogika, k\u00e4ivitada tuhandeid selliseid l\u00f5imi ja neid hallata. Tile-mudel pakub k\u00f5rgema taseme abstraktsiooni, kus \u00fcksikute l\u00f5imede otsese juhtimise asemel m\u00e4\u00e4ratletakse andmeplokkidega (tile) tehtavate toimingute algoritmid ning k\u00f5ik l\u00f5imede k\u00e4sitlemise, juurdep\u00e4\u00e4su s\u00fcnkroonimise, m\u00e4luhalduse ja andmete tensorituumade vahel jaotamisega seotud toimingud v\u00f5tab enda peale Tile IR kompilaator. <\/p>\n

Rusti keeles arendamiseks SIMT-mudelit kasutades arendatakse kompilaatorit cuda-oxide, mis v\u00f5imaldab kompileerida Rusti koodi, mis kasutab Rusti tavap\u00e4rast t\u00fc\u00fcbiss\u00fcsteemi ja omandusmudelit, otse k\u00e4itamiseks m\u00f5eldud k\u00e4skudeks virtuaalses masinas<\/a> CUDA PTX-is (Parallel Thread Execution). GPU tuumad luuakse tavalises Rustis, kuid neid k\u00e4itatakse no_std keskkonnas ning need saavad kasutada ainult libcore teegi funktsioone ja spetsialiseeritud Rusti abstraktsioone, ilma ligip\u00e4\u00e4suta Rusti standardteegile (libstd). <\/p>\n

Rustis kirjutatud CUDA tuumades on lubatud kasutada t\u00fc\u00fcbis\u00fcsteemil p\u00f5hinevat kaitset (safe), unsafe-plokke ning p\u00f6\u00f6rduda madala taseme riistvarak\u00e4skude poole. Turvalisuse tagamiseks pakutakse t\u00fc\u00fcpi DisjointSlice, mis garanteerib, et iga l\u00f5im saab eksklusiivse juurdep\u00e4\u00e4su ainult oma andmetele. cuda-oxide'i kood levitatakse Apache 2.0 litsentsi alusel. <\/p>\n

Tail-mudeli rakendamiseks pakutakse teeki cutile-rs, mis v\u00f5imaldab kasutada idiomaatilist Rusti keelt otse CUDA-tuumadeks kompileeritava koodi loomiseks. Cutile-rs rakendab Rustis pakutavaid rangeid omandi- ja laenutusreegleid GPU-l k\u00e4ivitatavale koodile. Tuum vormistatakse \u00fche l\u00f5ime programmina, mis t\u00f6\u00f6tab andmeplokiga, ning kompilaator jagab arvutused ise l\u00f5imedeks ja tagab nende s\u00fcnkroonimise. L\u00f5imedele v\u00f5imaldatakse \u00fchiskasutus muutumatute tensoritega ning turvaliseks juurdep\u00e4\u00e4suks muudetavatele tensoritele kasutatakse nende jaotamist mittekateteks plokkideks. Cutile-rs-i kood levib Apache 2.0 litsentsi alusel.
\n
Allikas: opennet.ru<\/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 \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 tutvustas CUDA Rusti GPU-tuumade arendamiseks Rusti keeles | ProHoster","description":"NVIDIA teatas CUDA Rusti t\u00f6\u00f6riistakomplekti edasiarendamisest, mis v\u00f5imaldab kasutada Rusti keelt GPU poolel k\u00e4itatavate tuumade arendamiseks.","canonical_url":"https:\/\/prohoster.info\/et\/blog\/news\/nvidia-introduces-cuda-rust-for-developing-gpu-kernels-in-rust","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"et_EE","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47NVIDIA \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 CUDA Rust \u0434\u043b\u044f \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0438 GPU-\u044f\u0434\u0435\u0440 \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Rust | ProHoster","og:description":"\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.","og:url":"https:\/\/prohoster.info\/et\/blog\/news\/nvidia-introduces-cuda-rust-for-developing-gpu-kernels-in-rust","og:image":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:secure_url":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:width":350,"og:image:height":350,"article:published_time":"2026-09-17T14:54:32+00:00","article:modified_time":"2026-09-17T14:54:36+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":{"post_id":"183381","title":null,"description":null,"keywords":null,"keyphrases":{"focus":[],"additional":[]},"primary_term":null,"canonical_url":null,"og_title":null,"og_description":null,"og_object_type":"default","og_image_type":"default","og_image_url":null,"og_image_width":null,"og_image_height":null,"og_image_custom_url":null,"og_image_custom_fields":null,"og_video":null,"og_custom_url":null,"og_article_section":null,"og_article_tags":null,"twitter_use_og":false,"twitter_card":"default","twitter_image_type":"default","twitter_image_url":null,"twitter_image_custom_url":null,"twitter_image_custom_fields":null,"twitter_title":null,"twitter_description":null,"schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"","isEnabled":true},"graphs":[]},"schema_type":"default","schema_type_options":null,"pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":null,"robots_max_videopreview":null,"robots_max_imagepreview":"large","priority":null,"frequency":null,"local_seo":null,"seo_analyzer_scan_date":null,"breadcrumb_settings":null,"limit_modified_date":false,"reviewed_by":null,"ai":null,"created":"2026-09-22 16:21:00","updated":"2026-09-22 16:21:00","focus_keyword":null,"additional_keywords":null,"truseo_locale":null},"gt_translate_keys":[{"key":"link","format":"url"}],"_links":{"self":[{"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/posts\/183381","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/comments?post=183381"}],"version-history":[{"count":1,"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/posts\/183381\/revisions"}],"predecessor-version":[{"id":183382,"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/posts\/183381\/revisions\/183382"}],"wp:attachment":[{"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/media?parent=183381"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/categories?post=183381"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/tags?post=183381"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}