{"id":121200,"date":"2025-01-01T15:45:59","date_gmt":"2025-01-01T13:46:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-zluda-4-universalnoj-realizaczii-tehnologii-cuda"},"modified":"2025-01-01T15:45:59","modified_gmt":"2025-01-01T13:46:00","slug":"vypusk-zluda-4-universalnoj-realizaczii-tehnologii-cuda","status":"publish","type":"post","link":"https:\/\/prohoster.info\/hu\/blog\/news\/vypusk-zluda-4-universalnoj-realizaczii-tehnologii-cuda","title":{"rendered":"ZLUDA 4 kiad\u00e1s, a CUDA technol\u00f3gia univerz\u00e1lis megval\u00f3s\u00edt\u00e1sa","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Andrzej Janik bemutatta a ZLUDA projekt friss\u00edt\u00e9s\u00e9t, amely a CUDA technol\u00f3gia ny\u00edlt megval\u00f3s\u00edt\u00e1s\u00e1t fejleszti. A projekt c\u00e9lja, hogy lehet\u0151v\u00e9 tegye a m\u00f3dos\u00edtatlan CUDA alkalmaz\u00e1sok futtat\u00e1s\u00e1t az NVIDIA GPU-t\u00f3l elt\u00e9r\u0151 GPU-kkal rendelkez\u0151 rendszereken, a teljes\u00edtm\u00e9ny k\u00f6zel\u00e9ben ahhoz, amit a r\u00e9tegek n\u00e9lk\u00fcl futtatott alkalmaz\u00e1sok ny\u00fajtanak. A projekt k\u00f3dja az MIT \u00e9s az Apache 2.0 licenc alatt terjed. <\/p>\n

A ZLUDA 4 az els\u0151 kiad\u00e1sk\u00e9nt van bemutatva, amelyet a k\u00f3dalapnak az AMD-n\u00e9l v\u00e9gzett munk\u00e1ja sor\u00e1n fejlesztett k\u00f3dokt\u00f3l val\u00f3 megtiszt\u00edt\u00e1sa ut\u00e1n \u00e1ll\u00edtottak \u00f6ssze. 2022 \u00f3ta Andrzej az AMD-n\u00e9l dolgozott egy r\u00e9teg k\u00e9sz\u00edt\u00e9s\u00e9n, amely kompatibiliss\u00e9 tette volna az AMD GPU-kat a CUDA-val, de a projektet 2024-ben le\u00e1ll\u00edtott\u00e1k. A szerz\u0151d\u00e9s felt\u00e9telei szerint \u00e9s miut\u00e1n az AMD k\u00e9pvisel\u0151j\u00e9t\u0151l enged\u00e9lyt kapott a publik\u00e1l\u00e1sra, Andrzej nyilv\u00e1noss\u00e1gra hozta az AMD-n\u00e9l v\u00e9gzett munk\u00e1j\u00e1nak k\u00f3dj\u00e1t, amely lehet\u0151v\u00e9 teszi a CUDA alkalmaz\u00e1sok futtat\u00e1s\u00e1t a ROCm stack \u00e9s a HIP (Heterogeneous-computing Interface for Portability) runtime f\u00f6l\u00f6tt. Okt\u00f3berben Andrzej k\u00e9nytelen volt elt\u00e1vol\u00edtani a k\u00f3dot a nyilv\u00e1noss\u00e1g el\u0151l, miut\u00e1n jog\u00e1szokt\u00f3l kapott levelet, amelyben k\u00f6z\u00f6lt\u00e9k, hogy az email-es kommunik\u00e1ci\u00f3 sor\u00e1n adott enged\u00e9ly jogi \u00e9rtelemben nem \u00e9rv\u00e9nyes. <\/p>\n

A ZLUDA \u00faj kiad\u00e1sa a kor\u00e1bbi k\u00f3dalap alapj\u00e1n k\u00e9sz\u00fclt, amely m\u00e9g Andrzej AMD-n\u00e9l v\u00e9gzett munk\u00e1ja el\u0151tt l\u00e9tezett, nem k\u00f6t\u0151dik konkr\u00e9t GPU-hoz, \u00e9s a CUDA-t felhaszn\u00e1l\u00f3 alkalmaz\u00e1sok futtat\u00e1s\u00e1ra \u00f6sszpontos\u00edt, amelyek g\u00e9pi tanul\u00e1ssal \u00e9s mesters\u00e9ges intelligenci\u00e1val kapcsolatos feladatokat gyors\u00edtanak. A projekt egyel\u0151re csak AMD GPU-kkal m\u0171k\u00f6dik, de k\u00e9s\u0151bb az Intel GPU-kra is adapt\u00e1lj\u00e1k. A ZLUDA 4 kiad\u00e1sa Rust nyelven \u00edr\u00f3dott, \u00e9s a Geekbench 5 tesztk\u00e9szlet futtat\u00e1s\u00e1ra van optimaliz\u00e1lva. <\/p>\n

Az \u00faj verzi\u00f3 \u00faj PTX elemz\u0151t tartalmaz, amely a NVIDIA GPU-k \u00e1ltal haszn\u00e1lt k\u00f6ztes nyelv. A kiad\u00e1s figyelemre m\u00e9lt\u00f3 az NVIDIA GPU-kra jellemz\u0151 inkrement\u00e1l\u00f3 \u00e9s dekrement\u00e1l\u00f3 utas\u00edt\u00e1sok emul\u00e1ci\u00f3j\u00e1nak elhagy\u00e1s\u00e1val, helyette az AMD GPU-k hasonl\u00f3 utas\u00edt\u00e1sait h\u00edvj\u00e1k meg. Ezek a m\u00f3dos\u00edt\u00e1sok k\u00f6r\u00fclbel\u00fcl 10%-os teljes\u00edtm\u00e9nyn\u00f6veked\u00e9st eredm\u00e9nyeztek a Geekbench teszt futtat\u00e1sakor, \u00f6sszehasonl\u00edtva az OpenCL-lal \u00e9s a ZLUDA 3 \u00e1g\u00e1val.

\"ZLUDA<\/center>
\n
Forr\u00e1s: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u0410\u043d\u0434\u0436\u0435\u0439 \u042f\u043d\u0438\u043a (Andrzej Janik) \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u043f\u0440\u043e\u0435\u043a\u0442\u0430 ZLUDA, \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0435\u0433\u043e \u043e\u0442\u043a\u0440\u044b\u0442\u0443\u044e \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044e \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0438 CUDA. \u0426\u0435\u043b\u044c\u044e \u043f\u0440\u043e\u0435\u043a\u0442\u0430 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u0437\u0430\u043f\u0443\u0441\u043a\u0430 \u043d\u0435\u043c\u043e\u0434\u0438\u0444\u0438\u0446\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0439 CUDA \u043d\u0430 \u0441\u0438\u0441\u0442\u0435\u043c\u0430\u0445 \u0441 GPU, \u043e\u0442\u043b\u0438\u0447\u043d\u044b\u0445 \u043e\u0442 GPU NVIDIA, \u0441 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c\u044e, \u0431\u043b\u0438\u0437\u043a\u043e\u0439 \u043a \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0439, \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u043c\u044b\u0445 \u0431\u0435\u0437 \u043f\u0440\u043e\u0441\u043b\u043e\u0435\u043a. \u041a\u043e\u0434 \u043f\u0440\u043e\u0435\u043a\u0442\u0430 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u044f\u043c\u0438 MIT \u0438 Apache 2.0. ZLUDA 4 \u043f\u0440\u0435\u043f\u043e\u0434\u043d\u043e\u0441\u0438\u0442\u0441\u044f \u043a\u0430\u043a \u043f\u0435\u0440\u0432\u044b\u0439 \u0432\u044b\u043f\u0443\u0441\u043a, \u0441\u0444\u043e\u0440\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":121201,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-121200","post","type-post","status-publish","format-standard","has-post-thumbnail","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\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47ZLUDA 4 kiad\u00e1sa, a CUDA technol\u00f3gia univerz\u00e1lis megval\u00f3s\u00edt\u00e1sa | ProHoster","description":"Andrzej Janik bemutatta a ZLUDA projekt friss\u00edt\u00e9s\u00e9t, amely a CUDA technol\u00f3gia ny\u00edlt megval\u00f3s\u00edt\u00e1s\u00e1t fejleszti.","canonical_url":"https:\/\/prohoster.info\/hu\/blog\/news\/vypusk-zluda-4-universalnoj-realizaczii-tehnologii-cuda","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"hu_HU","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\udd47\u0412\u044b\u043f\u0443\u0441\u043a ZLUDA 4, \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0430\u043b\u044c\u043d\u043e\u0439 \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0438 CUDA | ProHoster","og:description":"\u0410\u043d\u0434\u0436\u0435\u0439 \u042f\u043d\u0438\u043a (Andrzej Janik) \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u043f\u0440\u043e\u0435\u043a\u0442\u0430 ZLUDA, \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0435\u0433\u043e \u043e\u0442\u043a\u0440\u044b\u0442\u0443\u044e \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044e \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0438 CUDA.","og:url":"https:\/\/prohoster.info\/hu\/blog\/news\/vypusk-zluda-4-universalnoj-realizaczii-tehnologii-cuda","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":"2025-01-01T13:46:00+00:00","article:modified_time":"2025-01-01T13:46:00+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster","article:author":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":{"post_id":"121200","title":null,"description":null,"keywords":null,"keyphrases":null,"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":"2026-01-23 09:20:19","breadcrumb_settings":null,"limit_modified_date":false,"reviewed_by":null,"ai":null,"created":"2026-01-23 09:20:19","updated":"2026-01-23 09:20:19","focus_keyword":null,"additional_keywords":null,"truseo_locale":null},"gt_translate_keys":[{"key":"link","format":"url"}],"_links":{"self":[{"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/posts\/121200","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/comments?post=121200"}],"version-history":[{"count":0,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/posts\/121200\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/media\/121201"}],"wp:attachment":[{"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/media?parent=121200"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/categories?post=121200"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/tags?post=121200"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}