{"id":182403,"date":"2026-06-30T14:48:40","date_gmt":"2026-06-30T12:48:40","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-zluda-6-universalnoj-otkrytoj-realizaczii-tehnologii-cuda"},"modified":"2026-06-30T14:48:40","modified_gmt":"2026-06-30T12:48:40","slug":"vypusk-zluda-6-universalnoj-otkrytoj-realizaczii-tehnologii-cuda","status":"publish","type":"post","link":"https:\/\/prohoster.info\/hu\/blog\/news\/vypusk-zluda-6-universalnoj-otkrytoj-realizaczii-tehnologii-cuda","title":{"rendered":"A ZLUDA 6 kiad\u00e1sa, a CUDA technol\u00f3gia univerz\u00e1lis ny\u00edlt megval\u00f3s\u00edt\u00e1sa","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Andrzej Janik bemutatta a ZLUDA 6-ot, a CUDA technol\u00f3gia ny\u00edlt megval\u00f3s\u00edt\u00e1s\u00e1t. A projekt c\u00e9lja, hogy lehet\u0151s\u00e9get biztos\u00edtson a m\u00f3dos\u00edtatlan CUDA alkalmaz\u00e1sok futtat\u00e1s\u00e1ra olyan rendszereken, amelyek nem NVIDIA GPU-val rendelkeznek, k\u00f6zel azonos teljes\u00edtm\u00e9nnyel az olyan alkalmaz\u00e1sokhoz k\u00e9pest, amelyek r\u00e9tegek n\u00e9lk\u00fcl futnak. A projekt k\u00f3dja Rust nyelven k\u00e9sz\u00fclt, \u00e9s az MIT \u00e9s Apache 2.0 licenc alatt terjesztik. <\/p>\n

A ZLUDA 6 a projekt harmadik jelent\u0151s kiad\u00e1sa, amely a
\n k\u00f3dalap tiszt\u00edt\u00e1s\u00e1t k\u00f6vet\u0151en alakult ki, amelyet Andrzej az AMD-n\u00e9l v\u00e9gzett munk\u00e1ja sor\u00e1n fejlesztett. 2022 \u00f3ta Andrzej az AMD-n\u00e9l dolgozott egy r\u00e9teg l\u00e9trehoz\u00e1s\u00e1n, amely az AMD GPU-k CUDA-val val\u00f3 kompatibilit\u00e1s\u00e1t biztos\u00edtotta, de 2024-ben a projektet le\u00e1ll\u00edtott\u00e1k. A szerz\u0151d\u00e9s felt\u00e9telei alapj\u00e1n, \u00e9s az AMD k\u00e9pvisel\u0151j\u00e9nek enged\u00e9ly\u00e9vel Andrzej ny\u00edltan k\u00f6zz\u00e9tette az AMD-n\u00e9l v\u00e9gzett munka sor\u00e1n k\u00e9sz\u00fclt k\u00f3dot, amely lehet\u0151v\u00e9 teszi a CUDA alkalmaz\u00e1sok futtat\u00e1s\u00e1t a ROCm r\u00e9teg \u00e9s a HIP (Heterogeneous-computing Interface for Portability) futtat\u00e1si k\u00f6rnyezet felett. <\/p>\n

K\u00e9t \u00e9vvel ezel\u0151tt Andrzej k\u00e9nytelen volt elt\u00e1vol\u00edtani a k\u00f3dot a nyilv\u00e1noss\u00e1gb\u00f3l, miut\u00e1n egy \u00fcgyv\u00e9d levelez\u00e9sb\u0151l kider\u00fclt, hogy az email-ben adott enged\u00e9ly nem jogi \u00e9rtelemben \u00e9rv\u00e9nyes. Ezt k\u00f6vet\u0151en Andrzej elkezdett dolgozni a ZLUDA \u00faj kiad\u00e1s\u00e1n, amely a munk\u00e1ja el\u0151tt l\u00e9tez\u0151 k\u00f3dalapra \u00e9p\u00fcl. A jelenlegi fejleszt\u00e9s a g\u00e9pi tanul\u00e1ssal kapcsolatos feladatok gyors\u00edt\u00e1s\u00e1ra szolg\u00e1l\u00f3 CUDA-t haszn\u00e1l\u00f3 alkalmaz\u00e1sok teljes\u00edtm\u00e9ny\u00e9re \u00f6sszpontos\u00edt. A projekt egyel\u0151re csak AMD GPU-kkal m\u0171k\u00f6dik, de a j\u00f6v\u0151ben \u00e1t fogj\u00e1k alak\u00edtani Intel GPU-ra. <\/p>\n

Az \u00faj kiad\u00e1sban kezdeti t\u00e1mogat\u00e1s ker\u00fclt bevezet\u00e9sre a ZLUDA felett a fizikai folyamatok szimul\u00e1l\u00f3 motorj\u00e1nak, a PhysX-nek \u00e9s a 3D modellez\u0151 rendszernek, a Blendernek a futtat\u00e1s\u00e1hoz. A PhysX t\u00e1mogat\u00e1s egyel\u0151re korai st\u00e1tuszban van
\nAz alfa verzi\u00f3k korl\u00e1tozva vannak a 32 bites PhysX build-ek futtat\u00e1s\u00e1nak lehet\u0151s\u00e9g\u00e9vel, ami lehet\u0151v\u00e9 teszi, hogy az AMD GPU-val rendelkez\u0151 rendszereken r\u00e9gi j\u00e1t\u00e9kokat futtassanak, amelyek ezt a motort haszn\u00e1lj\u00e1k. P\u00e9ld\u00e1ul a Mafia II j\u00e1t\u00e9kban a ZLUDA aktiv\u00e1l\u00e1s\u00e1val siker\u00fclt a FPS-t 26-r\u00f3l 80-ra n\u00f6velni. A ZLUDA haszn\u00e1lat\u00e1val elegend\u0151 text\u00fara-t\u00e1mogat\u00e1st val\u00f3s\u00edtottak meg a Blender futtat\u00e1s\u00e1hoz. A Windows platform t\u00e1mogat\u00e1sa jelent\u0151sen javult. Kiterjesztett\u00e9k a ZLUDA keretrendszerek futtat\u00e1si lehet\u0151s\u00e9geit, amelyek lehet\u0151v\u00e9 teszik nagy nyelvi modellek (p\u00e9ld\u00e1ul PyTorch) haszn\u00e1lat\u00e1t CUDA-optimaliz\u00e1l\u00e1sokkal, amelyek az NVIDIA GPU-k sz\u00e1m\u00e1ra \u00e9rhet\u0151k el. <\/p>\n<\/ul>\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 \u0432\u044b\u043f\u0443\u0441\u043a ZLUDA 6, \u043e\u0442\u043a\u0440\u044b\u0442\u043e\u0439 \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \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\u043c\u0438 \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 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Rust \u0438 \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 6 \u0441\u0442\u0430\u043b […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":8,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-182403","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\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47ZLUDA 6 kiad\u00e1s, a CUDA technol\u00f3gia univerz\u00e1lis ny\u00edlt forr\u00e1sk\u00f3d\u00fa megval\u00f3s\u00edt\u00e1sa | ProHoster","description":"Andrzej Janik bemutatta a ZLUDA 6 kiad\u00e1s\u00e1t, a CUDA technol\u00f3gia ny\u00edlt forr\u00e1sk\u00f3d\u00fa 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