{"id":144103,"date":"2025-10-04T11:12:05","date_gmt":"2025-10-04T09:12:05","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-zluda-5-universalnoj-otkrytoj-realizaczii-tehnologii-cuda"},"modified":"2025-10-04T11:12:05","modified_gmt":"2025-10-04T09:12:05","slug":"vypusk-zluda-5-universalnoj-otkrytoj-realizaczii-tehnologii-cuda","status":"publish","type":"post","link":"https:\/\/prohoster.info\/hu\/blog\/news\/vypusk-zluda-5-universalnoj-otkrytoj-realizaczii-tehnologii-cuda","title":{"rendered":"ZLUDA 5 kiad\u00e1s, a CUDA technol\u00f3gia univerz\u00e1lis ny\u00edlt megval\u00f3s\u00edt\u00e1sa.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Andrzej Janik bemutatta a ZLUDA 5-\u00f6t, a CUDA technol\u00f3gia ny\u00edlt forr\u00e1sk\u00f3d\u00fa megval\u00f3s\u00edt\u00e1s\u00e1t. A projekt c\u00e9lja, hogy lehet\u0151v\u00e9 tegye a m\u00f3dos\u00edtatlan CUDA alkalmaz\u00e1sok futtat\u00e1s\u00e1t olyan rendszereken, amelyek nem NVIDIA GPU-val rendelkeznek, k\u00f6zel az azonnali futtat\u00e1s teljes\u00edtm\u00e9ny\u00e9hez. A projekt k\u00f3dja Rust nyelven k\u00e9sz\u00fclt, \u00e9s az MIT \u00e9s Apache 2.0 licensz alatt terjesztik.       <\/p>\n<p>A ZLUDA 5 a projekt m\u00e1sodik jelent\u0151s kiad\u00e1sa, amely Andrzej AMD-n\u00e9l v\u00e9gzett munk\u00e1ja sor\u00e1n a k\u00f3db\u00e1zis tiszt\u00edt\u00e1sa ut\u00e1n j\u00f6tt l\u00e9tre. 2022 \u00f3ta Andrzej az AMD-n\u00e9l dolgozott a GPU AMD \u00e9s a CUDA k\u00f6z\u00f6tti kompatibilit\u00e1s r\u00e9teg\u00e9nek l\u00e9trehoz\u00e1s\u00e1n, de 2024-ben a projektet le\u00e1ll\u00edtott\u00e1k. A szerz\u0151d\u00e9s felt\u00e9teleivel \u00f6sszhangban \u00e9s az AMD k\u00e9pvisel\u0151j\u00e9t\u0151l kapott k\u00f6zz\u00e9t\u00e9teli enged\u00e9ly ut\u00e1n Andrzej nyilv\u00e1noss\u00e1gra hozta az AMD-n\u00e9l v\u00e9gzett munka sor\u00e1n megszerzett k\u00f3dot, amely lehet\u0151v\u00e9 teszi a CUDA alkalmaz\u00e1sok futtat\u00e1s\u00e1t a ROCm rendszer \u00e9s a HIP (Heterog\u00e9n sz\u00e1m\u00edt\u00e1si interf\u00e9sz hordozhat\u00f3s\u00e1ghoz) felett.     <\/p>\n<p>Tavaly Andrzej k\u00e9nytelen volt elt\u00e1vol\u00edtani a k\u00f3dot a nyilv\u00e1nos hozz\u00e1f\u00e9r\u00e9sb\u0151l egy \u00fcgyv\u00e9di levelet k\u00f6vet\u0151en, amelyb\u0151l kider\u00fclt, hogy az emailes levelez\u00e9s sor\u00e1n adott enged\u00e9ly jogi \u00e9rv\u00e9nye k\u00e9ts\u00e9ges. Ezt k\u00f6vet\u0151en Andrzej \u00faj ZLUDA kiad\u00e1son kezdett dolgozni, amely a munk\u00e1ja el\u0151tt l\u00e9tez\u0151 k\u00f3dalapra \u00e9p\u00fcl. A jelenlegi verzi\u00f3 a CUDA-t haszn\u00e1l\u00f3 alkalmaz\u00e1sok futtat\u00e1s\u00e1ra \u00f6sszpontos\u00edt a g\u00e9pi tanul\u00e1si feladatok gyors\u00edt\u00e1s\u00e1ban. A projekt jelenleg az AMD GPU-kkal m\u0171k\u00f6dik, de k\u00e9s\u0151bb az Intel GPU-kra is adapt\u00e1lva lesz.       <\/p>\n<p>A leg\u00fajabb kiad\u00e1s kulcsfontoss\u00e1g\u00fa fejleszt\u00e9sei:  <\/p>\n<ul>\n<li class=\"l\"> Kezdeti t\u00e1mogat\u00e1st kapott a llm.c, Llama.cpp \u00e9s PyTorch keretrendszerek ZLUDA feletti ind\u00edt\u00e1s\u00e1hoz, amely lehet\u0151v\u00e9 teszi a nagy nyelvi modellek CUDA-optimaliz\u00e1ci\u00f3k \u00e1ltal t\u00f6rt\u00e9n\u0151 futtat\u00e1s\u00e1t, amelyek az NVIDIA GPU-kra vonatkoznak.\n<li class=\"l\"> Kezdeti t\u00e1mogat\u00e1s val\u00f3sult meg a teljes\u00edtm\u00e9nyjav\u00edt\u00e1st szolg\u00e1l\u00f3 cuBLAS, cuBLASLt \u00e9s nvml k\u00f6nyvt\u00e1rak haszn\u00e1lat\u00e1nak ind\u00edt\u00e1s\u00e1hoz.\n<li class=\"l\"> Megjelent a zluda_trace r\u00e9teg a CUDA-t haszn\u00e1l\u00f3 alkalmaz\u00e1sok nyomk\u00f6vet\u00e9s\u00e9re. A zluda_trace seg\u00edts\u00e9g\u00e9vel diagnosztiz\u00e1lhat\u00f3ak a probl\u00e9m\u00e1k \u00e9s az ZLUDA-ban l\u00e9v\u0151 hi\u00e1nyoss\u00e1gok az alkalmaz\u00e1s norm\u00e1l futtat\u00e1s\u00e1ban.\n<li class=\"l\"> Bemutat\u00e1sra ker\u00fclt a zoc (ZLUDA offline compiler) parancssori seg\u00e9dprogram, amely lehet\u0151v\u00e9 teszi az NVIDIA PTX utas\u00edt\u00e1sf\u00e1jlok AMD RDNA k\u00f6ztes reprezent\u00e1ci\u00f3ra t\u00f6rt\u00e9n\u0151 leford\u00edt\u00e1s\u00e1t (kor\u00e1bban ez a funkci\u00f3 k\u00f6nyvt\u00e1ri f\u00fcggv\u00e9nyek form\u00e1j\u00e1ban volt el\u00e9rhet\u0151).\n<li class=\"l\"> A PTX modulbet\u00f6lt\u0151j\u00e9ben megval\u00f3sult a GPU magokon v\u00e9grehajtott m\u0171veletek gyors\u00edt\u00f3t\u00e1raz\u00e1si mechanizmusa. A gyors\u00edt\u00e1raz\u00e1s lehet\u0151v\u00e9 teszi a PTX (Parallel Thread Execution) utas\u00edt\u00e1sok g\u00e9pi k\u00f3dra val\u00f3 leford\u00edt\u00e1s\u00e1nak er\u0151forr\u00e1s-ig\u00e9nyes m\u0171veleteinek \u00fajb\u00f3li v\u00e9grehajt\u00e1s\u00e1nak elker\u00fcl\u00e9s\u00e9t egy adott GPU sz\u00e1m\u00e1ra.<br \/>\n<br \/>Forr\u00e1s: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=63997\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\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 5, \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 5 \u0441\u0442\u0430\u043b [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-144103","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=\"\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 5, \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.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" 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