{"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\/et\/blog\/novosti-interneta\/vypusk-zluda-4-universalnoj-realizaczii-tehnologii-cuda","title":{"rendered":"ZLUDA 4 v\u00e4ljaanne, universaalne CUDA tehnoloogia rakenduse versioon","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Andrzej Janik tutvustas ZLUDA projekti v\u00e4rskendust, mis arendab avatud CUDA tehnoloogia rakendust. Projekti eesm\u00e4rk on v\u00f5imaldada seda, et muutmata CUDA rakendusi saaks k\u00e4itada erinevates GPU s\u00fcsteemides, mis pole NVIDIA GPU-d, pakkudes aktiivsuselt sarnast j\u00f5udlust rakendustele, mis t\u00f6\u00f6tavad ilma kihtideta. Projekti kood on litsentseeritud MIT ja Apache 2.0 alla.       <\/p>\n<p>ZLUDA 4 esitleb kui esimene v\u00e4ljaanne, mis on saadud koodibaasi puhastamisest, mis oli arendatud Andrzeji t\u00f6\u00f6tamise ajal AMD-s. Alates 2022. aastast t\u00f6\u00f6tas Andrzej AMD-s, et luua GPU AMD ja CUDA vahel \u00fchilduvuse kiht, kuid 2024. aastal projekti l\u00f5petati. Lepingu tingimuste kohaselt ja p\u00e4rast AMD esindaja avaldust lubamise saamist avas Andrzej koodi, mis oli v\u00e4lja t\u00f6\u00f6tatud ajal, mil ta oli AMD-s, ja mis v\u00f5imaldas k\u00e4ivitada CUDA rakendusi ROCm-i kihtide ja HIP (Heterogeneous-computing Interface for Portability) k\u00e4itamise kohal. Oktoobris pidi Andrzej koodi avatud juurdep\u00e4\u00e4sust eemaldama p\u00e4rast advokaatide kirja, mis andis m\u00f5ista, et e-kirjade jooksul saadud luba ei ole \u00f5igustatud.       <\/p>\n<p>Uus ZLUDA versioon on loodud kodu alusel, mis oli olemas enne Andrzeji t\u00f6\u00f6d AMD-s, see ei ole seotud konkreetsete GPU-dega ja keskendub rakenduste t\u00e4itmisele, mis kasutavad CUDA-d masin\u00f5ppe ja tehisintellekti \u00fclesannete kiirendamiseks. Projekt piirab seni oma t\u00f6\u00f6d AMD GPU-dega, kuid tulevikus kohandatakse seda ka Intel GPU-de jaoks. ZLUDA 4 v\u00e4ljalase on kirjutatud Rusti keeles ja keskendub Geekbench 5 testikomplekti t\u00e4itmisele.      <\/p>\n<p>Uus versioon sisaldab uut PTX-parsijat, vahekeelt, mida kasutatakse NVIDIA GPU-des. V\u00e4ljalase on ka t\u00e4helepanuv\u00e4\u00e4rne, kuna on loobunud NVIDIA GPU-dele spetsiifiliste inkremendi ja dekreendi k\u00e4su emuleerimisest, n\u00fc\u00fcd kutsub see v\u00e4lja sarnaseid AMD GPU k\u00e4ske. Need muudatused on v\u00f5imaldanud saavutada Geekbench'i testis umbes 10% paremat j\u00f5udlust v\u00f5rreldes OpenCL-i ja ZLUDA 3 haruga.      <center><img decoding=\"async\" alt=\"ZLUDA 4 v\u00e4ljaanne, universaalne CUDA tehnoloogia rakenduse versioon \" src=\"\/wp-content\/uploads\/2025\/01\/d4f342cde68b4b2fe9fc5450f5697364.png\" style=\"display:block;margin: 0 auto;\" \/><\/center><br \/>\n<br \/>Allikas: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=62499\">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 \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 [&hellip;]<\/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-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - 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 \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. 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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\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/prohoster.info\/et\/blog\/novosti-interneta\/vypusk-zluda-4-universalnoj-realizaczii-tehnologii-cuda\" \/>\n\t\t<meta property=\"og:image\" content=\"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg\" \/>\n\t\t<meta property=\"og:image:secure_url\" content=\"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg\" \/>\n\t\t<meta property=\"og:image:width\" content=\"350\" \/>\n\t\t<meta property=\"og:image:height\" content=\"350\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2025-01-01T13:46:00+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2025-01-01T13:46:00+00:00\" \/>\n\t\t<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/prohoster\" \/>\n\t\t<meta property=\"article:author\" content=\"https:\/\/www.facebook.com\/prohoster\" \/>\n\t\t<!-- All in One SEO -->\n\n","aioseo_head_json":{"title":"\ud83e\udd47 ZLUDA 4, universaalse CUDA tehnoloogia rakenduse v\u00e4ljaanne | ProHoster","description":"Andrzej Janik esitles ZLUDA projekti v\u00e4rskendust, mis arendab avatud CUDA tehnoloogia rakendust. Projekti eesm\u00e4rk on v\u00f5imaldada muutmata CUDA rakenduste k\u00e4ivitamist mitte-NVIDIA GPU-dega s\u00fcsteemides, pakkudes j\u00f5udlust, mis on l\u00e4hedane rakenduste k\u00e4itamisele ilma vahekihita. Projekti kood on jaotatud MIT ja Apache 2.0 litsentside all. 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