{"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\/pl\/blog\/news\/vypusk-zluda-4-universalnoj-realizaczii-tehnologii-cuda","title":{"rendered":"Wydanie ZLUDA 4, uniwersalnej implementacji technologii CUDA.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Andrzej Janik przedstawi\u0142 aktualizacj\u0119 projektu ZLUDA, rozwijaj\u0105cego otwart\u0105 realizacj\u0119 technologii CUDA. Celem projektu jest umo\u017cliwienie uruchamiania niemodyfikowanych aplikacji CUDA na systemach z GPU innymi ni\u017c GPU NVIDIA, z wydajno\u015bci\u0105 zbli\u017con\u0105 do wydajno\u015bci aplikacji uruchamianych bez warstw abstrakcyjnych. Kod projektu jest dystrybuowany na licencjach MIT i Apache 2.0. <\/p>\n

ZLUDA 4 jest przedstawiane jako pierwszy wyda, kt\u00f3ry powsta\u0142 po oczyszczeniu bazy kodu z element\u00f3w, kt\u00f3re powsta\u0142y podczas pracy Andrzeja w firmie AMD. Od 2022 roku Andrzej pracowa\u0142 w AMD nad stworzeniem warstwy umo\u017cliwiaj\u0105cej wsp\u00f3\u0142prac\u0119 GPU AMD z CUDA, ale w 2024 roku projekt zosta\u0142 wstrzymany. Zgodnie z warunkami umowy, a po uzyskaniu zgody na publikacj\u0119 od przedstawiciela AMD, Andrzej udost\u0119pni\u0142 kod prac wykonanych podczas pracy w AMD, kt\u00f3ry umo\u017cliwia uruchamianie aplikacji CUDA nad stosem ROCm i runtime HIP (Heterogeneous-computing Interface for Portability). W pa\u017adzierniku Andrzej musia\u0142 usun\u0105\u0107 kod z publicznego dost\u0119pu po otrzymaniu listu od prawnik\u00f3w, kt\u00f3rzy wskazali, \u017ce zgoda udzielona w wymianie e-mailowej nie ma mocy prawnej. <\/p>\n

Nowa wersja ZLUDA zosta\u0142a stworzona na podstawie bazy kodu istniej\u0105cej przed rozpocz\u0119ciem pracy Andrzeja w AMD, nie jest zwi\u0105zana z konkretnymi GPU i koncentruje si\u0119 na uruchamianiu aplikacji, kt\u00f3re wykorzystuj\u0105 CUDA do przyspieszania zada\u0144 zwi\u0105zanych z uczeniem maszynowym i sztuczn\u0105 inteligencj\u0105. Projekt obecnie ogranicza si\u0119 do pracy na GPU AMD, ale w przysz\u0142o\u015bci zostanie dostosowany do GPU Intel. Wydanie ZLUDA 4 jest napisane w j\u0119zyku Rust i skierowane na wykonanie zestawu testowego Geekbench 5. <\/p>\n

Nowa wersja zawiera nowy parser dla PTX, po\u015bredniego j\u0119zyka u\u017cywanego w GPU NVIDIA. Wydanie to jest r\u00f3wnie\u017c wa\u017cne z powodu odej\u015bcia od emulacji specyficznych dla GPU NVIDIA instrukcji inkrementacji i dekrementacji modulo, zamiast kt\u00f3rych s\u0105 teraz wywo\u0142ywane podobne instrukcje GPU AMD. Wprowadzone zmiany pozwoli\u0142y na osi\u0105gni\u0119cie wzrostu wydajno\u015bci podczas testu Geekbench o oko\u0142o 10% w por\u00f3wnaniu do OpenCL i ga\u0142\u0119zi ZLUDA 3.

\"Wydanie<\/center>
\n
\u0179r\u00f3d\u0142o: 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\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\udd47Wydanie ZLUDA 4, uniwersalnej realizacji technologii CUDA | ProHoster","description":"Andrzej Janik przedstawi\u0142 aktualizacj\u0119 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