{"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\/it\/blog\/novosti-interneta\/vypusk-zluda-4-universalnoj-realizaczii-tehnologii-cuda","title":{"rendered":"Rilascio di ZLUDA 4, implementazione universale della tecnologia CUDA","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Andrzej Janik ha presentato un aggiornamento del progetto ZLUDA, che sviluppa un'implementazione aperta della tecnologia CUDA. L'obiettivo del progetto \u00e8 fornire la possibilit\u00e0 di eseguire applicazioni CUDA non modificate su sistemi con GPU diverse dalle GPU NVIDIA, con performance paragonabili a quelle delle applicazioni eseguite senza strati aggiuntivi. Il codice del progetto \u00e8 distribuito con licenze MIT e Apache 2.0. <\/p>\n

ZLUDA 4 viene presentato come il primo rilascio, creato dopo la pulizia della base di codice dal codice sviluppato durante il periodo di Andrzej in AMD. Dal 2022, Andrzej ha lavorato in AMD alla creazione di uno strato per la compatibilit\u00e0 delle GPU AMD con CUDA, ma nel 2024 il progetto \u00e8 stato interrotto. In conformit\u00e0 con i termini del contratto e dopo aver ottenuto il permesso di pubblicazione da un rappresentante di AMD, Andrzej ha reso pubblico il codice delle lavorazioni realizzate durante il suo periodo in AMD, permettendo l'esecuzione di applicazioni CUDA sopra il stack ROCm e il runtime HIP (Heterogeneous-computing Interface for Portability). In ottobre, Andrzej \u00e8 stato costretto a rimuovere il codice dall'accesso pubblico dopo una lettera da parte degli avvocati, che hanno fatto capire che il permesso ottenuto via email non ha valore legale. <\/p>\n

La nuova versione di ZLUDA \u00e8 stata creata sulla base di un codice sorgente esistente, antecedente all'inizio del lavoro di Andrzej in AMD. Non \u00e8 legata a GPU specifiche ed \u00e8 focalizzata sull'esecuzione di applicazioni che utilizzano CUDA per accelerare i compiti legati al machine learning e all'intelligenza artificiale. Il progetto attualmente \u00e8 limitato a lavorare su GPU AMD, ma in futuro sar\u00e0 adattato per GPU Intel. Il rilascio di ZLUDA 4 \u00e8 scritto in Rust e si concentra sull'esecuzione del benchmark Geekbench 5. <\/p>\n

La nuova versione include un nuovo parser per PTX, il linguaggio intermedio utilizzato nelle GPU NVIDIA. Il rilascio \u00e8 anche notevole per l'abbandono dell'emulazione delle istruzioni specifiche delle GPU NVIDIA per l'incremento e il decremento modulo, sostituite ora da istruzioni analoghe delle GPU AMD. Questi cambiamenti hanno consentito un aumento delle prestazioni nel benchmark Geekbench di circa il 10% rispetto a OpenCL e alla versione ZLUDA 3.

\"Rilascio<\/center>
\n
Fonte: 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-novosti-interneta"],"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\udd47Rilascio di ZLUDA 4, implementazione universale della tecnologia CUDA | ProHoster","description":"Andrzej Janik ha presentato un aggiornamento del progetto ZLUDA, che sviluppa un'implementazione open source della tecnologia CUDA. 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