{"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\/sq\/blog\/novosti-interneta\/vypusk-zluda-4-universalnoj-realizaczii-tehnologii-cuda","title":{"rendered":"L\u00ebshimi i ZLUDA 4, implementimi universale i teknologjis\u00eb CUDA","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Andrzej Janik paraqiti p\u00ebrdit\u00ebsimin e projektit ZLUDA, q\u00eb zhvillon nj\u00eb implementim t\u00eb hapur t\u00eb teknologjis\u00eb CUDA. Q\u00ebllimi i projektit \u00ebsht\u00eb t\u00eb ofroj\u00eb mund\u00ebsin\u00eb e ekzekutimit t\u00eb aplikacioneve CUDA t\u00eb pa modifikuara n\u00eb sisteme me GPU q\u00eb nuk jan\u00eb NVIDIA, me performanc\u00eb af\u00ebr asaj t\u00eb aplikacioneve q\u00eb ekzekutohen pa shtesa. Kodi i projektit shp\u00ebrndahet n\u00ebn licencat MIT dhe Apache 2.0. <\/p>\n

ZLUDA 4 paraqitet si l\u00ebshimi i par\u00eb, i formuar pas pastrimit t\u00eb baz\u00ebs s\u00eb kodit nga kodi i zhvilluar gjat\u00eb pun\u00ebs s\u00eb Andrzej n\u00eb kompanin\u00eb AMD. Q\u00eb nga viti 2022, Andrzej punoi n\u00eb AMD p\u00ebr t\u00eb krijuar nj\u00eb shtres\u00eb p\u00ebr p\u00ebrputhshm\u00ebrin\u00eb e GPU-ve AMD me CUDA, por n\u00eb vitin 2024 projekti u ndal. N\u00eb p\u00ebrputhje me kushtet e kontrat\u00ebs dhe pas marrjes s\u00eb lejes p\u00ebr publikim nga nj\u00eb p\u00ebrfaq\u00ebsues i AMD, Andrzej hapi kodin e zhvillimeve t\u00eb krijuara gjat\u00eb periudh\u00ebs s\u00eb tij n\u00eb AMD, q\u00eb lejojn\u00eb ekzekutimin e aplikacioneve CUDA mbi stakun ROCm dhe runtime HIP (Heterogeneous-computing Interface for Portability). N\u00eb tetor, Andrzej u detyrua t\u00eb hiqte kodin nga akses i hapur pas nj\u00eb letre nga avokat\u00ebt, q\u00eb jepnin t\u00eb kuptohej se leja e dh\u00ebn\u00eb n\u00ebp\u00ebrmjet email-it nuk kishte forc\u00eb ligjore. <\/p>\n

Edi\u00e7ioni i ri i ZLUDA \u00ebsht\u00eb formuar mbi baz\u00ebn e kodit ekzistues para fillimit t\u00eb pun\u00ebs s\u00eb Andrzej n\u00eb AMD, nuk \u00ebsht\u00eb i lidhur me GPU specifik\u00eb dhe \u00ebsht\u00eb i p\u00ebrqendruar n\u00eb ekzekutimin e aplikacioneve q\u00eb p\u00ebrdorin CUDA p\u00ebr p\u00ebrshpejtimin e detyrave t\u00eb lidhura me m\u00ebsimin e makinave dhe inteligjenc\u00ebn artificiale. Projekti aktualisht \u00ebsht\u00eb i kufizuar n\u00eb funksionimin mbi GPU-t\u00eb AMD, por n\u00eb t\u00eb ardhmen do t\u00eb adaptohet p\u00ebr GPU-t\u00eb Intel. Publikimi ZLUDA 4 \u00ebsht\u00eb shkruar n\u00eb gjuh\u00ebn Rust dhe \u00ebsht\u00eb orientuar drejt ekzekutimit t\u00eb paket\u00ebs provuese Geekbench 5. <\/p>\n

Versioni i ri p\u00ebrfshin nj\u00eb parser t\u00eb ri p\u00ebr PTX, nj\u00eb gjuh\u00eb nd\u00ebrmjet\u00ebse q\u00eb p\u00ebrdoret n\u00eb GPU-t\u00eb NVIDIA. Publikimi gjithashtu \u00ebsht\u00eb i spikatur p\u00ebr shmangien e emulimit t\u00eb instruksioneve specifike p\u00ebr GPU-n\u00eb NVIDIA p\u00ebr inkrementimin dhe dekrementimin modular, t\u00eb cilat tani thirr\u00ebn instruksione t\u00eb ngjashme t\u00eb GPU-t\u00eb AMD. Ndryshimet e p\u00ebrmendura lejuan arritjen e nj\u00eb rritjeje t\u00eb performanc\u00ebs gjat\u00eb kalimit n\u00eb testin Geekbench prej rreth 10%, krahasuar me OpenCL dhe deg\u00ebn ZLUDA 3.

\"L\u00ebshimi<\/center>
\n
Burimi: 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\udd47L\u00ebshimi ZLUDA 4, implementimi universal i teknologjis\u00eb CUDA | ProHoster","description":"Andrzej Janik paraqiti p\u00ebrdit\u00ebsimin e projektit ZLUDA, q\u00eb zhvillon nj\u00eb implementim t\u00eb hapur t\u00eb teknologjis\u00eb CUDA. Q\u00ebllimi i projektit \u00ebsht\u00eb t\u00eb ofroj\u00eb mund\u00ebsin\u00eb e ekzekutimit t\u00eb aplikacioneve CUDA t\u00eb pa modifikuara n\u00eb sisteme me GPU q\u00eb nuk jan\u00eb NVIDIA, me performanc\u00eb af\u00ebr asaj t\u00eb aplikacioneve q\u00eb ekzekutohen pa shtesa. Kodi i projektit shp\u00ebrndahet n\u00ebn licencat MIT dhe Apache 2.0. 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