{"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\/sq\/blog\/novosti-interneta\/vypusk-zluda-5-universalnoj-otkrytoj-realizaczii-tehnologii-cuda","title":{"rendered":"L\u00ebshimi i ZLUDA 5, nj\u00eb implementim universale i hapur i teknologjis\u00eb CUDA","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Andrzej Janik prezantoi versionin ZLUDA 5, nj\u00eb implementim t\u00eb hapur t\u00eb teknologjis\u00eb CUDA. Q\u00ebllimi i projektit \u00ebsht\u00eb t\u00eb mund\u00ebsoj\u00eb ekzekutimin e aplikacioneve CUDA t\u00eb pa modifikuara n\u00eb sisteme me GPU t\u00eb ndryshme nga GPU-t\u00eb NVIDIA, me performanc\u00eb t\u00eb ngjashme me at\u00eb t\u00eb aplikacioneve q\u00eb funksionojn\u00eb pa shtresa. Kodi i projektit \u00ebsht\u00eb shkruar n\u00eb gjuh\u00ebn Rust dhe shp\u00ebrndahet n\u00ebn licencat MIT dhe Apache 2.0.       <\/p>\n<p>ZLUDA 5 b\u00ebri nj\u00eb p\u00ebrparim t\u00eb r\u00ebnd\u00ebsish\u00ebm n\u00eb projekt, i formuar pas pastrimit t\u00eb baz\u00ebs s\u00eb kodit nga kodet e zhvilluara gjat\u00eb pun\u00ebs s\u00eb Andrzejt 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 kompatibilitetin e GPU-ve AMD me CUDA, por n\u00eb vitin 2024 projekti u mbyll. Sipas kushteve t\u00eb kontrat\u00ebs dhe pas marrjes s\u00eb lejes p\u00ebr publikim nga p\u00ebrfaq\u00ebsuesi i AMD, Andrzej publikoi kodin e zhvillimeve t\u00eb kryera gjat\u00eb koh\u00ebs s\u00eb tij n\u00eb AMD q\u00eb lejojn\u00eb ekzekutimin e aplikacioneve CUDA mbi arkitektur\u00ebn ROCm dhe runtime HIP (Heterogeneous-computing Interface for Portability).     <\/p>\n<p>Vitne e kaluar, Andzhej ishte i detyruar t\u00eb hiqte kodin nga qasja e hapur pas nj\u00eb letre nga avokat\u00ebt, t\u00eb cil\u00ebt sqaruan se leja e dh\u00ebn\u00eb gjat\u00eb komunikimit p\u00ebr email nuk kishte forc\u00eb ligjore. Pas k\u00ebsaj, Andzhej filloi pun\u00ebn mbi nj\u00eb version t\u00eb ri t\u00eb ZLUDA, i formuar mbi baz\u00ebn e kodit q\u00eb ekzistonte para fillimit t\u00eb pun\u00ebs s\u00eb Andzhej n\u00eb AMD. N\u00eb form\u00ebn aktuale, zhvillimi fokusohet n\u00eb realizimin e aplikacioneve q\u00eb p\u00ebrdorin CUDA p\u00ebr t\u00eb p\u00ebrshpejtuar detyrat e lidhura me m\u00ebsimin e makinerive. Projekti aktualisht \u00ebsht\u00eb i kufizuar n\u00eb pun\u00ebn mbi GPU-t\u00eb AMD, por m\u00eb von\u00eb do t\u00eb adaptohet p\u00ebr GPU-t\u00eb Intel.       <\/p>\n<p>P\u00ebrmir\u00ebsime kryesore n\u00eb versionin e ri:  <\/p>\n<ul>\n<li class=\"l\"> Shtuar mb\u00ebshtetje fillestare p\u00ebr ekzekutimin mbi ZLUDA t\u00eb kornizave llm.c, Llama.cpp dhe PyTorch p\u00ebr t\u00eb realizuar modele t\u00eb m\u00ebdha gjuh\u00ebsore duke p\u00ebrdorur optimizime CUDA p\u00ebr GPU-t\u00eb NVIDIA.\n<li class=\"l\"> Implementuar mb\u00ebshtetje fillestare p\u00ebr ekzekutimin e aplikacioneve q\u00eb p\u00ebrdorin biblioteka si cuBLAS, cuBLASLt dhe nvml p\u00ebr t\u00eb rritur performanc\u00ebn.\n<li class=\"l\"> Shtuar nj\u00eb shtres\u00eb zluda_trace p\u00ebr gjurmimin e aplikacioneve q\u00eb p\u00ebrdorin CUDA. Me ndihm\u00ebn e zluda_trace, mund t\u00eb diagnostikoni probleme dhe t\u00eb identifikoni mang\u00ebsi n\u00eb ZLUDA q\u00eb pengojn\u00eb ekzekutimin normal t\u00eb aplikacionit.\n<li class=\"l\"> Nj\u00eb utilitar komandash zoc (ZLUDA offline compiler) \u00ebsht\u00eb paraqitur, i cili lejon kompilimin e skedave me udh\u00ebzime NVIDIA PTX n\u00eb nj\u00eb p\u00ebrfaq\u00ebsim t\u00eb nd\u00ebrmjet\u00ebm AMD RDNA (m\u00eb par\u00eb kjo funksionalitet ishte n\u00eb dispozicion n\u00eb form\u00ebn e funksioneve t\u00eb bibliotek\u00ebs).\n<li class=\"l\"> N\u00eb bootloader-in e moduleve PTX \u00ebsht\u00eb implementuar nj\u00eb mekaniz\u00ebm ndihm\u00ebs p\u00ebr t\u00eb mbajtur cache t\u00eb b\u00ebrthamave q\u00eb ekzekutohen n\u00eb GPU. Cache-i ndihmon p\u00ebr t\u00eb shmangur p\u00ebrs\u00ebritjen e ekzekutimit t\u00eb operacioneve t\u00eb konsumit t\u00eb lart\u00eb t\u00eb burimeve p\u00ebr kompilimin e udh\u00ebzimeve PTX (Ekzekutimi i Thread-eve Parazgjedh\u00ebse) n\u00eb kodin maqinar p\u00ebr nj\u00eb GPU t\u00eb caktuar.<br \/>\n<br \/>Burimi: <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-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 \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. 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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 nga NVIDIA, me performanc\u00eb t\u00eb ngjashme me aplikacionet q\u00eb ekzekutohen pa nd\u00ebrmjet\u00ebs. Kodi i projektit \u00ebsht\u00eb shkruar n\u00eb gjuh\u00ebn Rust dhe shp\u00ebrndahet n\u00ebn licencat MIT dhe Apache 2.0. 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