{"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\/news\/vypusk-zluda-5-universalnoj-otkrytoj-realizaczii-tehnologii-cuda","title":{"rendered":"Publikohet ZLUDA 5, nj\u00eb implementim universal me burim t\u00eb hapur i teknologjis\u00eb CUDA","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Andrzej Janik prezantoi publikimin e ZLUDA 5, nj\u00eb implementim me burim t\u00eb hapur i teknologjis\u00eb CUDA. Q\u00ebllimi i projektit \u00ebsht\u00eb t\u00eb mund\u00ebsoj\u00eb ekzekutimin e aplikacioneve CUDA t\u00eb pamodifikuara n\u00eb sisteme me GPU t\u00eb ndryshme nga GPU NVIDIA, me performanc\u00eb t\u00eb af\u00ebrt me at\u00eb t\u00eb aplikacioneve q\u00eb ekzekutohen pa shtresa nd\u00ebrmjet\u00ebse. Kodi i projektit \u00ebsht\u00eb shkruar n\u00eb gjuh\u00ebn Rust dhe shp\u00ebrndahet sipas licencave MIT dhe Apache 2.0.       <\/p>\n<p>ZLUDA 5 u b\u00eb publikimi i dyt\u00eb i r\u00ebnd\u00ebsish\u00ebm i projektit, i p\u00ebrgatitur pas pastrimit t\u00eb baz\u00ebs s\u00eb kodit nga kodi i zhvilluar gjat\u00eb pun\u00ebs s\u00eb Andrzej n\u00eb AMD. Q\u00eb nga viti 2022, Andrzej punoi n\u00eb AMD p\u00ebr krijimin e nj\u00eb shtrese p\u00ebr p\u00ebrputhshm\u00ebrin\u00eb e GPU AMD me CUDA, por n\u00eb vitin 2024 projekti u nd\u00ebrpre. N\u00eb p\u00ebrputhje me kushtet e kontrat\u00ebs dhe pasi mori lejen p\u00ebr publikim nga nj\u00eb p\u00ebrfaq\u00ebsues i AMD, Andrzej hapi kodin e pun\u00ebs s\u00eb zhvilluar gjat\u00eb koh\u00ebs s\u00eb tij n\u00eb AMD, i cili lejon ekzekutimin e aplikacioneve CUDA mbi stack-un ROCm dhe runtime HIP (Heterogeneous-computing Interface for Portability).     <\/p>\n<p>Vitin e kaluar, Andrzej u detyrua ta hiqte kodin nga qasja publike pas nj\u00eb letre nga jurist\u00ebt, t\u00eb cil\u00ebt e b\u00ebn\u00eb t\u00eb qart\u00eb se leja e dh\u00ebn\u00eb gjat\u00eb korrespondenc\u00ebs me email nuk kishte fuqi juridike. Pas k\u00ebsaj, Andrzej nisi pun\u00ebn p\u00ebr nj\u00eb version t\u00eb ri t\u00eb ZLUDA, t\u00eb nd\u00ebrtuar mbi baz\u00ebn e kodit q\u00eb ekzistonte p\u00ebrpara se ai t\u00eb fillonte pun\u00ebn n\u00eb AMD. N\u00eb form\u00ebn aktuale, zhvillimi \u00ebsht\u00eb p\u00ebrqendruar te ekzekutimi i aplikacioneve q\u00eb p\u00ebrdorin CUDA p\u00ebr t\u00eb p\u00ebrshpejtuar detyra t\u00eb lidhura me machine learning. Projekti aktualisht kufizohet te puna me GPU AMD, por n\u00eb t\u00eb ardhmen do t\u00eb p\u00ebrshtatet edhe p\u00ebr GPU Intel.       <\/p>\n<p>P\u00ebrmir\u00ebsimet kryesore n\u00eb versionin e ri:  <\/p>\n<ul>\n<li class=\"l\"> \u00cbsht\u00eb shtuar mb\u00ebshtetja fillestare p\u00ebr ekzekutimin mbi ZLUDA t\u00eb framework-eve llm.c, Llama.cpp dhe PyTorch p\u00ebr p\u00ebrdorimin e modeleve t\u00eb m\u00ebdha gjuh\u00ebsore me optimizimet CUDA t\u00eb aplikuara p\u00ebr GPU NVIDIA.\n<li class=\"l\"> \u00cbsht\u00eb implementuar mb\u00ebshtetja fillestare p\u00ebr nisjen e aplikacioneve q\u00eb p\u00ebrdorin bibliotekat cuBLAS, cuBLASLt dhe nvml p\u00ebr rritjen e performanc\u00ebs.\n<li class=\"l\"> \u00cbsht\u00eb shtuar shtresa zluda_trace p\u00ebr gjurmimin e aplikacioneve q\u00eb p\u00ebrdorin CUDA. Me ndihm\u00ebn e zluda_trace mund t\u00eb diagnostikohen problemet dhe t\u00eb identifikohen mang\u00ebsit\u00eb n\u00eb ZLUDA q\u00eb pengojn\u00eb ekzekutimin normal t\u00eb aplikacionit.\n<li class=\"l\"> \u00cbsht\u00eb prezantuar utilitari i linj\u00ebs s\u00eb komand\u00ebs zoc (ZLUDA offline compiler), i cili mund\u00ebson kompilimin e skedar\u00ebve me udh\u00ebzime NVIDIA PTX n\u00eb paraqitjen e nd\u00ebrmjetme AMD RDNA (m\u00eb par\u00eb ky funksionalitet ishte i disponuesh\u00ebm n\u00eb form\u00ebn e funksioneve t\u00eb bibliotek\u00ebs).\n<li class=\"l\"> N\u00eb ngarkuesin e moduleve PTX \u00ebsht\u00eb zbatuar nj\u00eb mekaniz\u00ebm p\u00ebr ruajtjen n\u00eb cache t\u00eb kernel\u00ebve q\u00eb ekzekutohen n\u00eb GPU. Cache-i b\u00ebn t\u00eb mundur shmangien e ekzekutimit t\u00eb p\u00ebrs\u00ebritur t\u00eb operacioneve me kosto t\u00eb lart\u00eb t\u00eb kompilimit t\u00eb udh\u00ebzimeve PTX (Parallel Thread Execution) n\u00eb kod makinerie p\u00ebr GPU-n\u00eb p\u00ebrkat\u00ebse.<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-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - 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.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" 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