{"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\/pt\/blog\/news\/vypusk-zluda-5-universalnoj-otkrytoj-realizaczii-tehnologii-cuda","title":{"rendered":"Lan\u00e7amento do ZLUDA 5, uma implementa\u00e7\u00e3o aberta universal da tecnologia CUDA","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Andrzej Janik apresentou a vers\u00e3o ZLUDA 5, uma implementa\u00e7\u00e3o aberta da tecnologia CUDA. O objetivo do projeto \u00e9 permitir a execu\u00e7\u00e3o de aplicativos CUDA n\u00e3o modificados em sistemas com GPUs diferentes das GPUs NVIDIA, com desempenho pr\u00f3ximo ao de aplicativos executados sem intermedi\u00e1rios. O c\u00f3digo do projeto \u00e9 escrito na linguagem Rust e \u00e9 distribu\u00eddo sob as licen\u00e7as MIT e Apache 2.0.       <\/p>\n<p>ZLUDA 5 se tornou a segunda vers\u00e3o significativa do projeto, formada ap\u00f3s a limpeza da base de c\u00f3digo removendo o c\u00f3digo desenvolvido durante o trabalho de Andrzej na AMD. Desde 2022, Andrzej trabalhou na AMD para criar uma camada de compatibilidade entre GPUs AMD e CUDA, mas em 2024 o projeto foi encerrado. De acordo com os termos do contrato e ap\u00f3s receber permiss\u00e3o para publica\u00e7\u00e3o de um representante da AMD, Andrzej tornou p\u00fablico o c\u00f3digo dos trabalhos realizados durante sua estadia na AMD, que permite a execu\u00e7\u00e3o de aplicativos CUDA sobre a pilha ROCm e o runtime HIP (Heterogeneous-computing Interface for Portability).     <\/p>\n<p>No ano passado, Andrzej foi for\u00e7ado a remover o c\u00f3digo do acesso aberto ap\u00f3s receber uma carta de advogados que deixaram claro que a permiss\u00e3o dada em correspond\u00eancia por e-mail n\u00e3o tinha validade legal. Ap\u00f3s isso, Andrzej come\u00e7ou a trabalhar em uma nova edi\u00e7\u00e3o do ZLUDA, formada a partir da base de c\u00f3digo existente antes do in\u00edcio de seu trabalho na AMD. No estado atual, o desenvolvimento est\u00e1 focado na execu\u00e7\u00e3o de aplicativos que utilizam CUDA para acelerar tarefas relacionadas ao aprendizado de m\u00e1quina. O projeto atualmente \u00e9 limitado ao funcionamento em GPUs AMD, mas ser\u00e1 adaptado no futuro para GPUs Intel.       <\/p>\n<p>Principais melhorias na nova vers\u00e3o:  <\/p>\n<ul>\n<li class=\"l\"> Adicionada a suporte inicial para a execu\u00e7\u00e3o de frameworks llm.c, Llama.cpp e PyTorch sobre ZLUDA para a execu\u00e7\u00e3o de grandes modelos de linguagem utilizando otimiza\u00e7\u00f5es CUDA aplicadas para GPUs NVIDIA.\n<li class=\"l\"> Implementado o suporte inicial para a execu\u00e7\u00e3o de aplicativos que utilizam as bibliotecas cuBLAS, cuBLASLt e nvml para melhorar o desempenho.\n<li class=\"l\"> Adicionada a camada zluda_trace para rastreamento de aplicativos que utilizam CUDA. Com zluda_trace, \u00e9 poss\u00edvel diagnosticar problemas e identificar defici\u00eancias no ZLUDA que impedem a execu\u00e7\u00e3o normal do aplicativo.\n<li class=\"l\"> Foi apresentada a ferramenta de linha de comando zoc (compilador offline ZLUDA), que permite compilar arquivos com instru\u00e7\u00f5es NVIDIA PTX para uma representa\u00e7\u00e3o intermedi\u00e1ria AMD RDNA (anteriormente, essa funcionalidade estava dispon\u00edvel na forma de fun\u00e7\u00f5es de biblioteca).\n<li class=\"l\"> No carregador de m\u00f3dulos PTX, foi implementado um mecanismo de cache para n\u00facleos executados na GPU. O caching evita a reexecu\u00e7\u00e3o de opera\u00e7\u00f5es de compila\u00e7\u00e3o de instru\u00e7\u00f5es PTX (Parallel Thread Execution) que consomem muitos recursos em c\u00f3digo de m\u00e1quina para uma GPU espec\u00edfica.<br \/>\n<br \/>Fonte: <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 5.0.3 - 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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