{"id":112354,"date":"2023-12-20T03:10:28","date_gmt":"2023-12-20T01:10:28","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/reliz-pocl-5-0-s-nezavisimoj-realizacziej-standarta-opencl"},"modified":"2023-12-20T03:10:28","modified_gmt":"2023-12-20T01:10:28","slug":"reliz-pocl-5-0-s-nezavisimoj-realizacziej-standarta-opencl","status":"publish","type":"post","link":"https:\/\/prohoster.info\/fr\/blog\/news\/reliz-pocl-5-0-s-nezavisimoj-realizacziej-standarta-opencl","title":{"rendered":"Publication de PoCL 5.0 avec une impl\u00e9mentation ind\u00e9pendante de la norme OpenCL","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>La version du projet PoCL 5.0 (Portable Computing Language OpenCL) a \u00e9t\u00e9 publi\u00e9e, d\u00e9veloppant une impl\u00e9mentation de la norme OpenCL, ind\u00e9pendante des fabricants de processeurs graphiques et permettant d'utiliser diff\u00e9rents backends pour ex\u00e9cuter des noyaux OpenCL sur divers types de processeurs graphiques et centraux. Le code du projet est distribu\u00e9 sous la licence MIT. Il prend en charge les plateformes X86_64, MIPS32, ARM v7, AMD HSA APU, GPU NVIDIA et divers processeurs ASIP (Application-Specific Instruction-set Processor) et TTA (Transport Triggered Architecture) avec une architecture VLIW.    <\/p>\n<p>L'impl\u00e9mentation du compilateur de noyaux OpenCL est bas\u00e9e sur LLVM, et Clang est utilis\u00e9 comme frontend pour OpenCL C. Pour garantir une portabilit\u00e9 et des performances ad\u00e9quates, le compilateur de noyaux OpenCL peut g\u00e9n\u00e9rer des fonctions combin\u00e9es, qui peuvent utiliser diff\u00e9rentes ressources mat\u00e9rielles pour le parall\u00e9lisme d'ex\u00e9cution du code, telles que VLIW, superscalaire, SIMD, SIMT, multicoeur et multithreading. Le support des pilotes ICD (Installable Client Driver) est \u00e9galement disponible. Des backends sont pr\u00e9sents pour assurer un fonctionnement via le CPU, ASIP (TCE\/TTA), GPU bas\u00e9 sur l'architecture HSA et GPU NVIDIA (via libcuda).     <\/p>\n<p>Dans la nouvelle version :  <\/p>\n<ul>\n<li class=\"l\"> Un nouveau backend \u00ab Remote \u00bb a \u00e9t\u00e9 mis en \u0153uvre, destin\u00e9 \u00e0 organiser des calculs distribu\u00e9s en d\u00e9l\u00e9guant le traitement des commandes OpenCL \u00e0 d'autres h\u00f4tes du r\u00e9seau sur lesquels un processus en arri\u00e8re-plan pocld est en cours d'ex\u00e9cution.\n<li class=\"l\"> Le pilote CUDA a impl\u00e9ment\u00e9 des fonctionnalit\u00e9s suppl\u00e9mentaires et des extensions OpenCL 3.0, telles que des op\u00e9rations atomiques, des variables \u00e0 port\u00e9e limit\u00e9e, des sous-groupes intel_sub_group_shuffle, intel_sub_group_shuffle_xor, get_sub_group_local_id, sub_group_barrier et sub_group_ballot.\n<li class=\"l\"> Le support du CPU bas\u00e9 sur l'architecture RISC-V a \u00e9t\u00e9 am\u00e9lior\u00e9. Le fonctionnement de PoCL a \u00e9t\u00e9 test\u00e9 sur la carte Starfive VisionFive 2 avec l'environnement Ubuntu 23.10, utilisant LLVM 17 et GCC 13.2.\n<li class=\"l\"> L'extension cl_ext_float_atomics a \u00e9t\u00e9 r\u00e9alis\u00e9e avec le support de FP32 et FP64.\n<li class=\"l\"> L'impl\u00e9mentation de l'extension cl_khr_command_buffer a \u00e9t\u00e9 mise \u00e0 jour vers la version 0.9.4.\n<li class=\"l\"> Un backend exp\u00e9rimental AlmaIF pour FPGA a \u00e9t\u00e9 propos\u00e9.\n<li class=\"l\"> Le support non termin\u00e9 du langage interm\u00e9diaire de shaders SPIR 1.x\/2.0 a \u00e9t\u00e9 supprim\u00e9. SPIR-V a \u00e9t\u00e9 d\u00e9sign\u00e9 comme le langage interm\u00e9diaire de shaders recommand\u00e9.\n<li class=\"l\"> Le support de Clang\/LLVM 17.0 a \u00e9t\u00e9 ajout\u00e9. Le support de Clang\/LLVM 10-13 a \u00e9t\u00e9 d\u00e9clar\u00e9 obsol\u00e8te.       <\/ul>\n<p>Source : <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=60316\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u0440\u0435\u043b\u0438\u0437 \u043f\u0440\u043e\u0435\u043a\u0442\u0430 PoCL 5.0 (Portable Computing Language OpenCL), \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0435\u0433\u043e \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044e \u0441\u0442\u0430\u043d\u0434\u0430\u0440\u0442\u0430 OpenCL, \u043d\u0435\u0437\u0430\u0432\u0438\u0441\u0438\u043c\u0443\u044e \u043e\u0442 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u0435\u0439 \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0443\u0441\u043a\u043e\u0440\u0438\u0442\u0435\u043b\u0435\u0439 \u0438 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0443\u044e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0435 \u0431\u044d\u043a\u0435\u043d\u0434\u044b \u0434\u043b\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f OpenCL-\u044f\u0434\u0435\u0440 \u043d\u0430 \u0440\u0430\u0437\u043d\u044b\u0445 \u0442\u0438\u043f\u0430\u0445 \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0438 \u0446\u0435\u043d\u0442\u0440\u0430\u043b\u044c\u043d\u044b\u0445 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u043e\u0432. \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\u0435\u0439 MIT. \u041f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u0440\u0430\u0431\u043e\u0442\u0430 \u043d\u0430 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0430\u0445 X86_64, MIPS32, ARM v7, AMD HSA APU, NVIDIA GPU \u0438 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0445 [&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-112354","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=\"\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d 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PoCL 5.0 \u0441 \u043d\u0435\u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0439 \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0435\u0439 \u0441\u0442\u0430\u043d\u0434\u0430\u0440\u0442\u0430 OpenCL | ProHoster","og:description":"\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u0440\u0435\u043b\u0438\u0437 \u043f\u0440\u043e\u0435\u043a\u0442\u0430 PoCL 5.0 (Portable Computing Language OpenCL), \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0435\u0433\u043e \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044e \u0441\u0442\u0430\u043d\u0434\u0430\u0440\u0442\u0430 OpenCL, \u043d\u0435\u0437\u0430\u0432\u0438\u0441\u0438\u043c\u0443\u044e \u043e\u0442 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u0435\u0439 \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0443\u0441\u043a\u043e\u0440\u0438\u0442\u0435\u043b\u0435\u0439 \u0438 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0443\u044e 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