{"id":55570,"date":"2020-01-23T00:00:00","date_gmt":"2020-01-22T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/intel-vypustil-dvizhok-raspredelyonnoj-trassirovki-luchej-ospray-2-0"},"modified":"2020-02-18T14:03:42","modified_gmt":"2020-02-18T11:03:42","slug":"intel-vypustil-dvizhok-raspredelyonnoj-trassirovki-luchej-ospray-2-0","status":"publish","type":"post","link":"https:\/\/prohoster.info\/fr\/blog\/news\/intel-vypustil-dvizhok-raspredelyonnoj-trassirovki-luchej-ospray-2-0","title":{"rendered":"Intel a lanc\u00e9 le moteur de tra\u00e7age de rayons distribu\u00e9 OSPRay 2.0","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

La soci\u00e9t\u00e9 Intel pr\u00e9sent\u00e9e<\/a><\/noindex> lancement significatif d'un moteur de rendu 3D \u00e9volutif OSPRay 2.0<\/a><\/noindex>, con\u00e7u pour une visualisation r\u00e9aliste de haute qualit\u00e9 par tra\u00e7age de rayons, adapt\u00e9 \u00e0 une utilisation dans des applications interactives. Le moteur est d\u00e9velopp\u00e9 dans le cadre d'un projet plus vaste Intel Rendering Framework<\/a><\/noindex>, visant \u00e0 d\u00e9velopper des outils de visualisation logicielle des calculs scientifiques SDVis<\/a><\/noindex> (Visualisation D\u00e9finie par Logiciel), comprenant une biblioth\u00e8que de tra\u00e7age de rayons Embree<\/a><\/noindex>, un syst\u00e8me de rendu photor\u00e9aliste GLuRay<\/a><\/noindex>, une biblioth\u00e8que pour la r\u00e9duction du bruit dans les images oidn (Open Image Denoise)<\/a><\/noindex> et un syst\u00e8me de rasterisation logicielle OpenSWR<\/a><\/noindex>. Le code est \u00e9crit en C++ et publi\u00e9e<\/a><\/noindex> sous licence Apache 2.0.<\/p>\n

OSPRay est principalement destin\u00e9 \u00e0 \u00eatre utilis\u00e9 dans des applications interactives pour le rendu temps r\u00e9el de sc\u00e8nes. Pour simuler le comportement de la lumi\u00e8re, la m\u00e9thode de tra\u00e7age de chemin<\/a><\/noindex>. La visualisation est support\u00e9e en volume et sur une surface, avec un \u00e9clairage global photor\u00e9aliste tenant compte des propri\u00e9t\u00e9s physiques des mat\u00e9riaux, des effets d'ombre avanc\u00e9s (ombres, transparence et occlusion)<\/a><\/noindex> en tenant compte des propri\u00e9t\u00e9s physiques des mat\u00e9riaux, des effets d'ombre avanc\u00e9s (ombres, transparence et ombrage \u00ab. OSPRay utilise uniquement les capacit\u00e9s du CPU, sans \u00eatre li\u00e9 au GPU, ce qui permet d'utiliser la biblioth\u00e8que sur un large \u00e9ventail de dispositifs, des stations de travail aux n\u0153uds dans des clusters de calcul. Pour garantir des performances ad\u00e9quates, la multithreading et la vectorisation bas\u00e9es sur des instructions SIMD, telles que Intel SSE4, AVX, AVX2 et AVX-512, sont largement utilis\u00e9es (un support SSE4.1 minimum est requis pour faire fonctionner OSPRay).<\/a><\/noindex>\u00bb).<\/p>\n

Le rendu peut \u00eatre r\u00e9parti sur plusieurs n\u0153uds de cluster (MPI support\u00e9), ce qui permet par exemple d'utiliser OSPRay pour organiser le rendu d'une image \u00e0 tr\u00e8s haute r\u00e9solution sur <\/p>\n

des murs d'images , une seule image \u00e9tant constitu\u00e9e d'un ensemble de panneaux LCD distincts. Par exemple, le fonctionnement d'OSPRay a \u00e9t\u00e9 d\u00e9montr\u00e9 sur un \u00e9cran composite<\/a><\/noindex>Stallion , constitu\u00e9 de 80 moniteurs de 30 pouces (r\u00e9solution totale de 40960\u00d78000 ou 328 m\u00e9gapixels) et g\u00e9r\u00e9 par un cluster de 40 serveurs avec des CPU \u00e0 6 c\u0153urs bas\u00e9s sur l'architecture micro Intel Sandy Bridge.<\/a><\/noindex>, compos\u00e9 de 80 moniteurs de 30 pouces (r\u00e9solution totale de 40960×8000 ou 328 m\u00e9gapixels) et g\u00e9r\u00e9 par un cluster de 40 serveurs avec des CPU \u00e0 6 c\u0153urs bas\u00e9s sur l'architecture micro Intel Sandy Bridge. <\/p>\n

\"Intel<\/a><\/noindex><\/center><\/p>\n

Le changement significatif du num\u00e9ro de version est d\u00fb \u00e0 une refonte majeure de l'API, y compris des modifications entra\u00eenant des ruptures de compatibilit\u00e9 (pour faciliter la transition vers la nouvelle API, une biblioth\u00e8que d'interfa\u00e7age a \u00e9t\u00e9 propos\u00e9e pour lisser la migration) et l'ajout de nouveaux types g\u00e9om\u00e9triques. Le support pour Open VKL (Open Volume Kernel Library) a \u00e9t\u00e9 ajout\u00e9 pour le rendu volum\u00e9trique. La possibilit\u00e9 de connexion a \u00e9t\u00e9 mise en \u0153uvre du module<\/a><\/noindex> pour la suppression du bruit sur l'image. La biblioth\u00e8que ospcommon et le module de support MPI ont \u00e9t\u00e9 d\u00e9plac\u00e9s dans des r\u00e9f\u00e9rentiels s\u00e9par\u00e9s.<\/p>\n

\"Intel<\/a><\/noindex><\/center>
\n
\"Intel<\/a><\/noindex><\/center>
\n
\"Intel<\/a><\/noindex><\/center><\/p>\n

<\/a><\/noindex><\/p>\n

Source : opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Intel \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u0437\u043d\u0430\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0432\u044b\u043f\u0443\u0441\u043a \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0438\u0440\u0443\u0435\u043c\u043e\u0433\u043e \u0434\u0432\u0438\u0436\u043a\u0430 3D-\u0440\u0435\u043d\u0434\u0435\u0440\u0438\u043d\u0433\u0430 OSPRay 2.0, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u043e\u0433\u043e \u0434\u043b\u044f \u0440\u0435\u0430\u043b\u0438\u0441\u0442\u0438\u0447\u043d\u043e\u0439 \u0432\u044b\u0441\u043e\u043a\u043e\u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0439 \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u043c\u0435\u0442\u043e\u0434\u043e\u043c \u0442\u0440\u0430\u0441\u0441\u0438\u0440\u043e\u0432\u043a\u0438 \u043b\u0443\u0447\u0435\u0439, \u043f\u0440\u0438\u0433\u043e\u0434\u043d\u043e\u0439 \u0434\u043b\u044f \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0432 \u0438\u043d\u0442\u0435\u0440\u0430\u043a\u0442\u0438\u0432\u043d\u044b\u0445 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u044f\u0445. \u0414\u0432\u0438\u0436\u043e\u043a \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u043a\u0430\u043a \u0447\u0430\u0441\u0442\u044c \u0431\u043e\u043b\u0435\u0435 \u043a\u0440\u0443\u043f\u043d\u043e\u0433\u043e \u043f\u0440\u043e\u0435\u043a\u0442\u0430 Intel Rendering Framework, \u043d\u0430\u0446\u0435\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u043d\u0430 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0443 \u0441\u0440\u0435\u0434\u0441\u0442\u0432 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0439 \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u043d\u0430\u0443\u0447\u043d\u044b\u0445 \u0440\u0430\u0441\u0447\u0451\u0442\u043e\u0432 SDVis (Software Defined Visualization), \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0449\u0438\u0445 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0443 \u0442\u0440\u0430\u0441\u0441\u0438\u0440\u043e\u0432\u043a\u0438 \u043b\u0443\u0447\u0435\u0439 Embree, \u0441\u0438\u0441\u0442\u0435\u043c\u0443 \u0444\u043e\u0442\u043e\u0440\u0435\u0430\u043b\u0438\u0441\u0442\u0438\u0447\u043d\u043e\u0439 \u043e\u0442\u0440\u0438\u0441\u043e\u0432\u043a\u0438 GLuRay, 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