{"id":89366,"date":"2025-12-03T16:05:55","date_gmt":"2025-12-03T21:05:55","guid":{"rendered":"https:\/\/mayahtt.com\/?p=89366"},"modified":"2025-12-03T16:09:01","modified_gmt":"2025-12-03T21:09:01","slug":"simulation-optimisee-par-gpu-vitesse-sans-compromis","status":"publish","type":"post","link":"https:\/\/www.mayahtt.com\/fr\/blog\/simulation-optimisee-par-gpu-vitesse-sans-compromis\/","title":{"rendered":"Simulation optimis\u00e9e par GPU\u00a0: la vitesse sans compromis"},"content":{"rendered":"<p>Les ing\u00e9nieurs en astronautique ne connaissent que trop bien ce probl\u00e8me\u00a0: D\u2019une part, ils ont besoin de mod\u00e8les d\u00e9taill\u00e9s pour obtenir des r\u00e9sultats pr\u00e9cis. D\u2019autre part, ils doivent agir rapidement, toujours plus vite qu\u2019auparavant.<\/p>\n<p>Est-il possible de trouver un \u00e9quilibre ? Peut-\u00eatre.<\/p>\n<p>Mais que se passe-t-il lorsque le juste milieu entre rapidit\u00e9 et pr\u00e9cision n\u2019est pas suffisant ?<\/p>\n<h2>Quand l&rsquo;abstraction se brise : le besoin de nouveaux outils de simulation spatiale<\/h2>\n<p>Les m\u00e9thodes de calcul traditionnelles ne peuvent pas g\u00e9rer efficacement la complexit\u00e9 des mod\u00e8les CAO d\u00e9taill\u00e9s. Jusqu\u2019\u00e0 pr\u00e9sent, une des solutions courantes est d\u2019utiliser l\u2019abstraction. Mais cela a un co\u00fbt.<\/p>\n<p>Bien que la simplification de la g\u00e9om\u00e9trie du mod\u00e8le acc\u00e9l\u00e8re l\u2019analyse, elle conduit \u00e0 des r\u00e9sultats moins pr\u00e9cis. En d\u2019autres termes, vous allez peut-\u00eatre plus vite, mais vous risquez de faire des erreurs.<\/p>\n<p>Les enjeux du NewSpace sont trop importants pour faire ces compromis. De nouvelles solutions techniques s\u2019imposent.<\/p>\n<h2>Technologie GPU (par carte graphique)\u00a0: une solution pr\u00e9cise et rapide<\/h2>\n<p>Par rapport aux unit\u00e9s centrales de traitement (CPU), les processeurs graphiques (GPU) peuvent effectuer des calculs parall\u00e8les \u00e0 une vitesse extraordinaire.<\/p>\n<p>En fait, les GPU sont la solution id\u00e9ale pour les calculs thermiques de rayonnement. Les m\u00e9thodes de lancer de rayons sur GPU permettent de travailler directement avec la CAO sur un maillage d\u00e9taill\u00e9 et donc minimiser les simplifications d\u2019ordinaire n\u00e9cessaires en tirant avantage de la puissance des cartes GPU pour les calculs de rayonnement.<\/p>\n<p>Il n\u2019est donc plus n\u00e9cessaire de choisir entre la vitesse et la pr\u00e9cision du calcul. Avec <a href=\"https:\/\/mayahtt.com\/fr\/blog\/tmg-la-reference-simulation-thermique-avancee\/\">TMG<\/a>, la technologie GPU permet aux ing\u00e9nieurs de r\u00e9duire le temps de calcul et de maintenir une pr\u00e9cision exceptionnelle.<\/p>\n<h2>GPU contre CPU \u2013 Principaux avantages<\/h2>\n<ul>\n<li><strong>Vitesse\u00a0: <\/strong>Effectuer des calculs jusqu\u2019\u00e0 400\u00a0fois plus rapidement<\/li>\n<li><strong>Pr\u00e9cision\u00a0: <\/strong>Travailler directement avec la CAO et sur un maillage d\u00e9taill\u00e9 en minimisant les simplifications en ayant recours aux multiples c\u0153urs des GPU pour les calculs de rayonnement<\/li>\n<li><strong>Efficacit\u00e9\u00a0: <\/strong>R\u00e9aliser plus d\u2019it\u00e9rations de conception et d\u2019optimisations dans les m\u00eames d\u00e9lais<\/li>\n<\/ul>\n<p>Veuillez lire la suite pour d\u00e9couvrir les am\u00e9liorations r\u00e9elles que la technologie GPU peut apporter dans chacun de ces domaines.<\/p>\n<h2>De quelle diff\u00e9rence de temps de calcul parle-t-on\u00a0?<\/h2>\n<h3>Facteur de vue entre deux surfaces<\/h3>\n<p>Bas\u00e9 sur des mod\u00e8les r\u00e9els de clients, le tableau ci-dessous illustre l\u2019acc\u00e9l\u00e9ration des calculs par GPU pour le calcul des facteurs de vue entre deux surfaces qui ont des propri\u00e9t\u00e9s de corps gris.<\/p>\n<table style=\"height: 100%; width: 60%;\" border=\"2\" width=\"60%\" cellpadding=\"2px\">\n<tbody>\n<tr>\n<td><strong>Mod\u00e8le<\/strong><\/td>\n<td><strong>Dur\u00e9e CPU (s)<\/strong><\/td>\n<td><strong>Dur\u00e9e GPU (s)<\/strong><\/td>\n<td><strong>Acc\u00e9l\u00e9ration<\/strong><\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td>H\u00e9micube, 8\u00a0c\u0153urs<\/td>\n<td>RTX 2080\u00a0Ti<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>1er\u00a0mod\u00e8le<\/td>\n<td>68\u00a0050<\/td>\n<td>1\u00a0451<\/td>\n<td>x\u00a046<\/td>\n<\/tr>\n<tr>\n<td>2e\u00a0mod\u00e8le<\/td>\n<td>44\u00a0436<\/td>\n<td>1\u00a0307<\/td>\n<td>x\u00a034<\/td>\n<\/tr>\n<tr>\n<td>3e\u00a0mod\u00e8le<\/td>\n<td>118\u00a0406<\/td>\n<td>297<\/td>\n<td>x\u00a0399<\/td>\n<\/tr>\n<tr>\n<td>4e\u00a0mod\u00e8le<\/td>\n<td>127\u00a0233<\/td>\n<td>311<\/td>\n<td>x\u00a0409<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Calcul des facteurs de vue entre deux surfaces avec des propri\u00e9t\u00e9s de corps gris<\/strong><\/p>\n<h3>Flux orbitaux (solaire, rayonnement infrarouge plan\u00e9taire et alb\u00e9do)<\/h3>\n<p>Le calcul des flux orbitaux (solaire, rayonnement infrarouge plan\u00e9taire et alb\u00e9do) dans le domaine spatial est un autre goulot d\u2019\u00e9tranglement potentiel.<\/p>\n<p>Voici ci-dessous les r\u00e9sultats d\u2019une comparaison entre deux mod\u00e8les.<\/p>\n<h4>Appareil photo avec chauffage orbital<\/h4>\n<ul>\n<li>279 733 \u00e9l\u00e9ments<\/li>\n<li>12\u00a0positions<\/li>\n<li>2 enceintes<\/li>\n<li>Effets sp\u00e9culaires\/transparents<\/li>\n<\/ul>\n<table style=\"height: 92px; width: 60%;\" border=\"2\" width=\"60%\" cellpadding=\"2px\">\n<tbody>\n<tr style=\"height: 47px;\">\n<td style=\"height: 47px; width: 186.125px;\"><\/td>\n<td style=\"height: 47px; width: 115.85px;\"><strong>Temps VUFAC-VFRTGPU<\/strong><\/td>\n<td style=\"height: 47px; width: 91.225px;\"><strong>Temps total \u00e9coul\u00e9<\/strong><\/td>\n<\/tr>\n<tr style=\"height: 47px;\">\n<td style=\"height: 47px; width: 186.125px;\"><strong>D\u00e9terminisme \u00e0 12\u00a0CPU\u00a02 subdivisions<\/strong><\/td>\n<td style=\"height: 47px; width: 115.85px;\"><strong>9 h 02 min<\/strong><\/td>\n<td style=\"height: 47px; width: 91.225px;\"><strong>9 h 44 min<\/strong><\/td>\n<\/tr>\n<tr style=\"height: 23px;\">\n<td style=\"height: 23px; width: 186.125px;\"><strong>GPU, 20\u00a0K rayons<\/strong><\/td>\n<td style=\"height: 23px; width: 115.85px;\"><strong>16\u00a0min (962\u00a0s)<\/strong><\/td>\n<td style=\"height: 23px; width: 91.225px;\"><strong>58 min 38 s<\/strong><\/td>\n<\/tr>\n<tr style=\"height: 23px;\">\n<td style=\"height: 23px; width: 186.125px;\"><strong>Acc\u00e9l\u00e9ration<\/strong><\/td>\n<td style=\"height: 23px; width: 115.85px;\"><strong>x\u00a034<\/strong><\/td>\n<td style=\"height: 23px; width: 91.225px;\"><strong>x\u00a010<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>Mod\u00e8le de satellite complet avec chauffage orbital<\/h3>\n<ul>\n<li>134\u00a0721 \u00e9l\u00e9ments<\/li>\n<li>9 enceintes<\/li>\n<li>Articulations rotatives pour panneaux solaires<\/li>\n<li>Effets sp\u00e9culaires\/transparents<\/li>\n<li>Simplifications\u00a0: contrainte de temp\u00e9rature sur l\u2019ensemble du mod\u00e8le pour acc\u00e9l\u00e9rer le temps de calcul du solveur<\/li>\n<\/ul>\n<table style=\"height: 100%; width: 60%;\" border=\"2\" width=\"60%\" cellpadding=\"2px\">\n<tbody>\n<tr>\n<td><\/td>\n<td><strong>Temps VUFAC-VFRTGPU<\/strong><\/td>\n<td><strong>Temps total \u00e9coul\u00e9<\/strong><\/td>\n<\/tr>\n<tr>\n<td><strong>D\u00e9terminisme \u00e0 40\u00a0CPU\u00a03 subdivisions<\/strong><\/td>\n<td><strong>9 h 22 min<\/strong><\/td>\n<td><strong>13 h 36 min<\/strong><\/td>\n<\/tr>\n<tr>\n<td><strong>GPU, 10\u00a0K rayons<\/strong><\/td>\n<td><strong>38\u00a0min<\/strong><\/td>\n<td><strong>1 h 49 min<\/strong><\/td>\n<\/tr>\n<tr>\n<td><strong>Acc\u00e9l\u00e9ration<\/strong><\/td>\n<td><strong>x\u00a015<\/strong><\/td>\n<td><strong>x\u00a08<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Gains de pr\u00e9cision gr\u00e2ce \u00e0 l\u2019approche de Monte-Carlo<\/h2>\n<h3>\u00c9clairage lumineux uniforme approximatif<\/h3>\n<p>Le calcul par GPU n\u2019utilise pas l\u2019approximation de l\u2019\u00e9clairage uniforme utilis\u00e9e par la m\u00e9thode D\u00e9terminisme et H\u00e9micube.<\/p>\n<p>Elle est donc plus pr\u00e9cise, comme le montre l\u2019illustration ci-dessous.<\/p>\n<p><img decoding=\"async\" class=\"aligncenter wp-image-84329 size-full\" src=\"https:\/\/mayahtt.com\/wp-content\/uploads\/2025\/02\/monte-carlo-method-gpu.png\" alt=\"GPU calculations with the Monte Carlo method\" width=\"576\" height=\"295\" srcset=\"https:\/\/mayahtt.com\/wp-content\/uploads\/2025\/02\/monte-carlo-method-gpu.png 576w, https:\/\/mayahtt.com\/wp-content\/uploads\/2025\/02\/monte-carlo-method-gpu-480x246.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 576px, 100vw\" \/><\/p>\n<h3>Probl\u00e8me de barri\u00e8re<\/h3>\n<p>Le calcul par GPU permet d\u2019\u00e9viter efficacement le \u00ab\u00a0probl\u00e8me de barri\u00e8re\u00a0\u00bb, dans lequel le rayonnement s\u2019infiltre \u00e0 l\u2019int\u00e9rieur ou \u00e0 l\u2019ext\u00e9rieur d\u2019un mod\u00e8le si un \u00e9l\u00e9ment se trouve dans une jonction en T entre deux enceintes, comme le montre l\u2019illustration ci-dessous.<\/p>\n<p><img decoding=\"async\" class=\"aligncenter wp-image-84331 size-full\" src=\"https:\/\/mayahtt.com\/wp-content\/uploads\/2025\/02\/avoiding-fence-problem-radiation.png\" alt=\"avoiding the fence problem where radiation can leak in or out of a model if an element is in a T junction between two enclosures\" width=\"576\" height=\"279\" srcset=\"https:\/\/mayahtt.com\/wp-content\/uploads\/2025\/02\/avoiding-fence-problem-radiation.png 576w, https:\/\/mayahtt.com\/wp-content\/uploads\/2025\/02\/avoiding-fence-problem-radiation-480x233.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 576px, 100vw\" \/><\/p>\n<h3><strong>Efficacit\u00e9 accrue gr\u00e2ce au tracer de rayons<\/strong><\/h3>\n<p>Lorsqu\u2019il s\u2019agit de g\u00e9rer des effets sp\u00e9culaires ou transparents, le GPU est encore plus rapide.<\/p>\n<p>Vous trouverez ci-dessous les r\u00e9sultats et un r\u00e9sum\u00e9 des temps de calcul pour un mod\u00e8le de th\u00e9i\u00e8re form\u00e9 de 168 929\u00a0\u00e9l\u00e9ments.<\/p>\n<table style=\"height: 100%; width: 60%;\" border=\"2\" width=\"60%\" cellpadding=\"2px\">\n<tbody>\n<tr>\n<td><\/td>\n<td><strong>Temps de tra\u00e7age des rayons VUFAC-VFRTGPU<\/strong><\/td>\n<\/tr>\n<tr>\n<td><strong>Monte-Carlo sur CPU <\/strong><\/td>\n<td><strong>3681\u00a0s<\/strong><\/td>\n<\/tr>\n<tr>\n<td><strong>GPU (RTX 3080\u00a0Ti)<\/strong><\/td>\n<td><strong>30\u00a0s<\/strong><\/td>\n<\/tr>\n<tr>\n<td><strong>Acc\u00e9l\u00e9ration<\/strong><\/td>\n<td><strong>x\u00a0122<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><\/h2>\n<p><img decoding=\"async\" class=\"aligncenter wp-image-84333 size-full\" src=\"https:\/\/mayahtt.com\/wp-content\/uploads\/2025\/02\/ray-tracing-gpu.png\" alt=\"Ray tracing GPU result\" width=\"576\" height=\"459\" srcset=\"https:\/\/mayahtt.com\/wp-content\/uploads\/2025\/02\/ray-tracing-gpu.png 576w, https:\/\/mayahtt.com\/wp-content\/uploads\/2025\/02\/ray-tracing-gpu-480x383.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 576px, 100vw\" \/><\/p>\n<h2>D\u00e9couvrez les avantages du calcul de rayonnement bas\u00e9 sur processeur graphique (GPU) avec TMG<\/h2>\n<p>En int\u00e9grant le calcul de rayonnement sur GPU dans les calculs thermiques, les ing\u00e9nieurs peuvent cr\u00e9er des mod\u00e8les \u00e0 haute r\u00e9solution directement \u00e0 partir de la CAO et r\u00e9duire de mani\u00e8re importante les temps de mise en donn\u00e9es et de calcul.<\/p>\n<p>Cette nouvelle approche am\u00e9liore la pr\u00e9cision des pr\u00e9visions thermiques et acc\u00e9l\u00e8re globalement le processus de conception afin que les ing\u00e9nieurs en astronautique puissent d\u00e9velopper des engins spatiaux plus rapidement et plus efficacement.<\/p>\n<p><a href=\"https:\/\/mayahtt.com\/fr\/blog\/tmg-la-reference-simulation-thermique-avancee\/\">Apprenez-en davantage sur TMG<\/a><\/p>\n<p><a href=\"https:\/\/mayahtt.com\/fr\/about-maya-htt\/contact\/\">Communiquer avec un expert Maya HTT d\u00e8s aujourd\u2019hui<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Les ing\u00e9nieurs en astronautique ne connaissent que trop bien ce probl\u00e8me\u00a0: D\u2019une part, ils ont besoin de mod\u00e8les d\u00e9taill\u00e9s pour obtenir des r\u00e9sultats pr\u00e9cis. D\u2019autre part, ils doivent agir rapidement, toujours plus vite qu\u2019auparavant. Est-il possible de trouver un \u00e9quilibre ? Peut-\u00eatre. Mais que se passe-t-il lorsque le juste milieu entre rapidit\u00e9 et pr\u00e9cision n\u2019est [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":86780,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[559,560,303],"tags":[],"class_list":["post-89366","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles-fr-fr","category-articles-fr-2","category-blogue"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Simulation optimis\u00e9e par GPU\u00a0: la vitesse sans compromis - Maya HTT<\/title>\n<meta name=\"description\" content=\"Avec TMG, la technologie GPU permet aux ing\u00e9nieurs de r\u00e9duire le temps de calcul et de maintenir une pr\u00e9cision exceptionnelle.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.mayahtt.com\/fr\/blog\/simulation-optimisee-par-gpu-vitesse-sans-compromis\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Simulation optimis\u00e9e par GPU\u00a0: la vitesse sans compromis - 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