, 88 5.2.3 Approche "ray-guided" et gestion out-of-core, p.89

. .. Stratégie-multi-gpus, 92 5.3.1 Approche de rendu "sort-last"

. .. Jeux-de-données,

, Empreinte mémoire GPU du modèle de gestion out-of-core . . 105 6.3.1 Impact de la taille des briques

.. .. Performances,

.. .. Discussions,

.. .. Conclusion,

, L'évaluation de notre modèle de gestion out-of-core, en plus de l'analyse de performance des diérentes applications implémentées, nous permettent de montrer que : 1. la méthode proposée permet d'obtenir de bonnes performances en terme de fré-quence d'achage du rendu pour la visualisation

, la méthode de gestion out-of-core proposée ore une empreinte mémoire GPU faible, un taux d'occupation du GPU faible ainsi que des communications très limitées entre le GPU et la mémoire centrale

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