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Distributed Out-of-Core Approach for In-Situ Volume Rendering of Massive Dataset

Abstract : This paper proposes a method that allows a fluid remote interactive visualization of a terabytes volume on a conventional workstation co-located with the acquisition devices, leveraging remote high performance computing resources. We provide a study of the behavior of an out-of-core volume renderer, using a virtual addressing system with interactive data streaming, in a distributed environment. The method implements a sort-last volume renderer with a multi-resolution ray-guided approach to visualize very large volumes of data thanks to an hybrid multi-GPUs, multi-CPUs single node rendering server.
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https://hal.univ-reims.fr/hal-02977394
Contributor : Laurent Lucas <>
Submitted on : Monday, November 9, 2020 - 10:49:59 AM
Last modification on : Monday, November 30, 2020 - 10:10:02 AM

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Jonathan Sarton, Yannick Rémion, Laurent Lucas. Distributed Out-of-Core Approach for In-Situ Volume Rendering of Massive Dataset. ISC High Performance International Workshops, 2019, Frankfurt, Germany. pp.623-633, ⟨10.1007/978-3-030-34356-9_47⟩. ⟨hal-02977394⟩

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