Distributed Out-of-Core Approach for In-Situ Volume Rendering of Massive Dataset - Université de Reims Champagne-Ardenne Access content directly
Conference Papers Year : 2019

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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Dates and versions

hal-02977394 , version 1 (09-11-2020)

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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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