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• W87495839 abstract "Parallel rendering of large polygonal models with transparency is challenging due to the need for alpha-correct blending and compositing, which is costly for very large models with high depth complexity and spatial overlap. In this paper we compare the performance of raster-based rendering methods on mesh models of neurons using two applications, one of which is specifically tailored to the neuroscience application domain, the other a general purpose visualization tool with domain specific additions. The first implements both sort-first and sort-last and uses a scene graph style traversal to cull objects, and dual depth peeling for order independent transparency, whilst the other uses a simpler brute force data-parallel approach with sort last composition. The advantages and trade offs of these approaches are discussed.We present the optimized algorithms needed to achieve interactive frame rates for a non-trivial, real-world parallel rendering scenario. We show that a generic data visualization application can provide competitive performance when optimizing its rendering pipeline, with some loss of capability over an optimized domain-specific application." @default.
• W87495839 created "2016-06-24" @default.
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• W87495839 date "2013-05-04" @default.
• W87495839 modified "2023-10-03" @default.
• W87495839 title "Practical parallel rendering of detailed neuron simulations" @default.
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• W87495839 doi "https://doi.org/10.5555/2602119.2602128" @default.
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