Rizzi, SilvioHereld, MarkInsley, JosephPapka, Michael E.Uram, ThomasVishwanath, VenkatramMargarita Amor and Markus Hadwiger2014-12-162014-12-162014978-3-905674-59-01727-348Xhttps://doi.org/10.2312/pgv.20141086https://diglib.eg.org/handle/10.2312/pgv.20141086.065-072This paper presents an analytical model for parallel volume rendering of large datasets using GPU-based clusters. The model is focused on the parallel volume rendering and compositing stages and predicts their performance requiring only a few input parameters. We also present vl3, a novel parallel volume rendering framework for visualization of large datasets. Its performance is evaluated on a GPU-based cluster, weak and strong scaling are studied, and model predictions are validated with experimental results on up to 128 GPUs.I.3.2 [Computer Graphics]Graphics SystemsDistributed/network graphics