Ganter, DavidAlain, MartinHardman, DavidSmolic, AljosaManzke, MichaelFu, Hongbo and Ghosh, Abhijeet and Kopf, Johannes2018-10-072018-10-072018978-3-03868-073-4https://doi.org/10.2312/pg.20181283https://diglib.eg.org:443/handle/10.2312/pg20181283Direct Volume Rendering (DVR) of volume data can be a memory intensive task in terms of footprint and cache-coherency. Rayguided methods may not be the best option to interactively render to light-fields due to feedback loops and sporadic sampling, and pre-computation can rule out time-varying data. We present a pipelined approach to schedule the rendering of sub-regions of streaming time-varying volume data while minimising intermediate sub-buffers needed, sharing the work load between CPU and GPU. We show there is significant advantage to using such an approach.Computing methodologiesRenderingParallel algorithmsGraphics systems and interfaces10.2312/pg.2018128369-72