Strasser, JonathanPascucci, ValerioMa, Kwan-LuiAlan Heirich and Bruno Raffin and Luis Paulo dos Santos2014-01-262014-01-2620063-905673-40-11727-348Xhttps://doi.org/10.2312/EGPGV/EGPGV06/171-177The capability to visualize large volume datasets has applications in a myriad of scientific fields. This paper presents a large data visualization solution in the form of distributed, multiresolution, progressive processing. This solution reduces the problem of rendering a large volume data into many simple and independent problems that can be straightforwardly distributed to multiple computers. By completely decoupling rendering and display with image caching, we are able to maintain a high level of interactivity during exploration of the data, which is key to obtaining insights into the data.Categories and Subject Descriptors (according to ACM CCS): I.3.2 [Computer Graphics]: Distributed/network graphics, remote systems; I.3.3 [Computer Graphics]: Picture/image generation; I.3.8 [Computer Graphics]: Applications