Goswami, PrashantMakhinya, MaximBösch, JonasPajarola, RenatoJames Ahrens and Kurt Debattista and Renato Pajarola2014-01-262014-01-262010978-3-905674-21-71727-348Xhttps://doi.org/10.2312/EGPGV/EGPGV10/063-071In this paper, we introduce a novel out-of-core parallel and scalable technique for rendering massive terrain datasets. The parallel rendering task decomposition is implemented on top of an existing terrain renderer using an open source framework for cluster-parallel rendering. Our approach achieves parallel rendering by division of the rendering task either in sort-last (database) or sort-first (screen domain) manner and presents an optimal method for implicit load balancing in the former mode. The efficiency of our approach is validated using massive elevation models.Categories and Subject Descriptors (according to ACM CCS): I.3.2 [Computer Graphics]: Graphics Systems- Distributed Graphics; I.3.m [Computer Graphics]: Miscellaneous-Parallel Rendering