Lauterbach, ChristianYoon, Sung-euiTang, MingManocha, Dinesh2015-02-212015-02-2120081467-8659https://doi.org/10.1111/j.1467-8659.2008.01270.xWe present a novel representation and algorithm, ReduceM, for memory efficient ray tracing of large scenes. ReduceM exploits the connectivity between triangles in a mesh and decomposes the model into triangle strips. We also describe a new stripification algorithm, Strip-RT, that can generate long strips with high spatial coherence. Our approach uses a two-level traversal algorithm for ray-primitive intersection. In practice, ReduceM can significantly reduce the storage overhead and ray trace massive models with hundreds of millions of triangles at interactive rates on desktop PCs with 4-8GB of main memory.10.1111/j.1467-8659.2008.01270.x1313-1321