View publication
| Title | GPU-accelerated Processing of Polygonal Meshes in Compact Space |
| Authors | Diego Garcia Espinoza, sergio salinas, José Fuentes-Sepúlveda, Nancy Hitschfeld |
| Publication date | 2026 |
| Abstract | querying and traversing polygonal meshes on the GPU. For this, we adapted a planar graph compact data structure called PEMB to be used inside a GPU. To test the data structure we built a new version of the polygonal mesh generator Polylla in GPU compact space, and compared it against its GPU non-compact, the sequential non-compact and sequential compact versions. The latter takes a compact triangulation and generates a non-compact mesh, while our algorithm outputs a compact mesh. We also measured and compared the performance of the queries on the GPU compact data structure against the queries on the sequential non-compact and compact data structures. The results show that generating meshes using the GPU compact variant is 2x faster than the sequential compact variant. Moreover, the queries from the data structure are 43x faster using the GPU compact variant compared to the sequential one. |
| Pages | article 34 |
| Conference name | International Meshing Roundtable |
| Publisher | Springer-Verlag (Berlin/Heidelberg, Germany) |
| Reference URL |
|