High-Performance Software Rasterization on GPUs
dc.contributor.author | Laine, Samuli | en_US |
dc.contributor.author | Karras, Tero | en_US |
dc.contributor.editor | Carsten Dachsbacher and William Mark and Jacopo Pantaleoni | en_US |
dc.date.accessioned | 2016-02-18T11:01:48Z | |
dc.date.available | 2016-02-18T11:01:48Z | |
dc.date.issued | 2011 | en_US |
dc.description.abstract | In this paper, we implement an efficient, completely software-based graphics pipeline on a GPU. Unlike previous approaches, we obey ordering constraints imposed by current graphics APIs, guarantee hole-free rasterization, and support multisample antialiasing. Our goal is to examine the performance implications of not exploiting the fixed-function graphics pipeline, and to discern which additional hardware support would benefit software-based graphics themost. We present significant improvements over previous work in terms of scalability, performance, and capabilities. Our pipeline is malleable and easy to extend, and we demonstrate that in a wide variety of test cases its performance is within a factor of 2 8x compared to the hardware graphics pipeline on a top of the line GPU. Our implementation is open sourced and available at http://code.google.com/p/cudaraster/ | en_US |
dc.description.sectionheaders | GPU Computing & Computational Graphics | en_US |
dc.description.seriesinformation | Eurographics/ ACM SIGGRAPH Symposium on High Performance Graphics | en_US |
dc.identifier.doi | 10.1145/2018323.2018337 | en_US |
dc.identifier.isbn | 978-1-4503-0896-0 | en_US |
dc.identifier.issn | 2079-8687 | en_US |
dc.identifier.pages | 79-88 | en_US |
dc.identifier.uri | https://doi.org/10.1145/2018323.2018337 | en_US |
dc.publisher | ACM | en_US |
dc.title | High-Performance Software Rasterization on GPUs | en_US |