dc.contributor.author | Kim, Duksu | en_US |
dc.contributor.editor | Anna Puig Puig and Tobias Isenberg | en_US |
dc.date.accessioned | 2017-06-12T05:17:50Z | |
dc.date.available | 2017-06-12T05:17:50Z | |
dc.date.issued | 2017 | |
dc.identifier.isbn | 978-3-03868-044-4 | |
dc.identifier.uri | http://dx.doi.org/10.2312/eurp.20171157 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/eurp20171157 | |
dc.description.abstract | We propose a novel memory efficient parallel ray casting algorithm for unstructured grid. To reduce the high memory consumption of a previous work (i.e. Bunyk), we use a small size of local buffer for each thread to keep view dependent information for most recently visited faces. To improve the utilization efficiency of a local buffer, we propose an index-based hash function and a novel group traversal scheme. With our method, a small size buffer achieves a high hit ratio (i.e. utilization efficiency). As a result, we achieved a compatible performance with Bunyk while using less than 1% of memory space for view dependent face information. Also, our method shows even better performance than Bunyk for a large dataset since the buffer size is small enough to utilize CPU caches and our traversal scheme maximally takes advantage of the early ray termination optimization. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.title | Memory Efficient Parallel Ray-casting Algorithm for Unstructured Grid Volume Rendering | en_US |
dc.description.seriesinformation | EuroVis 2017 - Posters | |
dc.description.sectionheaders | Posters | |
dc.identifier.doi | 10.2312/eurp.20171157 | |
dc.identifier.pages | 13-15 | |