| Autor: |
Wald I, Johnson GP, Amstutz J, Brownlee C, Knoll A, Jeffers J, Gunther J, Navratil P |
| Jazyk: |
angličtina |
| Zdroj: |
IEEE transactions on visualization and computer graphics [IEEE Trans Vis Comput Graph] 2017 Jan; Vol. 23 (1), pp. 931-940. |
| DOI: |
10.1109/TVCG.2016.2599041 |
| Abstrakt: |
Scientific data is continually increasing in complexity, variety and size, making efficient visualization and specifically rendering an ongoing challenge. Traditional rasterization-based visualization approaches encounter performance and quality limitations, particularly in HPC environments without dedicated rendering hardware. In this paper, we present OSPRay, a turn-key CPU ray tracing framework oriented towards production-use scientific visualization which can utilize varying SIMD widths and multiple device backends found across diverse HPC resources. This framework provides a high-quality, efficient CPU-based solution for typical visualization workloads, which has already been integrated into several prevalent visualization packages. We show that this system delivers the performance, high-level API simplicity, and modular device support needed to provide a compelling new rendering framework for implementing efficient scientific visualization workflows. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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