| Literature DB >> 27875206 |
I Wald, G P Johnson, J Amstutz, C Brownlee, A Knoll, J Jeffers, J Gunther, P Navratil.
Abstract
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.Year: 2017 PMID: 27875206 DOI: 10.1109/TVCG.2016.2599041
Source DB: PubMed Journal: IEEE Trans Vis Comput Graph ISSN: 1077-2626 Impact factor: 4.579