利用无绑定纹理对象和CUDA/OpenGL互操作性对数字重建射线照片进行GPU加速。

GPU acceleration for digitally reconstructed radiographs using bindless texture objects and CUDA/OpenGL interoperability.

作者信息

Abdellah Marwan, Eldeib Ayman, Owis Mohamed I

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:4242-5. doi: 10.1109/EMBC.2015.7319331.

DOI:10.1109/EMBC.2015.7319331

Abstract

This paper features an advanced implementation of the X-ray rendering algorithm that harnesses the giant computing power of the current commodity graphics processors to accelerate the generation of high resolution digitally reconstructed radiographs (DRRs). The presented pipeline exploits the latest features of NVIDIA Graphics Processing Unit (GPU) architectures, mainly bindless texture objects and dynamic parallelism. The rendering throughput is substantially improved by exploiting the interoperability mechanisms between CUDA and OpenGL. The benchmarks of our optimized rendering pipeline reflect its capability of generating DRRs with resolutions of 2048(2) and 4096(2) at interactive and semi interactive frame-rates using an NVIDIA GeForce 970 GTX device.

摘要

本文介绍了一种先进的X射线渲染算法实现，该算法利用当前商用图形处理器的巨大计算能力来加速高分辨率数字重建X线片（DRR）的生成。所提出的流程利用了NVIDIA图形处理单元（GPU）架构的最新特性，主要是无绑定纹理对象和动态并行。通过利用CUDA和OpenGL之间的互操作性机制，渲染吞吐量得到了显著提高。我们优化后的渲染流程的基准测试反映了其使用NVIDIA GeForce 970 GTX设备以交互式和半交互式帧率生成分辨率为2048×2048和4096×4096的DRR的能力。