Parallel Importing of OBJ Meshes in CUDA

Aidan L. Possemiers, Ickjai Lee
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Abstract

Alias | Wavefront OBJ meshes are a common text file type for transferring 3D mesh data between applications made by different vendors. However, as the mesh complexity gets higher and denser, the files become larger and slower to import. This paper explores the use of GPUs to accelerate the importing and parsing of OBJ files by studying file read-times, runtimes and load resistance. We propose a new method of reading and parsing that circumvents GPU architecture limitations and improves performance, seeing the new GPU method outperform CPU methods with a 6-8x speedup. When run on a heavily loaded system, the new method only received an 80% performance hit, compared to the 160% that the CPU methods received. The loaded GPU speedup compared to unloaded CPU methods was 3.5x, and, when compared to loaded CPU methods, 8x. These results demonstrate that the time is right for further research into the use of data-parallel GPU acceleration beyond that of computer graphics and high performance computing.
在CUDA中并行导入OBJ网格
Wavefront OBJ网格是一种常见的文本文件类型,用于在不同供应商制作的应用程序之间传输3D网格数据。然而,随着网格复杂度变得越来越高和密集,文件变得越来越大,导入速度也越来越慢。本文通过研究文件读取时间、运行时间和负载阻力,探讨了使用gpu加速OBJ文件的导入和解析。我们提出了一种新的读取和解析方法,它绕过了GPU架构的限制并提高了性能,看到新的GPU方法比CPU方法的速度提高了6-8倍。当在高负载的系统上运行时,新方法的性能只下降了80%,而CPU方法的性能下降了160%。与未加载CPU的方法相比,加载GPU的加速是3.5倍,与加载CPU的方法相比,加速是8倍。这些结果表明,除了计算机图形学和高性能计算之外,现在是进一步研究数据并行GPU加速使用的时候了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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