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Three-dimensional thinning algorithms on graphics processing units and multicore CPUs

机译:图形处理单元和多核CPU上的三维稀疏算法

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Three-dimensional curve skeletons are a very compact representation of three-dimensional objects with many uses and applications in fields such as computer graphics, computer vision, and medical imaging. An important problem is that the calculation of the skeleton is a very time-consuming process. Thinning is a widely used technique for calculating the curve skeleton because of the properties it ensures and the ease of implementation. In this paper, we present parallel versions of a thinning algorithm for efficient implementation in both graphics processing units and multicore CPUs. The parallel programming models used in our implementations are Compute Unified Device Architecture (CUDA) and Open Computing Language (OpenCL). The speedup achieved with the optimized parallel algorithms for the graphics processing unit achieves 106.24x against the CPU single-process version and more than 19x over the CPU multithreaded version.
机译:三维曲线骨架是三维对象的非常紧凑的表示形式,在计算机图形学,计算机视觉和医学成像等领域具有许多用途和应用。一个重要的问题是骨架的计算是一个非常耗时的过程。细化是一种用于计算曲线骨架的广泛使用的技术,因为它可以确保特性并易于实现。在本文中,我们提出了并行版本的细化算法,以在图形处理单元和多核CPU中高效实现。我们的实现中使用的并行编程模型是计算统一设备体系结构(CUDA)和开放计算语言(OpenCL)。通过针对图形处理单元的优化并行算法实现的加速比CPU单进程版达到106.24倍,比CPU多线程版达到19倍以上。

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