Analysis of scalability of high-performance 3D image processing platform for virtual colonoscopy.
Analysis of scalability of high-performance 3D image processing platform for virtual colonoscopy.
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虚拟结肠镜高性能3D图像处理平台的可扩展性分析
DOI：
10.1117/12.2043869
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Cai,Wenli
中科院分区：
文献类型：
--
作者：
Yoshida,Hiroyuki;Wu,Yin;Cai,Wenli
三维 (3D) 医学成像的关键挑战之一是实现快速周转时间，这通常是交互式或实时响应所必需的。由于需要处理大量数据，这不可避免地不仅需要高计算能力，还需要高内存带宽。为此，我们之前开发了一个用于高性能3D医学图像处理的软件平台，称为HPC 3D-MIP平台，该平台采用越来越可用且价格实惠的商品计算系统，例如多核、集群和云计算系统。为了实现可扩展的高性能计算，该平台采用大小自适应、可分布式块卷作为核心数据结构，以实现各种 3D-MIP 算法的高效并行化，支持任务调度以实现高效的负载分配和平衡，并由分层并行软件库组成，允许图像处理应用程序共享通用功能。我们通过将 HPC 3D-MIP 平台应用于虚拟结肠镜检查中的计算密集型流程来评估其性能。实验结果表明，在具有 12 核 CPU 的工作站上，性能比原始顺序执行进程提高了 12 倍，表明了该平台的效率。基于对称多核芯片阿姆达尔定律的性能可扩展性分析表明，当有更多内核可用时，HPC 3D-MIP 平台具有高性能可扩展性的潜力。
One of the key challenges in three-dimensional (3D) medical imaging is to enable the fast turn-around time, which is often required for interactive or real-time response. This inevitably requires not only high computational power but also high memory bandwidth due to the massive amount of data that need to be processed. For this purpose, we previously developed a software platform for high-performance 3D medical image processing, called HPC 3D-MIP platform, which employs increasingly available and affordable commodity computing systems such as the multicore, cluster, and cloud computing systems. To achieve scalable high-performance computing, the platform employed size-adaptive, distributable block volumes as a core data structure for efficient parallelization of a wide range of 3D-MIP algorithms, supported task scheduling for efficient load distribution and balancing, and consisted of a layered parallel software libraries that allow image processing applications to share the common functionalities. We evaluated the performance of the HPC 3D-MIP platform by applying it to computationally intensive processes in virtual colonoscopy. Experimental results showed a 12-fold performance improvement on a workstation with 12-core CPUs over the original sequential implementation of the processes, indicating the efficiency of the platform. Analysis of performance scalability based on the Amdahl’s law for symmetric multicore chips showed the potential of a high performance scalability of the HPC 3D-MIP platform when a larger number of cores is available.
影响因子：
2.5
作者：
Schaub, Jessica;Hunt, Brian P. V.;Quayle, Lucy
通讯作者：
Quayle, Lucy