VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures
VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures
复制标题
VTK-m：加速大规模线程架构的可视化工具包
DOI：
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发表时间：
2016
影响因子：
1.8
通讯作者：
Berk Geveci
中科院分区：
文献类型：
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作者：
K. Moreland;Christopher M. Sewell;W. Usher;Li;J. Meredith;D. Pugmire;James Kress;Hendrik A. Schroots;K. Ma;H. Childs;Matthew Larsen;Chun;Robert Maynard;Berk Geveci
高性能计算 (HPC) 科学可视化最关键的挑战之一是在大规模线程处理器上执行。在我们在 HPC 系统中看到的许多根本性变化中，最深刻的变化之一是对新处理器类型的依赖，这些处理器类型针对执行带宽进行了优化，而不是延迟隐藏。我们当前的生产科学可视化软件并不是为这些新型架构而设计的。为了解决这个问题，VTK-m框架充当算法的容器，提供灵活的数据表示，并简化新的和未来的计算机架构上的可视化算法的设计。
One of the most critical challenges for high-performance computing (HPC) scientific visualization is execution on massively threaded processors. Of the many fundamental changes we are seeing in HPC systems, one of the most profound is a reliance on new processor types optimized for execution bandwidth over latency hiding. Our current production scientific visualization software is not designed for these new types of architectures. To address this issue, the VTK-m framework serves as a container for algorithms, provides flexible data representation, and simplifies the design of visualization algorithms on new and future computer architecture.