We describe a novel, scalable approach for scientific visualization in HPC environments, based on the ray tracing engine Intel® OSPRay associated with VisIt. Part of the software stack of the Leibniz Supercomputing Centre, this method has been applied to the visualization of the largest simulations of interstellar turbulence ever performed, produced on SuperMUC-NG. The hybrid (MPI + Threading Building Blocks) parallelization of OSPRay and VisIt allows efficient scaling up to about 150 thousand cores, making it possible to visualize the data at the full, unprecedented resolution of $10048^3$ grid elements (about 23 TB per snapshot).

Besides presenting the method, its HPC context and future developments, we describe the implications of our visualization in the considered science case: our work brilliantly showcases the stretching-and-folding mechanisms through which astrophysical processes drive turbulence and amplify the magnetic field in the interstellar gas, and how the first structures, the seeds of newborn stars are shaped by this process. We finally observe the similarities between ray tracing and other HPC numerical techniques used in astrophysics, anticipating increasing convergences in the near future.

我们基于与VisIt关联的光线跟踪引擎Intel®OSPRay，描述了一种在HPC环境中进行科学可视化的新颖，可扩展的方法。该方法是莱布尼兹超级计算中心软件堆栈的一部分，已应用于在SuperMUC-NG上进行的有史以来最大的星际湍流模拟的可视化。OSPRay和VisIt的混合（MPI +线程构建模块）并行化可有效扩展至约15万个内核，从而可以以前所未有的完整分辨率查看数据$10048^3$ 网格元素（每个快照约23 TB）。

除了介绍该方法，其高性能计算背景和未来发展之外，我们还将在可视化的科学案例中描述可视化的含义：我们的工作出色地展示了天文物理过程驱动湍流并放大星际磁场的拉伸和折叠机制。气体，以及初生恒星的种子如何通过此过程成型。我们最终观察到射线追踪与天体物理学中使用的其他HPC数值技术之间的相似之处，并预计在不久的将来会出现越来越多的收敛。