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Kawamura, Takuma; Idomura, Yasuhiro
Journal of Visualization, 23(4), p.695 - 706, 2020/08
Times Cited Count：1 Percentile：7.45(Computer Science, Interdisciplinary Applications)An in-situ visualization system based on the particle-based volume rendering offers a highly scalable and flexible visual analytics environment based on multivariate volume rendering. Although it showed excellent computational performance on the conventional CPU platforms, accelerated computation on the latest many core platforms revealed performance bottlenecks related to a function parser and particles I/O. In this paper, we develop a new SIMD-aware function parser and an asynchronous data I/O method based on task-based thread parallelization. Numerical experiments on the Oakforest-PACS, which consists of 8208 Intel Xeon Phi7250 (Knights Landing) processors, demonstrate an order of magnitude speedup with keeping improved strong scaling up to 
100 k cores.
Kawamura, Takuma; Sakamoto, Naohisa*
no journal, ,
The visualization library KVS is equipped with various visualization methods and is used by domestic and foreign researchers. Particle-Based Volume Rendering (PBVR), which is implemented in KVS, does not require sorting computation in alpha blending and has advantages in parallel visualization for large-scale data. In this study, we extended the functionality of the visualization library KVS, including PBVR, for the Oculus head-mounted display, and built a client-server remote VR visualization application as a use case.
