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A visibility-culling-based geometric rendering algorithm is proposed in this paper so as to visualize large-scale particle data efficiently. In the algorithm, the particles are culled based on their visibility at two granularities. All data patches beyond the OpenGL view frustum are firstly thrown away as a coarse culling. And then, the remaining particles will be judged their visibility based on...
Finding the unknown laws of sciences among data is one of the most essential goals in modern scientific discoveries. Visualization can be a useful tool for domain scientists to understand data if these data can be interactive rendered. But interactive rendering and exploring of these massive, complex data sets has been identified as one of the major challenges in current scientific visualization field...
For lack of local graphics hardware, general purpose massively parallel computer can hardly be used to quickly visualize the large-scale locally generated datasets with hardware-accelerated volume rendering technique. In this paper, we presented a hybrid parallel rendering scheme take advantage of the background massively parallel computer and front-end distributed graphics workstations. The streams...
The scale of some datasets generated by simulations on tens of thousands of cores are gigabyte or larger per output step. It is imperative that efficient coupling of these simulations and parallel visualization. Therefore, a patch-based parallel I/O strategy has been designed and implemented in JASMIN. These programs reconstructed or developed on JASMIN can write plotting data in many files. These...
The visualization of large-scale time-varying data can provide scientists a more in-depth understanding of the inherent physical phenomena behind the massive data. However, because of non-uniform data access speed and memory capacity bottlenecks, the interactive rendering ability for large-scale time-varying data is still a major challenge. Data compression can alleviate these two bottlenecks. But...
Nowadays benefiting from the powerful computational capacity of the high performance computers, simulation of filamentation in laser plasma interaction(LPI) produces more than terabyte data, which makes traditional visualization ways inefficient and moreover, incapable of discovering more interior information. An analysis method based on signal processing and clustering technique proposed in the paper...
The distributed-memory parallel computer has become the most popular platform for the parallel acceleration of numerical simulations in scientific computing area. However, complex system characteristics and large-scale time-varying data produced on such environment present tremendous challenges for convenient data analyzing. A visualization system framework is introduced in this paper, which can be...
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