用于可视化非常大的稀疏矩阵的并行数据采集

2013 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing Pub Date : 2013-09-23 DOI:10.1109/SYNASC.2013.51

D. Langr, I. Šimeček, P. Tvrdík, T. Dytrych

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引用次数: 4

摘要

针对大规模并行计算机系统中出现的超大型稀疏矩阵的可视化问题，提出了一种新的矩阵可视化数据的并行获取方法及相应的算法。所提出的方法是基于将矩阵降采样成块，并将所需的可视化数据保存到文件中。然后，这个文件应该被下载，并在个人电脑上处理成最终的图像。实验结果进一步验证了该算法的性能和可扩展性。

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Parallel data acquisition for visualization of very large sparse matrices

The problem of visualization of very large sparse matrices emerging on massively parallel computer systems is identified and a new method along with an accompanying algorithm for parallel acquisition of visualization data for such matrices are presented. The proposed method is based on downsampling a matrix into blocks for which the desired visualization data are saved into a file. This file is then supposed to be downloaded and processed into a final image on a personal computer. Experimental results for the evaluation of the performance and scalability of the proposed algorithm are further provided and discussed.

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2013 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

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