@inproceedings{d6f07943bead4f20b934d8e606fffd4c,
title = "Efficient graph comparison and visualization using GPU",
abstract = "This paper presents application of several graph algorithms for comparison and visualization of real-world networks. In order to obtain interactive and robust framework for analysis of large graphs we use CUDA implementations of all-shortest-paths (APSP) and breadth-first-search (BFS) algorithms along with CULA matrix decomposition routines. Such an approach allows for efficient computation of graph feature vectors, visualization with graph B-matrices and accelerating dimensionality reduction methods used to embed graphs into low-dimensional metric spaces. Graph analysis algorithms implemented in CUDA were integrated with Graph Investigator Java application via Java Native Interface (JNI) what makes them more convenient to use. We further present two real-world usage scenarios i.e. analysis and visualization of vascular networks in presence of tumor and clusterization based on graph representations of satelite photos.",
keywords = "all-shortest paths, graph B-matrix, graph comparison, graph descriptor",
author = "Wojciech Czech and Yuen, {David A.}",
year = "2011",
doi = "10.1109/CSE.2011.100",
language = "English (US)",
isbn = "9780769544779",
series = "Proc. - 14th IEEE Int. Conf. on Computational Science and Engineering, CSE 2011 and 11th Int. Symp. on Pervasive Systems, Algorithms, and Networks, I-SPA 2011 and 10th IEEE Int. Conf. on IUCC 2011",
pages = "561--566",
booktitle = "Proc. - 14th IEEE Int. Conf. on Computational Science and Engineering, CSE 2011 and 11th Int. Symp.on Pervasive Systems, Algorithms, and Networks, I-SPAN 2011 and 10th IEEE Int. Conf. IUCC 2011",
note = "14th IEEE Int. Conf. on Computational Science and Engineering, CSE 2011, the 11th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2011, and the 10th IEEE Int. Conf. on Ubiquitous Computing and Communications, IUCC 2011 ; Conference date: 24-08-2011 Through 26-08-2011",
}