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HD-GraphViz: Highly Distributed Grap...

Chae, Sangwon.

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HD-GraphViz: Highly Distributed Graph Visualization on Tiled Displays.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	HD-GraphViz: Highly Distributed Graph Visualization on Tiled Displays./
Author:	Chae, Sangwon.
Description:	118 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-07(E), Section: B.
Contained By:	Dissertation Abstracts International74-07B(E).
Subject:	Engineering, Computer. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3557188
ISBN:	9781303000928

HD-GraphViz: Highly Distributed Graph Visualization on Tiled Displays.
Chae, Sangwon.

HD-GraphViz: Highly Distributed Graph Visualization on Tiled Displays. - 118 p.

Source: Dissertation Abstracts International, Volume: 74-07(E), Section: B.

Thesis (Ph.D.)--University of California, Irvine, 2013.

In this thesis, we propose a distributed approach for visualizing graph datasets using distributed force-directed layout algorithm with the proposed K-means clustering algorithm on multiple displays each of which is controlled by a compute device. In this distributed network of compute-display nodes, the display devices form a geometrically contiguous tiled display wall, and the data distribution among the compute-display nodes for algorithmic purposes is related to the data distribution to its corresponding display nodes for visualization purposes. This approach collocates computation and visualization within the same node and minimizes network bandwidth requirement for data exchange between nodes.

ISBN: 9781303000928Subjects--Topical Terms:

1669061
Engineering, Computer.

HD-GraphViz: Highly Distributed Graph Visualization on Tiled Displays.
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020 $a 9781303000928
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100 1 $a Chae, Sangwon. $3 2099675
245 1 0 $a HD-GraphViz: Highly Distributed Graph Visualization on Tiled Displays.
300 $a 118 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-07(E), Section: B.
500 $a Adviser: Gopi Meenakshisundaram.
502 $a Thesis (Ph.D.)--University of California, Irvine, 2013.
520 $a In this thesis, we propose a distributed approach for visualizing graph datasets using distributed force-directed layout algorithm with the proposed K-means clustering algorithm on multiple displays each of which is controlled by a compute device. In this distributed network of compute-display nodes, the display devices form a geometrically contiguous tiled display wall, and the data distribution among the compute-display nodes for algorithmic purposes is related to the data distribution to its corresponding display nodes for visualization purposes. This approach collocates computation and visualization within the same node and minimizes network bandwidth requirement for data exchange between nodes.
520 $a Leveraging the advantages of the above novel system design, we also present a distributed force directed graph layout algorithm. In this distributed algorithm, we address two issues specific to tiled displays: number of edges crossing the display panel boundaries (across two different compute-display clients) and the location of graph vertices close to panel boundaries which may lead to incorrect visual analytic conclusions. We integrate the cost functions expressing the above two effects along with the cost function of the edge-crossings within each display into the graph layout algorithm. Using this distributed approach, for the first time a very large graph has been laid out in a large real estate provided by the tiled display. The proposed system is evaluated on various parameters including the scalability, the impact on display real-estate utilization, and finally, network bandwidth usage.
590 $a School code: 0030.
650 4 $a Engineering, Computer. $3 1669061
650 4 $a Computer Science. $3 626642
690 $a 0464
690 $a 0984
710 2 $a University of California, Irvine. $b Electrical and Computer Engineering - Ph.D.. $3 2094166
773 0 $t Dissertation Abstracts International $g 74-07B(E).
790 $a 0030
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3557188