SIGGRAPH Asia 2015 Visualization in High Performance Computing最新文献_第2页

CityHeat: visualizing cellular automata-based traffic heat in Unity3D CityHeat:在Unity3D中可视化基于元胞自动机的交通热

SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818527

Verina Cristie, M. Berger, Peter Bus, Ashwani Kumar, Bernhard Klein

引用次数: 16

Balanced sampling and compression for remote visualization 平衡采样和压缩远程可视化

SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818529

S. Frey, F. Sadlo, T. Ertl

引用次数: 6

Introduction to KVS, a simple and effective visualization toolkit 介绍KVS，一个简单而有效的可视化工具包

SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818533

Kyoko Hasegawa

引用次数: 0

ModulGraph: modularity-based visualization of massive graphs ModulGraph:基于模块化的海量图形可视化

SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818542

Chenhui Li, G. Baciu, Yunzhe Wang

{"title":"ModulGraph: modularity-based visualization of massive graphs","authors":"Chenhui Li, G. Baciu, Yunzhe Wang","doi":"10.1145/2818517.2818542","DOIUrl":"https://doi.org/10.1145/2818517.2818542","url":null,"abstract":"Large graph visualization has become a dominant problem in multiple big data analytics domains, including media analytics, social network dynamics, resource management in cloud computing environments, air travel, large networks. A practical approach to displaying massive graphs is by partitioning according to well defined domain-dependent attributes. However, graph visualization in the presence of incomplete information is an open challenge in many applications. In order to better visualize and understand patterns in large graphs, local pattern discovery becomes a critical step in deciding the structural components of graph visualization. In this paper, we present a modularity-based graph visualization method, termed as the ModulGraph. The ModulGraph is a hierarchical representation that treats a graph as a set of modules. The main objective of this work is to hierarchically detect graph patterns in order to visualize large graph data and adapt the interconnecting structures to potential interactions between local module streams. Our main contribution is a graph visualization method that can flexibly detect the local patterns or substructures, called modules, in large graphs. The second contribution is a hybrid modularity measure. This measures hierarchically the cohesion of the graph at various levels of details. We aggregate clusters of nodes and edges into several modules for the purpose of reducing the overlap on the display. Graph patterns of modules are processed by the ModulGraph system in order to avoid information loss while a sub-graph is represented as a single node. Our experiments show that this method can support large-scale graph visualization for visual media exploration and analysis.","PeriodicalId":291424,"journal":{"name":"SIGGRAPH Asia 2015 Visualization in High Performance Computing","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115297129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Visualizing open data of input-output tables in Kobe city 神户市投入产出表开放数据可视化

SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818538

Y. Fujiwara

引用次数: 3

Transparent visualization of large-scale and complex polygon meshes using a stochastic point-based rendering method 基于随机点绘制方法的大规模复杂多边形网格透明可视化

SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818528

R. Xu, Satoshi Tanaka, Kyoko Hasegawa, Wang Sheng, T. Tateyama, Yenwei Chen, S. Kido

{"title":"Transparent visualization of large-scale and complex polygon meshes using a stochastic point-based rendering method","authors":"R. Xu, Satoshi Tanaka, Kyoko Hasegawa, Wang Sheng, T. Tateyama, Yenwei Chen, S. Kido","doi":"10.1145/2818517.2818528","DOIUrl":"https://doi.org/10.1145/2818517.2818528","url":null,"abstract":"Efficient and reliable transparent visualization of large and complex surface data is important in many applications, including the visualization of medical data. Among the many methods, depth-peeling is an efficient solution for rendering polygon meshes transparently; however, the computational cost is related to the number of passes through the peeled geometry. Therefore, the depth-peeling method cannot efficiently render large and complex polygon meshes that require many passes through the geometry. In this paper, we solve this problem using a stochastic point-based rendering (SPBR) method. We use two types of large-scale and complex polygon meshes that have 5,744,376 and 4,800,644 triangles in the experiments. The rendering speed of our method is 3-5 times faster than that of the depth-peeling method for an image resolution of 512 × 512. Additionally, the SPBR method has an inherent visual effect: the outlines of target polygon meshes can be automatically enhanced. This makes the results of the SPBR method more vivid and comprehensible than those of the depth-peeling method.","PeriodicalId":291424,"journal":{"name":"SIGGRAPH Asia 2015 Visualization in High Performance Computing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133932980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Hands-on seminar of remote visualization system PBVR 远程可视化系统PBVR实践研讨会

SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818544

Takuma Kawamura

引用次数: 0

Visualizing large-scale structure of a million-firms economic network 可视化百万企业经济网络的大规模结构

SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818525

Yuji Fujita, Y. Fujiwara, W. Souma

{"title":"Visualizing large-scale structure of a million-firms economic network","authors":"Yuji Fujita, Y. Fujiwara, W. Souma","doi":"10.1145/2818517.2818525","DOIUrl":"https://doi.org/10.1145/2818517.2818525","url":null,"abstract":"The real economy in Japan comprises two million firms and billions of links of supplier-customer and other relationships. We challenge to visualize such big data, specifically how firms are connected to each other. We use a dataset of a million of firms and millions of links of supplier-customer and ownership relationships in order to directly observe such a network structure. We discovered interesting features of the economic network. Firms are connected by the links into tightly-knit groups with high density in intra-groups and with lower connectivity in inter-groups, namely by community structures. We found that the features of community structures are specific to individual industrial sectors, such as manufacturers, retails and wholesales, infra-structure-related sector, health-cares, and so forth. (Figure 1, the representative image attached to this paper is an example of graph drawing in which a million nodes are located with colors representing different industrial sectors). In the network, we also visualized how bankruptcies or failures of firms took place during one year right after the Great East Japan Earthquake in 2011.","PeriodicalId":291424,"journal":{"name":"SIGGRAPH Asia 2015 Visualization in High Performance Computing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114169326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Goal-oriented application design guidance for flow visualization 面向目标的流程可视化应用程序设计指南

SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818524

Yuriko Takeshima, I. Fujishiro

{"title":"Goal-oriented application design guidance for flow visualization","authors":"Yuriko Takeshima, I. Fujishiro","doi":"10.1145/2818517.2818524","DOIUrl":"https://doi.org/10.1145/2818517.2818524","url":null,"abstract":"Modular visualization environments (MVEs) are commonly used in many disciplines including fluid science. However, it is difficult for scientists and engineers, who are not necessarily visualization experts, to make full use of many built-in modules on the basis of their usability and interdependency for constructing optimal visualization workflows. In this paper, we present a novel MVE, called goal-oriented application design guidance for modular visualization environments/flow visualization (GADGET/FV), that is designed and built on an ontological framework to assist users to design their flow visualization workflows. The system relies primarily on an extended Wehrend Matrix that allows users to specify their goals and requirements, and to search the knowledge-base for appropriate visualization workflows on their behalf. In addition, users can browse successful examples maintained in a case repository to facilitate their workflow design further; this concept is referred to as \"design by example.\" In this paper, examples of three practical fluid analyses have been presented to illustrate the usefulness of a prototype system. Furthermore, the extensibility of the system to handle large-scale datasets has also been discussed.","PeriodicalId":291424,"journal":{"name":"SIGGRAPH Asia 2015 Visualization in High Performance Computing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114747568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

GPU-based inverse rendering with multi-objective particle swarm optimization 基于gpu的多目标粒子群优化逆绘制

SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818523

Koki Nagano, T. Collins, Chi-An Chen, A. Nakano

引用次数: 1