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Top computational visualization R&D problems 2015: panel 2015年计算可视化研发热点问题:面板
SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818545
I. Fujishiro, Bing-Yu Chen, Wei Chen, Seok-Hee Hong, T. Itoh, K. Koyamada, K. Ono, J. Nonaka
{"title":"Top computational visualization R&D problems 2015: panel","authors":"I. Fujishiro, Bing-Yu Chen, Wei Chen, Seok-Hee Hong, T. Itoh, K. Koyamada, K. Ono, J. Nonaka","doi":"10.1145/2818517.2818545","DOIUrl":"https://doi.org/10.1145/2818517.2818545","url":null,"abstract":"In this panel discussion, I want to share some opinions about the Data Visualization (or Information Visualization, i.e., InfoVis) without display and/or viewer to make the audiences think about some challenging cases while providing information to users. Some examples are also introduced, which probably may inspire some new directions for the research of Data Visualization as well as Information Visualization.","PeriodicalId":291424,"journal":{"name":"SIGGRAPH Asia 2015 Visualization in High Performance Computing","volume":"33 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":"115511135","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: 5
DATACOLLIDER: an interface for exploring large spatio-temporal data sets DATACOLLIDER:用于探索大型时空数据集的接口
SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818535
Oliver Senn, Muhammad Khairul, Martina Maitan, Riki Pribadi, Mohit Shah, R. Sivaprakasam
{"title":"DATACOLLIDER: an interface for exploring large spatio-temporal data sets","authors":"Oliver Senn, Muhammad Khairul, Martina Maitan, Riki Pribadi, Mohit Shah, R. Sivaprakasam","doi":"10.1145/2818517.2818535","DOIUrl":"https://doi.org/10.1145/2818517.2818535","url":null,"abstract":"The increasing use of social media and cell phones or the widespread setup of sensors have resulted in the production of large data sets, both time stamped and geolocated, which are a powerful window on social interactions or city dynamics. Unfortunately, the sheer size of these data sets presents difficulties for their manipulation and understanding. Visualization is often the first step to explore these data sets but the tools dedicated to spatio-temporal data are still scarce. In this paper, we present DATACOLLIDER, a web application which provides a processing engine and new templates for 2D/3D visualization housed in an interface that enables users to quickly interact with large data sets. We demonstrate that the interface can be tailored to leverage distributed computing, data set manipulation and refined visualizations, and may be used by individuals without programming knowledge.","PeriodicalId":291424,"journal":{"name":"SIGGRAPH Asia 2015 Visualization in High Performance Computing","volume":"42 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":"115475846","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
Multivariate volume rendering using transfer function synthesizer implemented in remote visualization system PBVR 基于传递函数合成器的多变量体绘制在PBVR远程可视化系统中实现
SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818539
Takuma Kawamura, Y. Idomura, H. Miyamura, H. Takemiya
{"title":"Multivariate volume rendering using transfer function synthesizer implemented in remote visualization system PBVR","authors":"Takuma Kawamura, Y. Idomura, H. Miyamura, H. Takemiya","doi":"10.1145/2818517.2818539","DOIUrl":"https://doi.org/10.1145/2818517.2818539","url":null,"abstract":"In this paper, we propose a novel transfer function design technique for multivariate volume rendering. This technique generates a multidimensional transfer function by logical synthesis of variables and transfer functions. This technique enables analysts to extract correlation of variables and to combine multivariate surface and volume shapes. And this technique is implemented in Remote Visualization System PBVR optimized to several supercomputers. An experiment for the multi-phase fuel melting simulation result in the nuclear energy field shows the powerful ability of this technique enough by extracting complex behavior of molten materials.","PeriodicalId":291424,"journal":{"name":"SIGGRAPH Asia 2015 Visualization in High Performance Computing","volume":"15 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":"116756572","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: 3
Towards in situ visualization of extreme-scale, agent-based, worldwide disease-spreading simulations 对极端规模，基于代理，全球疾病传播模拟的现场可视化
SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818543
A. Krekhov, Jürgen Grüninger, Rainer Schlönvoigt, J. Krüger
{"title":"Towards in situ visualization of extreme-scale, agent-based, worldwide disease-spreading simulations","authors":"A. Krekhov, Jürgen Grüninger, Rainer Schlönvoigt, J. Krüger","doi":"10.1145/2818517.2818543","DOIUrl":"https://doi.org/10.1145/2818517.2818543","url":null,"abstract":"Exascale computing is regarded as a major milestone for a number of application fields. However, utilizing the massively parallel power of such architectures requires a significant paradigm shift in the software structure of both simulation and visualization systems. A suboptimal workload distribution, communication bottlenecks between processes, as well as global memory accesses are often the limiting part in current approaches when it comes to the execution of such software in an exascale environment. Recent cases of malaria and Ebola in Africa have shown that there is a need for disease-spreading simulations to help healthcare workers better predict unexpected scenarios and take the necessary precautions. Reaction time plays an important role when it comes to containing a disease. Therefore, converting these kinds of demanding simulations to highly parallel computing systems as well as interactively visualizing the results is key. This paper demonstrates an approach towards a worldwide simulation of disease-spreading and an integrated---in situ---visualization. Instead of applying large-scale stochastic models, our agent-based method simulates the complete population of the world, accounting for daily tasks and routines of each subject. We focus on massive parallelization and efficient scaling to benefit from existing petascale to upcoming exascale setups. In particular, workload distribution is performed based on space partitioning and not on the population count, which is nonetheless included as an initial optimization. The resulting simulation is combined with a query-driven in situ visualization client that directly utilizes the spatial partitioning and the employed hierarchy. Our preliminary benchmarks underline the scalability of our approach in terms of rising computing power and encourage further research in the direction of worldwide, agent-based simulations and the corresponding in situ visualizations.","PeriodicalId":291424,"journal":{"name":"SIGGRAPH Asia 2015 Visualization in High Performance Computing","volume":"453 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":"116764335","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: 6
A bottom-up scheme for user-defined feature comparison in ensemble data 自定义的自底向上的集成数据特征比较方案
SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818531
Richen Liu, Hanqi Guo, Xiaoru Yuan
{"title":"A bottom-up scheme for user-defined feature comparison in ensemble data","authors":"Richen Liu, Hanqi Guo, Xiaoru Yuan","doi":"10.1145/2818517.2818531","DOIUrl":"https://doi.org/10.1145/2818517.2818531","url":null,"abstract":"Most of the existing approaches to visualizing the vector field ensembles are achieved by visualizing the uncertainty of individual variables of different simulation runs, for example, geometry distance, statistics, variability etc. However, the comparison of the derived feature or user-defined feature (e.g. vortex) is also of vital significance since they often make more sense according to the domain knowledge. In this paper, we present a new framework to extract user-defined feature from different simulation runs. Specially, we use a bottom-up searching scheme to help extract vortex with a user-defined shape. We further compute the geometry information including the size, and the geo-spatial location of the extracted vortex, and design some link views to compare them between different runs. Results show that our method is capable of extracting user-defined feature across different runs and comparing them spatially and temporally.","PeriodicalId":291424,"journal":{"name":"SIGGRAPH Asia 2015 Visualization in High Performance Computing","volume":"210 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":"131414395","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: 11
A tree style visualization method for cell divisions of embryos 胚胎细胞分裂的树型可视化方法
SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818537
Kiri Nakata, Tsuyoshi Tatsukawa, I. Arai
{"title":"A tree style visualization method for cell divisions of embryos","authors":"Kiri Nakata, Tsuyoshi Tatsukawa, I. Arai","doi":"10.1145/2818517.2818537","DOIUrl":"https://doi.org/10.1145/2818517.2818537","url":null,"abstract":"Large quantities of experimental data on cell division is stored in SSBD as open data. Because cells are continuously divided into two cells, we can represent them in a binary tree structure. Developing a visualizing tool with the tree, distance on the tree, and similarity may provides a scientists(typically biologist) with a new perspective on biology.","PeriodicalId":291424,"journal":{"name":"SIGGRAPH Asia 2015 Visualization in High Performance Computing","volume":"25 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":"115371208","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
High performance heterogeneous computing for collaborative visual analysis 协同可视化分析的高性能异构计算
SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818534
J. Li, Jia-Kai Chou, K. Ma
{"title":"High performance heterogeneous computing for collaborative visual analysis","authors":"J. Li, Jia-Kai Chou, K. Ma","doi":"10.1145/2818517.2818534","DOIUrl":"https://doi.org/10.1145/2818517.2818534","url":null,"abstract":"Visual analysis of large and complex data often requires multiple analysts with diverse expertise and different perspectives to collaborate in order to reveal hidden structures and gain insight in the data. While collaborative visualization allows multiple users to collectively work on the same analytic task, the user side computing devices can be used to share the computation workload for demanding data transformations and visualization calculations. In this paper, we present a heterogeneous computing framework for effective utilization of all the connected client devices to enhance the usability of online visualization applications.","PeriodicalId":291424,"journal":{"name":"SIGGRAPH Asia 2015 Visualization in High Performance Computing","volume":"1 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":"120963379","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: 9
Volume rendering with data parallel visualization frameworks for emerging high performance computing architectures 基于数据并行可视化框架的体绘制，用于新兴的高性能计算体系结构
SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818546
Hendrik A. Schroots, K. Ma
{"title":"Volume rendering with data parallel visualization frameworks for emerging high performance computing architectures","authors":"Hendrik A. Schroots, K. Ma","doi":"10.1145/2818517.2818546","DOIUrl":"https://doi.org/10.1145/2818517.2818546","url":null,"abstract":"Future exascale computing is demanding more and more parallelism from current software if peak computation rates are to be realized. However, exploiting this additional parallelism is not trivial. One approach is to identify finer grained parallelism using data parallel primitives (DPP). Visualization frameworks such as Dax and VTK-m are being developed using DPP for this purpose. Our work presents an exploratory study of how volume rendering maps to current and future super computing architectures. We implement a ray casting and cell projection volume renderer in Dax using DPP and compare their performance on three different hardware architectures. Despite the portability provided by these frameworks, we observe that additional architecture specific modifications are necessary to achieve acceptable performance on some architectures.","PeriodicalId":291424,"journal":{"name":"SIGGRAPH Asia 2015 Visualization in High Performance Computing","volume":"21 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":"129073919","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: 14
Realistic representation of clouds in Google Earth 云在谷歌地球上的现实表现
SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818541
Shintaro Kawahara, R. Onishi, K. Goto, Keiko Takahashi
{"title":"Realistic representation of clouds in Google Earth","authors":"Shintaro Kawahara, R. Onishi, K. Goto, Keiko Takahashi","doi":"10.1145/2818517.2818541","DOIUrl":"https://doi.org/10.1145/2818517.2818541","url":null,"abstract":"We have developed a very simple method to represent cloud realistically with the aid of Google Earth. Two physical quantities computed in the atmospheric simulation model are utilized for the method. Figure 1 shows the display results of applying the proposed method. In this method, the downward shortwave radiation is used for determining the color of clouds and the cloud content for the opacity. These physical quantities are visualized separately by using the volume representation function of VDVGE and exported as content files for Google Earth. PNG images included in each content file are combined as new images with the color based on the downward shortwave radiation and the opacity based on the cloud content.","PeriodicalId":291424,"journal":{"name":"SIGGRAPH Asia 2015 Visualization in High Performance Computing","volume":"14 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":"121464977","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: 9
Visualizing the time-varying crowd mobility 可视化随时间变化的人群流动性
SIGGRAPH Asia 2015 Visualization in High Performance Computing Pub Date : 2015-11-02 DOI: 10.1145/2818517.2818540
Feiran Wu, Minfeng Zhu, Xin Zhao, Qi Wang, Wei Chen, Ross Maciejewski
{"title":"Visualizing the time-varying crowd mobility","authors":"Feiran Wu, Minfeng Zhu, Xin Zhao, Qi Wang, Wei Chen, Ross Maciejewski","doi":"10.1145/2818517.2818540","DOIUrl":"https://doi.org/10.1145/2818517.2818540","url":null,"abstract":"Modeling human mobility is a critical task in fields such as urban planning, ecology, and epidemiology. Given the current use of mobile phones, there is an abundance of data that can be used to create models of high reliability. Existing techniques can reveal the macro-patterns of crowd movement, or analyze the trajectory of an individual object; however, they focus on geographical characteristics. In this paper, we employ a novel data representation, the mobility transition graph, which is generated from a citywide human mobility dataset by defining the temporal trends of crowd mobility and the interleaved transitions between different mobility patterns. We describe the design, creation and manipulation of the mobility transition graph and demonstrate the efficiency of our approach by case study.","PeriodicalId":291424,"journal":{"name":"SIGGRAPH Asia 2015 Visualization in High Performance Computing","volume":"117 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":"124152117","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: 6
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