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 ...

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 ...

This seminar serves as a practical guide to Particle-Based Volume Rendering (PBVR) and its client-server system, which is one of a promising technique for large-scale visualization. The remote visualization using commodity software takes a long time ...

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 ...

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 ...

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 ...

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 ...

One of the most practical tools in economics is input-output analysis developed by Wassily Leontief in the late 1930s who received the Nobel Prize in Economic Science later for this pioneering work. Today governments, national and local, in most ...

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 ...

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. ...

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 ...

Kyoto Visualization System (KVS) is a multi-platform, open-source C++ Toolkit for developing scientific visualization applications. KVS provides useful classes to quickly implement surface rendering, volume rendering, point-based rendering, and others. ...

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 ...

We present a novel approach for handling sampling and compression in remote visualization in an integrative fashion. As adaptive sampling and compression share the same underlying concepts and criteria, the times spent for visualization and transfer can ...

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 ...

Cellular Automata (CA) based simulation can be employed to understand traffic heat emission at micro scale level. Simulation space is divided into cubes of various sizes that encapsulate temperature within the cubes volume at different time stamps. ...

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 ...

We present a novel, GPU-accelerated per-pixel inverse rendering (IR) optimization algorithm based on Particle Swarm Optimization (PSO), IRPSO. IRPSO estimates the per-pixel scene attributes including reflectance properties of a 3D model, and is fast ...