scholarly journals ReVisE: Remote visualization environment for large numerical simulation datasets

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0255030
Author(s):  
Stepan Orlov ◽  
Alexey Kuzin ◽  
Alexey Zhuravlev ◽  
Vyacheslav Reshetnikov ◽  
Egor Usik ◽  
...  
Keyword(s):  
System Development ◽  
Real Life ◽  
Interactive Visualization ◽  
Large Datasets ◽  
Performance Measurements ◽  
Remote Visualization ◽  
Visualization System ◽  
Remote Server ◽  
Visualization Systems ◽  
Future Plans

The paper presents a new open-source visualization system, named ReVisE, aimed to provide interactive visualization of large datasets, which are results of complex numerical simulations. These datasets are hosted on a remote server or a supercomputer. The design of the system is briefly described. Dataset representation, proposed for interactive visualization and implemented in the system, is discussed. The effectiveness of our approach is confirmed by results of performance measurements on test and real-life large datasets. A comparison with other visualization systems is presented. Future plans of system development are outlined.

Grid-Based Visualization and its Medical Applications

2011 ◽  
pp. 25-57 ◽  
Author(s):  
Yingjun Qiu ◽  
Youbing Zhao ◽  
Jiaoying Shi
Keyword(s):  
Grid Computing ◽  
Large Scale ◽  
Interactive Visualization ◽  
Research Direction ◽  
Data Sets ◽  
Computing Technology ◽  
Visualization System ◽  
Huge Data ◽  
Visualization Systems ◽  
Grid Based

Traditional visualization approaches cannot handle new challenges in the visualization field such as visualizing huge data sets, communicating between existing visualization systems and providing interactive visualization services, widely. In this chapter, the authors introduce an emerging research direction in the visualization field, grid-based visualization, which aims to resolves the above problems by utilizing grid computing technology. However, current grid computing technology is almost batch job-oriented and does not support interactive visualization applications natively. In this chapter, the authors implement a grid-based visualization system (GVis) which utilizes large-scale computing resources to achieve large dataset visualization in real time and provides end users with reliable interactive visualization services, widely. In GVis system, current grid computing technology is extended to support interactive visualization applications.

CandidTree: Visualizing Structural Uncertainty in Similar Hierarchies

2007 ◽  
Vol 6 (3) ◽  
pp. 233-246 ◽  
Author(s):  
Bongshin Lee ◽  
George G. Robertson ◽  
Mary Czerwinski ◽  
Cynthia Sims Parr
Keyword(s):  
User Study ◽  
Interactive Visualization ◽  
User Studies ◽  
Structural Uncertainty ◽  
Usability Study ◽  
Tree Structures ◽  
Visualization System ◽  
Tree Comparison ◽  
Software Engineers ◽  
Visualization Systems

Most visualization systems fail to convey uncertainty within data. To provide a way to show uncertainty in similar hierarchies, we interpreted the differences between two tree structures as uncertainty. We developed a new interactive visualization system called CandidTree that merges two trees into one and visualizes two types of structural uncertainty: location and sub-tree structure uncertainty. Since CandidTree can visualize the differences between two tree structures, we conducted a series of user studies with tree-comparison tasks. First a usability study was conducted to identify major usability issues and evaluate how our system works. Another qualitative user study was conducted to see if biologists, who regularly work with hierarchically organized names, are able to use CandidTree, and to assess the ‘uncertainty’ metric we used. A controlled experiment with software engineers was conducted to compare CandidTree with WinDiff, a traditional files and folders comparison tool. The results showed that users performed better with CandidTree. Furthermore, CandidTree received better satisfaction ratings and all users preferred CandidTree to WinDiff.

Visualization

2012 ◽  
pp. 381-413 ◽  
Author(s):  
Joanna Leng ◽  
Theresa-Marie Rhyne ◽  
Wes Sharrock
Keyword(s):  
Interactive Simulation ◽  
Computational Steering ◽  
Remote Visualization ◽  
The Public ◽  
Research Areas ◽  
Current Trends ◽  
Computational Aesthetics ◽  
Software And Hardware ◽  
Disciplinary Background ◽  
Visualization Systems

This chapter focuses on state of the art at the intersection of visualization and CSE. From understanding current trends it looks to future applications for these technologies. Some background is provided into visualization and its relation with CSE as well as with software and hardware frameworks that visualization systems depend on. Important emerging research areas are identified, including: interactive simulation and computational steering; collaborative, remote visualization and visualization services; VR technologies for visualization; user experience and assessment; teaching and serious gaming; communicating science to the public; ultra-scale visualization; and computational aesthetics. This should present the readers with real possibilities for CSE no matter what their disciplinary background.

Explaining Algorithms

2011 ◽  
pp. 2261-2279
Author(s):  
Tomasz Muldner ◽  
Elhadi Shakshuki
Keyword(s):  
Distance Education ◽  
Main Idea ◽  
Top Down ◽  
Levels Of Abstraction ◽  
Visualization System ◽  
Client Server ◽  
Novel Approach ◽  
Visualization Systems ◽  
Explanation System ◽  
Server Architecture

This article presents a novel approach for explaining algorithms that aims to overcome various pedagogical limitations of the current visualization systems. The main idea is that at any given time, a learner is able to focus on a single problem. This problem can be explained, studied, understood, and tested, before the learner moves on to study another problem. Toward this end, a visualization system that explains algorithms at various levels of abstraction has been designed and implemented. In this system, each abstraction is focused on a single operation from the algorithm using various media, including text and an associated visualization. The explanations are designed to help the user to understand basic properties of the operation represented by this abstraction, for example its invariants. The explanation system allows the user to traverse the hierarchy graph, using either a top-down (from primitive operations to general operations) approach or a bottom-up approach. Since the system is implemented using a client-server architecture, it can be used both in the classroom setting and through distance education.

Sign in / Sign up

Export Citation Format

Share Document