NAG's IRIS Explorer
نویسنده
چکیده
Data visualization can be defined as the gaining of insight by making a picture out of numbers, and the important role that it plays in the effective interpretation and analysis of numerical data has been recognized for a long time [1]. The type of data to be analyzed can vary from one-dimensional time series (e.g. yearly changes in salary) to multidimensional vector-based datasets (e.g. air flow over an airplane wing). Whilst the simpler types of data can be effectively displayed using ubiquitous desktop applications such as Excel, more complex data require more sophisticated visualization techniques and applications.
منابع مشابه
Making Remote Tools Available for Visualization of Large Data Sets: Parallel Isosurface Calculation and Rendering of Large Data Sets in IRIS Explorer
The foremost challenge in visualization is the ability to best convey large amounts of information given limited resources. In this paper we study a framework that offers diverse high level visualization tools to scientists whose primary computer interface is a desktop workstation networked to multi-processor compute engine. As a case study we discuss an implementation for isosurface computatio...
متن کاملgViz – Visualization and Steering for the Grid
This paper describes work in the e-Science Core Programme project, gViz, to develop visualization middleware. The focus in this paper is the evolution of our work to Grid-enable IRIS Explorer, a widely used dataflow visualization system from NAG. A crucial feature of IRIS Explorer is the ability to include user-written simulation code as part of the dataflow pipeline, offering the opportunity o...
متن کاملPerspectives on the IRIS Explorer Visualization Environment
• I¸k " • k-Abstract A critique of Silicon Graphics, Inc.'s medium grain data flow scientific visualization environment IRIS Explorer is presented. Explorer shows promise as an important tool for users to quickly and easily build custom distributed visualization applications. Developers can use Explorer to create new visualization techniques without re-implementing common functionality. There a...
متن کاملData Visualisation with IRIS Explorer—What's New?
The use of IRIS Explorer, a data visualisation toolkit, is described with reference to some examples from the fields of chemistry, computational fluid dynamics and finite element analysis. Some of the new features in the latest version of the toolkit are highlighted, and its relationship to other technologies such as the NAG Fortran 77 library, Open Inventor and VRML are discussed in detail.
متن کاملVisualization Systems and the Internet
The paper discusses how established dataflow visualization systems such as IRIS Explorer can be extended to take advantage of two new opportunities for visualization offered by the Internet. The first is the use of the Web as a distributed computing environment in which visualization services can be provided. The techniques fall roughly into two classes: client-based systems, where execution of...
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تاریخ انتشار 2003