1999
DOI: 10.1109/2.809252
|View full text |Cite
|
Sign up to set email alerts
|

Interactive simulation and visualization

Abstract: As computational engineering and science applications have grown in size and complexity, the process of analyzing and visualizing the resulting vast amounts of data has become an increasingly difficult task. Traditionally, data analysis and visualization are performed as post-processing steps after a simulation has been run. As simulations have increased in size, this task has become increasingly difficult-often requiring significant computation, high-performance machines, high capacity storage, and high bandw… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
36
0
1

Year Published

2001
2001
2007
2007

Publication Types

Select...
5
3
2

Relationship

0
10

Authors

Journals

citations
Cited by 68 publications
(37 citation statements)
references
References 9 publications
0
36
0
1
Order By: Relevance
“…Typical examples include volumetric CT/MRI/MRA data, computational fluid dynamics data, and finite element solutions to bioelectric field problems. Recent research has focused on diffusion tensor MRI and multimodal medical data such as fused MRI/EEG volumes [14]. These datasets range in size from megabytes to gigabytes and may be static or time-varying on a variety of grid types.…”
Section: Design Goals and Implementation Issuesmentioning
confidence: 99%
“…Typical examples include volumetric CT/MRI/MRA data, computational fluid dynamics data, and finite element solutions to bioelectric field problems. Recent research has focused on diffusion tensor MRI and multimodal medical data such as fused MRI/EEG volumes [14]. These datasets range in size from megabytes to gigabytes and may be static or time-varying on a variety of grid types.…”
Section: Design Goals and Implementation Issuesmentioning
confidence: 99%
“…Compared with the post-processing model, this model provides a mechanism through which the user is able to control and manipulate the proceeding of the simulation and may then alter the processing steps as required. This process is continuous, dynamic and interactive (Hibbard, 1998;Johnson, 1999).…”
Section: Interactive Simulation and Visualizationmentioning
confidence: 99%
“…SCIRun Overview SCIRun is a scientific programming environment that allows the interactive construction, debugging and steering of large-scale, 3D scientific computations [Johnson, 1999], [Parker, 1998]. By design, SCIRun provides a high-level control over parameters in an efficient and intuitive way through GUIs and scientific visualization.…”
Section: Scirun Frameworkmentioning
confidence: 99%