Abstract
We present P5, a web-based visualization toolkit that combines declarative visualization grammar and GPU computing for progressive data analysis and visualization. To interactively analyze and explore big data, progressive analytics and visualization methods have recently emerged. Progressive visualizations of incrementally refining results have the advantages of allowing users to steer the analysis process and make early decisions. P5 leverages declarative grammar for specifying visualization designs and exploits GPU computing to accelerate progressive data processing and rendering. The declarative specifications can be modified during progressive processing to create different visualizations for analyzing the intermediate results. To enable user interactions for progressive data analysis, P5 utilizes the GPU to automatically aggregate and index data based on declarative interaction specifications to facilitate effective interactive visualization. We demonstrate the effectiveness and usefulness of P5 through a variety of example applications and several performance benchmark tests.
| Original language | English (US) |
|---|---|
| Article number | 8809730 |
| Pages (from-to) | 1151-1160 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Visualization and Computer Graphics |
| Volume | 26 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2020 |
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Keywords
- data exploration
- GPU computing
- Information visualization
- progressive analytics
- visualization software
ASJC Scopus subject areas
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Computer Graphics and Computer-Aided Design
Cite this
P5 : Portable Progressive Parallel Processing Pipelines for Interactive Data Analysis and Visualization. / Li, Jianping Kelvin; Ma, Kwan Liu.
In: IEEE Transactions on Visualization and Computer Graphics, Vol. 26, No. 1, 8809730, 01.2020, p. 1151-1160.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - P5
T2 - Portable Progressive Parallel Processing Pipelines for Interactive Data Analysis and Visualization
AU - Li, Jianping Kelvin
AU - Ma, Kwan Liu
PY - 2020/1
Y1 - 2020/1
N2 - We present P5, a web-based visualization toolkit that combines declarative visualization grammar and GPU computing for progressive data analysis and visualization. To interactively analyze and explore big data, progressive analytics and visualization methods have recently emerged. Progressive visualizations of incrementally refining results have the advantages of allowing users to steer the analysis process and make early decisions. P5 leverages declarative grammar for specifying visualization designs and exploits GPU computing to accelerate progressive data processing and rendering. The declarative specifications can be modified during progressive processing to create different visualizations for analyzing the intermediate results. To enable user interactions for progressive data analysis, P5 utilizes the GPU to automatically aggregate and index data based on declarative interaction specifications to facilitate effective interactive visualization. We demonstrate the effectiveness and usefulness of P5 through a variety of example applications and several performance benchmark tests.
AB - We present P5, a web-based visualization toolkit that combines declarative visualization grammar and GPU computing for progressive data analysis and visualization. To interactively analyze and explore big data, progressive analytics and visualization methods have recently emerged. Progressive visualizations of incrementally refining results have the advantages of allowing users to steer the analysis process and make early decisions. P5 leverages declarative grammar for specifying visualization designs and exploits GPU computing to accelerate progressive data processing and rendering. The declarative specifications can be modified during progressive processing to create different visualizations for analyzing the intermediate results. To enable user interactions for progressive data analysis, P5 utilizes the GPU to automatically aggregate and index data based on declarative interaction specifications to facilitate effective interactive visualization. We demonstrate the effectiveness and usefulness of P5 through a variety of example applications and several performance benchmark tests.
KW - data exploration
KW - GPU computing
KW - Information visualization
KW - progressive analytics
KW - visualization software
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UR - http://www.scopus.com/inward/citedby.url?scp=85075618985&partnerID=8YFLogxK
U2 - 10.1109/TVCG.2019.2934537
DO - 10.1109/TVCG.2019.2934537
M3 - Article
C2 - 31442985
AN - SCOPUS:85075618985
VL - 26
SP - 1151
EP - 1160
JO - IEEE Transactions on Visualization and Computer Graphics
JF - IEEE Transactions on Visualization and Computer Graphics
SN - 1077-2626
IS - 1
M1 - 8809730
ER -