2022 IEEE 12th Symposium on Large Data Analysis and Visualization LDAV

活动简介

The 12th IEEE Large Scale Data Analysis and Visualization (LDAV) symposium, to be held in conjunction with IEEE VIS 2022, is specifically targeting methodological innovation, algorithmic foundations, and possible end-to-end solutions. The LDAV symposium will bring together domain scientists, data analysts, visualization researchers, and users to foster common ground for solving both near- and long-term problems. Paper submissions are solicited for a long and short paper tracks. Topic emphasis is on algorithms, languages, systems, and/or hardware solutions that support the collection, analysis, manipulation, or visualization of large-scale data.

Sponsor Type:1

组委会

Symposium Chairs

Peer-Timo Bremer
Lawrence Livermore National Laboratory

Kristi Potter
National Renewable Energy Laboratory

Chaoli Wang
University of Notre Dame

Paper Chairs

Johanna Beyer
Harvard University

Paul Navratil
Texas Advanced Computing Center

Steffen Frey
University of Groningen

征稿信息

重要日期

2022-06-20

初稿截稿日期

2022-07-25

初稿录用日期

征稿范围

Representative topics include:

Distributed, parallel, and multi-threaded computation
Streaming methods
Innovative software solutions
Advanced hardware and GPU-based approaches
Hierarchical data storage, retrieval, processing, and rendering
Sampling, approximate query processing, and progressive computation
Collection, management, and curation of massive datasets
Scalable visualization and exploration methods
Ensemble data visualization and analysis
In-situ data analysis
Best practices for large data visualization
End-to-end system solutions in a large data context
Industry solutions for big data analysis and visualization
Collaboration or/and co-design of large data analysis with domain experts
Topics in cognitive issues specific to manipulating and understanding large data
Application case studies
New challenges in visualizing experimental, observational, or simulation data