第12届IEEE大数据分析与可视化研讨会(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.

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

主办单位

IEEE Computer Society

联系方式

ldav@ieeevis.org