[hpc-announce] Call for Papers: Large Data Analysis and Visualization (LDAV) 2018

Hongfeng Yu hfyu at unl.edu
Tue May 29 14:27:55 CDT 2018


                          Call for Papers

            LDAV 2018 - Large Data Analysis and Visualization

    The 8th IEEE Symposium on Large Data Analysis and Visualization
              Held in conjunction with IEEE VIS 2018

                 October 21, 2018, Berlin, Germany


                    *** Abstracts due June 17 ***
                   *** Full Papers due July 1 ***

                      Contact: papers at ldav.org


Data scales are increasing throughout scientific, business, and research 
contexts. Large-scale scientific simulations, observation technologies, 
sensor networks, and experiments are generating enormous datasets, with 
some projects approaching the multiple exabyte range in the near term. 

Gaining insight from massive data is critical for disciplines such as 
climate science, nuclear physics, security, materials design, 
transportation, urban planning, and so on. Business-critical decisions 
are made based on massive data in domains like social media, machine 
learning, software telemetry, and business intelligence. The tools and 
approaches needed to search, analyze, and visualize data at extreme 
scales can be fully realized only from end-to-end solutions, and with 
collective, interdisciplinary efforts. 

The 8th IEEE Large Scale Data Analysis and Visualization (LDAV) 
symposium, to be held in conjunction with IEEE VIS 2018, is specifically 
targeting methodological innovation, algorithmic foundations, and 
possible end-to-end solutions. The LDAV symposium will bring together 
domain experts, data analysts, visualization researchers, and users to 
foster common ground for solving both near- and long-term problems. 


We are looking for both original research contributions and position 
papers on a broad-range of topics related to collection, analysis, 
manipulation, and visualization of large-scale data. We are particularly 
interested in innovative approaches that combine information 
visualization, visual analytics, and scientific visualization. 

We are interested in methods for data at scale, including: 
* 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

We are also interested in understanding state of the art techniques, 
* Best practices for large data visualization
* End-to-end system solutions in a large data context
* Industry solutions for big data analysis and visualization

We are interested in research on the context of visualization, 
* Collaboration or/and co-design of large data analysis with domain 
* Topics in cognitive issues specific to manipulating and understanding 
  large data 
* Application case studies
* New challenges in visualizing experimental, observational, or 
  simulation data 

Full Papers
Full papers should have a maximum length of 9 pages with up to two (2) 
additional pages allowed for only references (maximum total of 11 
pages). Full papers may make contributions in techniques, systems, 
applications, evaluations, or theory. The contributions of full papers 
are reviewed based on their novelty, contribution, replicability, and 

Short Papers
Short papers should have a length of 4-5 pages in total. Short papers 
are a venue to report smaller contributions than full papers. Position 
papers and showcases of interesting application of visualization are 
good topics for short papers. Technique, system, application, 
evaluation, or theory papers that have a smaller contribution than a 
full paper can also be submitted as a short paper. 


LDAV is accepting both full papers and short papers. The manuscripts 
should be formatted according to guidelines from IEEE VGTC 
(http://www.cs.sfu.ca/~vis/Tasks/camera.html). Submission of an abstract 
is required prior to submission of a paper or short paper. 

Submission site note: Go to the submission site 
(https://new.precisionconference.com/vgtc), log in, go to 'Submissions', 
and select Society 'VGTC', Conference 'LDAV 2018', and Track 'LDAV 2018 


The proceedings of the symposium will be published together with the VIS 
proceedings and via the IEEE Xplore Digital Library. 


The LDAV Program Committee will present a Best Paper award to the 
authors whose submission is deemed the strongest according to the 
reviewing criteria. This award will be announced in conjunction with VIS 


Please note: all deadlines are firm and no extensions will be granted.

Abstract Deadline (firm):     June 17, 2018
Paper Submission (firm):      July 1, 2018, 11:59 PM (AOE)
Author Notification:          August 12, 2018
Camera-Ready Deadline (firm): August 17, 2018

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