[hpc-announce] LDAV 2016 CFP

Moreland, Kenneth kmorel at sandia.gov
Wed May 4 10:25:52 CDT 2016


			   Call for Papers

	   LDAV 2016 - Big Data Analysis and Visualization

   The 6th IEEE Symposium on Large Data Analysis and Visualization
		Held in conjunction with IEEE VIS 2016

	     October 23rd, 2016, Baltimore, Maryland, USA


		    *** Abstracts due June 17 ***
		   *** Full Papers due June 24 ***

		       Contact: papers at ldav.org


Modern large-scale scientific simulations, sensor networks, and
experiments are generating enormous datasets, with some projects
approaching the multiple exabyte range in the near term. Managing and
analyzing large datasets in order to transform it into insight is
critical for a variety of disciplines including climate science,
nuclear physics, security, materials design, transportation, and urban
planning. This is currently referred to as the Big Data Challenge. The
tools and approaches needed to mine, analyze, and visualize data at
extreme scales can be fully realized only if we have end-to-end
solutions, which demands collective, interdisciplinary efforts.

The 6th IEEE Large Scale Data Analysis and Visualization (LDAV)
symposium, to be held in conjunction with IEEE VIS 2016, is
specifically targeting possible end-to-end solutions. The LDAV
symposium will bring together domain scientists, data analysts,
visualization researchers, users, designers and artists, to foster
common ground for solving both near- and long-term problems.


We are looking for original research contributions on a broad-range of
topics related to collection, analysis, manipulation or visualization
of large-scale data. We also welcome position papers on these topics.

Topics of interest include, but are not limited to:

* Data collection, management and curation
* Innovative approaches combining information visualization, visual
    analytics, and scientific visualization
* Streaming methods for analysis, collection and visualization
* Novel, extreme or innovative methods for understanding and
    interacting with data
* Advanced hardware for data handling or visualization
* Distributed, parallel or multi-threaded approaches
* MapReduce-based and database-related methods, algorithms or
* Hierarchical data storage, retrieval or rendering
* Collaboration or co-design of data analysis with domain scientists
* Topics in cognitive issues specific to manipulating and
    understanding large data
* Application case studies
* Industry solutions for big data
* End-to-end system solutions
* New challenges in visualizing experimental, observational, or
    simulation data
* In situ visualization techniques


Submitted manuscripts may not exceed 8 pages. The manuscripts can be
4-8 pages, with the authors determining length based on the content.
The manuscripts should be formatted according to guidelines from IEEE

Submission site note: Go to the submission site
(https://precisionconference.com/~vgtc), log in, go to 'new
submissions', and select 'LDAV 2016 Papers'.


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 2016.


Please note: the abstract and paper deadlines are firm and no
extensions will be granted.

Abstract Deadline (firm): June 17, 2016
Paper Submission (firm):  June 24, 2016, 11:59 PM (AOE)
Author Notification:      August 10, 2016
Camera-Ready Deadline:    August 17, 2016

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