[hpc-announce] IEEE Large-Scale Data Analysis and Visualization 2013 (LDAV 2013) - Call for Papers

[Venkatram Vishwanath]

Call For Papers
---------------------- 
IEEE Symposium on Large-Scale Data Analysis and Visualization 2013 (LDAV 2013)
October 13-14, 2013
Atlanta, Georgia

http://www.ldav.org/

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 them 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 Large Scale Data Analysis and Visualization (LDAV) symposium, to
be held in conjunction with IEEE VIS 2013, 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.

Scope:
We are looking for original research contributions on a broad-range of
topics related to the 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:

- 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
- Data mining and machine learning techniques for large data analysis
- Advanced hardware and system architectures for data handling,
  analysis or visualization
- Hierarchical data storage, retrieval or rendering
- Distributed, parallel or multi-threaded approaches
- MapReduce-based and Database-related methods, algorithms or approaches
- Data collection, management and curation
- Collaboration or co-design of data analysis with domain scientists
- Application case studies
- Topics in cognitive issues specific to manipulating and
  understanding large data
- Industry solutions for Big Data analytics and infrastructure

Submission Instructions:
Submitted manuscripts may not exceed maximum of eight (8) pages in
length, with an optional ninth page that can only contain
references. The length of the paper should be proportional to the
contributions it makes. We welcome short papers of 4 or 6 pages in
length. The manuscripts should be formatted according to guidelines
available on the IEEE VIS 2013 site.

Submission Site:
Go to the submission site (https://precisionconference.com/~vgtc) log
in, and select 'Submit to LDAV 2013 Papers'.

Important Dates :
Paper Registration including Abstract: May 8, 2013 (required), 11:59 PM PST
Paper Submission: May 15, 2013 (firm), 11:59 PM PST
Author Notification: July 31, 2013
Camera-Ready Deadline: August 21, 2013
 
Proceedings:
The proceedings of the symposium will be published together with the
IEEE VIS 2013 proceedings and via the IEEE Xplore Digital Library.

Best Paper:
The LDAV Program Committee will award a Best Papers award to the
authors whose submission is deemed the strongest according to the
reviewing criteria. This award will be announced at the event.

Symposium Chairs:
David Rogers, Sandia National Laboratories
Claudio Silva, New York University

Program Chairs: 
Berk Geveci, Kitware Inc.
Hanspeter Pfister, Harvard University
Venkatram Vishwanath, Argonne National Laboratory