High Performance Data Analysis and Visualization (HPDAV) 2015

High Performance Data Analysis and Visualization (HPDAV) 2015
An IPDPS 2015 Workshop, May 25-29, 2015, Hyderabad, India

=== Summary ===

– Workshop focus:  high performance data analysis, visualization, and
related data-intensive methods and techniques for evolving architectures
and large, complex datasets.

– Papers/panels: long papers (8-10 pages), short papers (4-5 pages), and
a panel.

– Due dates: paper/panel submissions due 5 Jan 2015, author notification
9 Feb 2015, camera-ready due 27 Feb 2015.

– Workshop dates: HPDAV 2015 is a one-day workshop that will be held in
conjunction with IPDPS 2015, which is May 25-29, 2015, in Hyderabad, India.

– Workshop web page: http://vis.lbl.gov/Events/HPDAV-IPDPS-2015/.

=== Workshop Theme ===

While the purpose of visualization and analysis is insight, realizing
that objective requires solving complex problems related to crafting or
adapting algorithms and applications to take advantage of evolving
architectures, and to solve increasingly complex data understanding
problems for ever larger and more complex data. These architectures, and
the systems from which they are built, have increasingly deep memory
hierarchies, increasing concurrency, decreasing relative
per-core/per-node I/O capacity, lessening memory per core, are
increasingly prone to failures, and face power limitations.

The purpose of this workshop is to bring together researchers,
engineers, and architects of data-intensive computing technologies,
which span visualization, analysis, and data management, to present and
discuss research topics germane to high performance data analysis and
visualization. Specifically, this workshop focuses on research topics
related to adapting/creating algorithms, technologies, and applications
for use on emerging computational architectures and platforms.

The workshop format includes traditional research papers (8-10 pages)
for in-depth topics, short papers (4 pages) for works in progress, and a
panel discussion.

=== Paper Topics ===

We invite papers on original, unpublished research in the following
topic areas under the general umbrella of high performance visualization
and analysis:

– Increasing concurrency at the node level, and at the system-wide level.

– Optimizations for improving performance, e.g., decreasing runtime,
leveraging a deepening memory hierarchy, reducing data move, reducing
power consumption.

– Applications of visualization and analysis, where there is a strong
thematic element related to being able to solve a larger or more complex
problem because  of algorithmic or design advances that take advantage
of increasing concurrency, architectural features, etc.

– Data analysis and/or visualization systems/designs/architectures
having an emphasis upon scalability, resilience,
high-throughput/high-capacity, and that are able to take advantage of
emerging architectures.

We anticipate a portion of the program to be dedicated to 20-minute
research  talks, and a portion to be dedicated to 10-minute short talks.

Paper format:

– Long papers: 8-10 pages, to provide a full problem description,
background and related work, methodology, and results.

– Short papers: 4 pages, for works in progress, vignettes, and topics of
more limited scope.

Latex and other templates: may be found via http://www.ipdps.org.

=== Panel Discussion ===

We solicit proposals for a panel, that would present position statements
on topics related to HPDAV and would be of interest to a broad audience.

Guidelines for panel submissions:

Content: Panel proposal statements should include the title of the
panel, the names of the panelists, an overall panel statement about the
focus and thesis of the panel, along with a brief position statement
from each of the prospective panelists.

Length: The panel proposal should be of sufficient length to convey the
main objective for the panel, along with a clear statement about each
panelist’s position. The following guidelines are not strict, but may
help give an idea of the level of detail: panel overview – 500 words;
each panelist’s statement – 200-400 words each.

Format: please submit a single PDF containing all of the panel proposal

This workshop anticipates having one panel discussion, which would
consist of 40 minutes of panelist presentations and 20 minutes of
audience discussion.

=== Peer review process ===

All submissions – long papers, short papers, panel proposal – will
undergo a peer-review process consisting of at least three reviewers.

=== Important dates ===

Workshop submissions: 5 Jan 2015. All submissions – long papers, short
papers, panel proposal – are due Monday, 5 Jan 2015, 23:59 Anywhere On
Earth. Please submit your paper/panel proposal via the EDAS website used
by IPDPS  (http://www.edas.info/) to one of the following three tracks:
full papers, short papers, panel.

Author notification: 9 Feb 2015. Authors of all submissions – long
papers, short papers, and panel proposals – will be notified of the
review via email results by 9 Feb 2015.

Camera-ready copy: 27 Feb 2015. Authors of are expected to do revisions
and produce camera-ready copy, which is due by 27 Feb 2015.

=== Presentation at the workshop ===

It is expected that each accepted submission will be presented at the
workshop, which will be held in conjunction with IPDPS 2015, May 25-29,
2015, in Hyderabad, India..

=== Program Committee ===

Wes Bethel, Lawrence Berkeley National Laboratory (organizer)
Randall Frank, Applied Research Associates
Kelly Gaither, Texas Advanced Computing Center
Berk Geveci, Kitware
Alex Gray, Skytree
Ken Joy, UC Davis
Pat McCormick, Los Alamos National Laboratory
Peter Nugent, Lawrence Berkeley National Laboratory
George Ostrouchov, Oak Ridge National Laboratory
Rob Ross, Argonne National Laboratory
John Shalf, Lawrence Berkeley National Laboratory
Dale Southard, NVIDIA
Craig Tull, Lawrence Berkeley National Laboratory
Venkat Vishwanath, Argonne National Laboratory
John Wu, Lawrence Berkeley National Laboratory


About Craig Anslow

Craig Anslow is a software visualization researcher understanding multi-touch table user interfaces with respect to software visualization.
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