High Performance Data Analysis and Visualization (HPDAV) 2016
An IPDPS 2016 Workshop
23 May 2016
29 March 2016 Link to the HPDAV 2016 program/agenda
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.
Proceedings of the workshops are distributed at the conference and are submitted for inclusion in the IEEE Xplore Digital Library after the conference.
Paper TopicsWe invite papers on original, unpublished research in the following topic areas under the general umbrella of high performance visualization and analysis: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 systemwide level.
- Optimizations for improving performance, e.g., decreasing runtime, leveraging a deepening memory hierarchy, reducing data movement, 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.
- 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.
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 content.
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.
All papers, both short and full-length, will be evaluated on the following criteria:
- Appropriateness for the scope of the workshop
- Technical soundness, novelty, and creativity
- Short and full-length papers differ in terms of depth of detail and extensiveness of results. All papers, both short and full-length, should be presenting new ideas and material that are substantiated with results.
10 Jan 201625 Jan 2016. All submissions – long papers, short papers, panel proposal – are due Sunday, 10 Jan 2016Monday 25 Jan 2016, 23:59 Anywhere On Earth. Please submit your paper/panel proposal via this link:
to one of the following three tracks: full papers, short papers, panel.
7 Feb 201612 Feb 2016. Authors of all submissions – long papers, short papers, and panel proposals – will be notified of the review via email results by 12 Feb 2016.
- Camera-ready copy: 21 Feb 2016. Authors of are expected to do revisions and produce camera-ready copy by 21 Feb 2016, 23:59 AoE.
- Workshop date: 23 May 2016.
Presentation at the workshop
It is expected that each accepted submission will be presented at the workshop.
Jeff Baumes, Kitware
Janine Bennett, Sandia National Laboratory
Wes Bethel, Lawrence Berkeley National Laboratory (organizer)
Randall Frank, Applied Research Associates
Kelly Gaither, Texas Advanced Computing Center
Christoph Garth, University of Kaiserslautern
Berk Geveci, Kitware
David Hollman, Sandia National Laboratories (EC)
Brent Lessley, University of Oregon (EC)
Pat McCormick, Los Alamos National Laboratory
Vijay Natarajan, Indian Institute of Science
Paul Navratil, Texas Advanced Computing Center
Hoa Nguyen, University of Utah (EC)
Sang-Yun Oh, University of California – Santa Barbara
Rob Ross, Argonne National Laboratory
Yogesh Simmhan, Indian Institute of Science
Venkat Vishwanath, Argonne National Laboratory Johann Won, Seoul National University
John Wu, Lawrence Berkeley National Laboratory
(EC = early career PC member)
Please contact the workshop organizer via email at ewbethel at lbl dot gov.