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Groups > comp.parallel > #1414
| From | Wes Bethel <ewbethel@lbl.gov> |
|---|---|
| Newsgroups | comp.parallel, news.announce.conferences |
| Subject | Call for papers: High Performance Data Analysis and Visualization (HPDAV 2015), an IPDPS 2015 workshop |
| Date | 2014-12-01 06:11 -0800 |
| Organization | A noiseless patient Spider |
| Message-ID | <547C770E.1000606@lbl.gov> (permalink) |
Cross-posted to 2 groups.
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 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. === 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 -- Wes Bethel -- voice (510) 486-7353 -- fax (510) 486-5812 -- vis.lbl.gov
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Call for papers: High Performance Data Analysis and Visualization (HPDAV 2015), an IPDPS 2015 workshop Wes Bethel <ewbethel@lbl.gov> - 2014-12-01 06:11 -0800
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