[Ieee_vis] Going Virtual ISAV 2020: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
Earl Duque
epd at ilight.com
Mon Aug 24 21:30:46 CEST 2020
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*ISAV 2020 is going virtual
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SC20 is going virtual and so is ISAV 2020. This change will not affect
the process for paper submission, review, selection, ISAV program
formation, and proceedings publication.
Authors of accepted papers will be required to pre-record their
presentation, which will be streamed during the ISAV workshop. Authors
will have to be online as their presentation is streamed to answer
questions in real time. Detailed instructions will be provided to
authors once the paper selection is done (Refer to SC20 FAQ
<https://sc20.supercomputing.org/attend/virtual-event-faq/>)
Be aware that every person whose voice and/or image appears via the
virtual platform as part of ISAV will have to submit a signed Consent
and Release form.
More details will be forthcoming. Please check the ISAV 2020 webpage
<https://dav.lbl.gov/events/ISAV2020/>and the SC20 FAQ
<https://sc20.supercomputing.org/attend/virtual-event-faq/>for more
information.
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*Call for Papers*
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*
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*****
ISAV 2020: In Situ Infrastructures for Enabling Extreme-Scale Analysis
and Visualization
Held in conjunction with SC20: The International Conference on High
Performance Computing, Networking, Storage and Analysis
ISAV 2020 --
https://dav.lbl.gov/events/ISAV2020/<https://vis.lbl.gov/events/ISAV2020/>
Full-day 10:00 AM - 6:30 PM EST Thursday 12 Nov 2020
Workshop Theme
The considerable interest in the HPC community regarding in situ
analysis and visualization is due to several factors. First is an I/O
cost savings, where data is analyzed/visualized while being generated,
without first storing to a file system. Second is the potential for
increased accuracy, where fine temporal sampling of transient analysis
might expose some complex behavior missed in coarse temporal sampling.
Third is the ability to use all available resources, CPUs and
accelerators, in the computation of analysis products.
The workshop brings together researchers, developers and practitioners
from industry, academia, and government laboratories developing,
applying, and deploying in situ methods in extreme-scale, high
performance computing. The goal is to present research findings, lessons
learned, and insights related to developing and applying in situ methods
and infrastructure across a range of science and engineering
applications in HPC environments; to discuss topics like opportunities
presented by new architectures, existing infrastructure needs,
requirements, and gaps, and experiences to foster and enable in situ
analysis and visualization; to serve as a “center of gravity” for
researchers, practitioners, and users/consumers of in situ methods and
infrastructure in the HPC space.
Participation/Call for Papers and Oral Presentations
We invite two types of submissions to ISAV 2020: (1) short, 4-page
(+references) papers that present research results, that identify
opportunities or challenges, and that present case studies/best
practices for in situ methods/infrastructure in the areas of data
management, analysis and visualization; (2) lightning presentation
submissions, which consist of a 1- or 2-page (+references) proposed
presentation description, for a brief oral presentation at the workshop.
Short papers will appear in the workshop proceedings and will be invited
to give an oral presentation of 15 to 20 minutes; lightning round
submissions that are invited to present at the workshop will have author
names and titles included as part of the proceedings. Submissions of
both types are welcome that fall within one or more areas of interest,
as follows:
Areas of interest for ISAV, include, but are not limited to:
In situdata management and infrastructures
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Current Systems: production quality, research prototypes
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Opportunities
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Gaps
System resources, hardware, and emerging architectures
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Enabling Hardware
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Hardware and architectures that provide opportunities for In situ
processing, such as burst buffers, staging computations on I/O
nodes, sharing cores within a node for both simulation and in situ
processing
Methods and Algorithms
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Best practices
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Analysis: feature detection, statistical methods, temporal methods,
geometric and topologicalmethods
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Visualization: information visualization, scientific visualization,
time-varying methods
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Data reduction/compression
Case Studies and Data Sources
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Examples/case studies of solving a specific science challenge with
in situ methods/infrastructure.
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In situ methods/systems applied to data from simulations and/or
experiments/observations
Simulation and Workflows
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Integration:data modeling, software-engineering
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Workflows for supporting complex in situ processing pipelines
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Composability and interoperability
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Resilience: error detection, fault recovery;
Requirements, Usability
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Reproducibility, provenance and metadata
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Using in situ to enable rapid and flexible post-processing
exploration and analysis
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Simplified access to extreme heterogeneous resources
Review Process
All submissions will undergo a peer-review process consisting of three
reviews by experts in the field, and evaluated according to relevance to
the workshop theme, technical soundness, creativity, originality, and
impactfulness of method/results. Lightning round submissions will be
evaluated primarily for relevance to the workshop.
Submission Process
Authors are invited to submit papers of at most 4 pages in PDF format,
excluding references, and lightning presentations of at most 2 pages in
PDF format, excluding references. Papers must be submitted in PDF format
(readable by Adobe Acrobat Reader 5.0 and higher) and formatted for 8.5”
x 11” (U.S. Letter). Please use the sigconfconfiguration in the new
combined LaTeX template from ACM available at
https://www.acm.org/publications/authors/submissions.
We believe that reproducible science is essential and that SC should be
a leader in this effort. As a consequence ISAV 2020 participates in the
SC reproducibility initiative and encourages submitters to include an
appendix with reproducibility information. While we will not disqualify
a paper based on information provided or not provided in this appendix,
nor if the appendix is not available, the availability and quality of an
appendix will receive added consideration when ranking a paper for the
Best Paper Award. For more information, see theISAV 2020 reproducibility
FAQ <https://dav.lbl.gov/events/ISAV2020/reproducibility-faq.html>.
Papers must be self-contained and provide the technical substance
required for the program committee to evaluate their contributions.
Submitted papers must be original work that has not appeared in and is
not under consideration for another conference or a journal. See theACM
Prior Publication Policy <http://www.acm.org/publications/policies/>for
more details. Please submit your paper through this link
<https://submissions.supercomputing.org/?page=Submit&id=SC20WorkshopISAV2020PaperSubmission&site=sc20>.
A preview of the paper submission form is availableat this link
<https://submissions.supercomputing.org/?page=SampleForm&id=SC20WorkshopISAV2020PaperSubmission&site=sc20>.
Publication in proceedings, presentation at the workshop
All paper submissions that receive favorable reviews will be included as
part of the workshop proceedings, which will be published by the ACM,
and will appear in the ACM Digital Library as part of the International
Conference Proceedings Series (https://dl.acm.org/icps.cfm). Lightning
round titles and author names will also be included in the proceedings,
but the lightning round 2-page submission will not be included as part
of the proceedings.
Subject to the constraints of workshop length, some subset of the
accepted publications will be invited to give a brief oral presentation
at the workshop. The exact number of such presentations and their length
will be determined after the review process has been completed.
ISAV 2020 is going virtual
SC20 is going virtual and so is ISAV 2020. This change will not affect
the process for paper submission, review, selection, ISAV program
formation, and proceedings publication.
Authors of accepted papers will be required to pre-record their
presentation, which will be streamed during the ISAV workshop. Authors
will have to be online as their presentation is streamed to answer
questions in real time. Detailed instructions will be provided to
authors once the paper selection is done (Refer to SC20 FAQ
<https://sc20.supercomputing.org/attend/virtual-event-faq/>)
Be aware that every person whose voice and/or image appears via the
virtual platform as part of ISAV will have to submit a signed Consent
and Release form.
More details will be forthcoming. Please check the ISAV 2020 webpage
<https://dav.lbl.gov/events/ISAV2020/>and the SC20 FAQ
<https://sc20.supercomputing.org/attend/virtual-event-faq/>for more
information.
Timeline/Important Dates
4 September 2020
Paper submission deadline
2 October 2020
Author notification
16 October 2020
Camera ready copy due
23 October 2020
Upload recorded video presentation
Late October 2020
Final program posted to ISAV web page
12 November 2020
Virtual ISAV 2020 workshop at SC20
Committees and Chairs
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General chair and co-chair:
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Silvio Rizzi, Argonne National Laboratory, USA
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Christoph Garth, Technische Universität Kaiserslautern,Germany
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Program chair and co-chair:
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Bruno Raffin, INRIA, France
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Sean Ziegeler, US Department of Defense HPC Modernization
Program / GDIT, USA
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Publicity chair:
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Earl P.N. Duque, Intelligent Light, USA
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Publications chair:
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Nicola Ferrier, Argonne National Laboratory, USA
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Early Career Program Committee Chair:
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Tom Vierjahn, Westphalian University of Applied Sciences, Germany
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At-large chair:
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Patrick O’Leary, Kitware, Inc., USA
Organizing Committee
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E. Wes Bethel, Lawrence Berkeley National Laboratory, USA
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Earl P.N. Duque, Intelligent Light, USA
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Nicola Ferrier, Argonne National Laboratory, USA
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Kenneth Moreland, Sandia National Laboratories, USA
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Patrick O’Leary, Kitware, Inc., USA
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Gunther H. Weber, Lawrence Berkeley National Laboratory, USA
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Matthew Wolf, Oak Ridge National Laboratory, USA
Program Committee
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Ilkay Altintas, San Diego Supercomputer Center, USA
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Andrew Bauer, DOD, USA
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Hank Childs, University of Oregon, USA
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Philip Davis, Rutgers University, USA
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Dave DeMarle, Intel, USA
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Earl Duque, Intelligent Light, USA
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Matthieu Dorier, Argonne National Laboratory, USA
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Nicola Ferrier, Argonne National Laboratory, USA
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Steffen Frey, University of Stuttgart, Germany
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Christoph Garth, University of Kaiserslautern, Germany
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Wesley Griffin, National Institute of Standards and
Technology, USA
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Pascal Grosset, Los Alamos National Laboratory, USA
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Joseph A. Insley, Argonne National Laboratory, Northern
Illinois University, USA
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David Kao, NASA Ames Research Center, USA
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Matthew Larsen, Lawrence Livermore National Laboratory, USA
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Samuel Li, National Center for Atmospheric Research, USA
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Burlen Loring, Lawrence Berkeley National Laboratory, USA
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Preeti Malakar, Argonne National Laboratory, USA
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Peter Messmer, NVIDIA, Switzerland
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Ken Moreland,Sandia National Laboratories, USA
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Paul A. Navratil, University of Texas – Austin, USA
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Patrick O’Leary, Kitware, USA
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Kenji Ono, Kyushu University, RIKEN, Japan
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Dave Pugmire, Oak Ridge National Laboratory, USA
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Guido Reina, Universität Stuttgart, Germany
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Alejandro Ribes, EDF R&D, France
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Silvio Rizzi, Argonne National Laboratory, USA
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Thomas Theussl, King Abdullah University of Science and
Technology, Saudi Arabia
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David Thompson, Kitware, Inc., USA
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Tom Vierjahn, Westphalian University of Applied Sciences,
Germany
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Gunther Weber, Lawrence Berkeleye National Laboratory, USA
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Brad Whitlock, Intelligent Light, USA
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Matthew Wolf, Oak Ridge National Laboratory, USA
Early Career Program Committee
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Estelle Dirand,Total Sa, France
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Valentin Bruder, University of Stuttgart, Germany
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Soumya Dutta, Los Alamos National Laboratory, USA
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Colleen Heinemann, University of Illinois, USA
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JamesKress, Oak Ridge National Laboratory, USA
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JonasLukasczyk, Arizona State University, USA
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JesusPulido, UC Davis, USA
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Andrea Schnorr, RWTH Aachen University, Germany
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Will Usher, University of Utah / Intel, USA
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Abhishek Yenpure, University of Oregon, USA
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RobaBinyahib, NREL, USA
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Simon Oehrl,RWTH Aachen University, Germany
Contact Us
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Christoph Garth, General Chair, garth at cs dot uni-kl dot de
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Bruno Raffin, Papers Chair, bruno dot raffin at inria dot fr
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