[hpc-announce] Going Virtual ISAV 2020: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization

[Earl Duque]

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 )

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 and 
the SC20 FAQ for more information.

Call for Papers

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/

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 situ data management and infrastructures


     Current Systems: production quality, research prototypes

     Opportunities

     Gaps

System resources, hardware, and emerging architectures


     Enabling Hardware

     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


     Best practices

     Analysis: feature detection, statistical methods, temporal methods, 
geometric and topological methods

     Visualization: information visualization, scientific visualization, 
time-varying methods

     Data reduction/compression

Case Studies and Data Sources


     Examples/case studies of solving a specific science challenge with 
in situ methods/infrastructure.

     In situ methods/systems applied to data from simulations and/or 
experiments/observations

Simulation and Workflows


     Integration:data modeling, software-engineering

     Workflows for supporting complex in situ processing pipelines

     Composability and interoperability

     Resilience: error detection, fault recovery;

Requirements, Usability


     Reproducibility, provenance and metadata

     Using in situ to enable rapid and flexible post-processing 
exploration and analysis

     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 sigconf configuration 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 the ISAV 2020 
reproducibility FAQ.

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 the ACM 
Prior Publication Policy for more details. Please submit your paper 
through this link. A preview of the paper submission form is available 
at this link.
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 )

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 and 
the SC20 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

     General chair and co-chair:

         Silvio Rizzi, Argonne National Laboratory, USA

         Christoph Garth, Technische Universität Kaiserslautern,Germany

     Program chair and co-chair:

         Bruno Raffin, INRIA, France

         Sean Ziegeler, US Department of Defense HPC Modernization 
Program / GDIT, USA

     Publicity chair:

         Earl P.N. Duque, Intelligent Light, USA

     Publications chair:

         Nicola Ferrier, Argonne National Laboratory, USA

     Early Career Program Committee Chair:

         Tom Vierjahn, Westphalian University of Applied Sciences, Germany

     At-large chair:

         Patrick O’Leary, Kitware, Inc., USA

Organizing Committee

     E. Wes Bethel, Lawrence Berkeley National Laboratory, USA
     Earl P.N. Duque, Intelligent Light, USA
     Nicola Ferrier, Argonne National Laboratory, USA

     Kenneth Moreland, Sandia National Laboratories, USA
     Patrick O’Leary, Kitware, Inc., USA
     Gunther H. Weber, Lawrence Berkeley National Laboratory, USA
     Matthew Wolf, Oak Ridge National Laboratory, USA

Program Committee

     Ilkay Altintas, San Diego Supercomputer Center, USA
     Andrew Bauer, DOD, USA
     Hank Childs, University of Oregon, USA
     Philip Davis, Rutgers University, USA

     Dave DeMarle, Intel, USA
     Earl Duque, Intelligent Light, USA
     Matthieu Dorier, Argonne National Laboratory, USA
     Nicola Ferrier, Argonne National Laboratory, USA
     Steffen Frey, University of Stuttgart, Germany
     Christoph Garth, University of Kaiserslautern, Germany
     Wesley Griffin, National Institute of Standards and Technology, USA
     Pascal Grosset, Los Alamos National Laboratory, USA
     Joseph A. Insley, Argonne National Laboratory, Northern Illinois 
University, USA
     David Kao, NASA Ames Research Center, USA
     Matthew Larsen, Lawrence Livermore National Laboratory, USA
     Samuel Li, National Center for Atmospheric Research, USA
     Burlen Loring, Lawrence Berkeley National Laboratory, USA
     Preeti Malakar, Argonne National Laboratory, USA
     Peter Messmer, NVIDIA, Switzerland
     Ken Moreland, Sandia National Laboratories, USA
     Paul A. Navratil, University of Texas – Austin, USA
     Patrick O’Leary, Kitware, USA
     Kenji Ono, Kyushu University, RIKEN, Japan
     Dave Pugmire, Oak Ridge National Laboratory, USA
     Guido Reina, Universität Stuttgart, Germany
     Alejandro Ribes, EDF R&D, France
     Silvio Rizzi, Argonne National Laboratory, USA
     Thomas Theussl, King Abdullah University of Science and Technology, 
Saudi Arabia
     David Thompson, Kitware, Inc., USA
     Tom Vierjahn, Westphalian University of Applied Sciences, Germany
     Gunther Weber, Lawrence Berkeleye National Laboratory, USA
     Brad Whitlock, Intelligent Light, USA
     Matthew Wolf, Oak Ridge National Laboratory, USA


Early Career Program Committee

     Estelle Dirand, Total Sa, France
     Valentin Bruder, University of Stuttgart, Germany
     Soumya Dutta, Los Alamos National Laboratory, USA
     Colleen Heinemann, University of Illinois, USA
     James     Kress,  Oak Ridge National Laboratory, USA
     Jonas    Lukasczyk, Arizona State University, USA
     Jesus    Pulido, UC Davis, USA
     Andrea Schnorr, RWTH Aachen University, Germany
     Will Usher, University of Utah / Intel, USA
     Abhishek Yenpure, University of Oregon, USA
     Roba    Binyahib, NREL, USA
     Simon Oehrl, RWTH Aachen University, Germany

Contact Us

     Christoph Garth, General Chair, garth at cs dot uni-kl dot de

     Bruno Raffin, Papers Chair, bruno dot raffin at inria dot fr