ISAV 2021: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization
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
We invite two types of submissions to ISAV 2021: (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, consisting of a 1- or 2-page (+references) submission,
for a brief oral presentation at the workshop. Short papers will appear in the
workshop proceedings and authors will be invited to give an oral presentation of
15 to 20 minutes; lightning round submissions 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. Areas of interest for ISAV include, but are not limited to:
- In situ infrastructures: Novel designs for systems and libraries;
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;
Efficient use of heterogeneous architectures.
- Methods/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;
Resilience: error detection, fault recovery; Workflows for supporting
complex in situ processing pipelines.
- Requirements and Usability: Reproducibility, provenance and metadata; Using
in situ to enable rapid and flexible post-processing; 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 impact 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 8.5in x 11in (U.S. Letter).
Please use the sigconf configuration in the new combined LaTeX
template from ACM available at
http://www.acm.org/publications/article-templates/proceedings-template.html.
We believe that reproducible science is essential, and that SC should be a
leader in this effort. As a consequence, ISAV 2021 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 be used in
ranking a paper. For more information, see the ISAV 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.
Papers may be submitted using 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. Lightning round submissions
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.
Timeline/Important Dates
| 27 Aug 2021 |
Paper submission deadline (was 20 Aug 2021) |
| 01 Oct 2021 |
Author notification (was 24 Sep 2021) |
| 15 Oct 2021 |
Camera ready copy due |
| 15 Nov 2021 |
ISAV 2021 workshop at SC21 |
Committees and Chairs
Chairs
- General chair: Silvio Rizzi, Argonne National Laboratory, USA
- General co-chair: Dave Pugmire, Oak Ridge National Laboratory, USA
- Program chair: Sean Ziegeler, US Department of Defence HPC Modernization Program / GDIT, USA
- Program co-chair: Matt Larsen, Lawrence Livermore National Laboratory, USA
- Publicity chair: Earl Duque, Intelligent Light, USA
- Publication chair: Nicola Ferrier, Argonne National Laboratory, USA
- Early Career Program Committee Chair: Guido Reina, University of Stuttgart, Germany
- At-large Chair: Tom Vierjahn, Westphalian University of Applied Sciences, Germany
Organizing Committee
- E. Wes Bethel, Lawrence Berkeley National Laboratory, USA
- Earl Duque, Intelligent Light, USA
- Nicola Ferrier, Argonne National Laboratory, USA
- Christoph Garth, Technische Universität Kaiserslautern
- Kenneth Moreland, Oak Ridge National Laboratory, USA
- Patrick O’Leary, Kitware, USA
- Silvio Rizzi, Argonne National Laboratory, USA
- Bruno Raffin, INRIA, France
- Silvio Rizzi, Argonne National Laboratory, USA
- Tom Vierjahn, Westphalian University of Applied Sciences, Germany
- Gunther H. Weber, Lawrence Berkeley National Laboratory, USA
- Matthew Wolf, Oak Ridge National Laboratory, USA
- Sean Ziegeler, US Department of Defence HPC Modernization Program / GDIT, USA
Program Committee
- Andrew Bauer, US Army Corps of Engineers, USA
- E. Wes Bethel, Lawrence Berkeley National Laboratory (LBNL); San Francisco State University, USA
- Hank Childs, University of Oregon, USA
- Philip Davis, Rutgers University, Discovery Informatics Institute, USA
- David DeMarle, Intel Corporation, USA
- Estelle Dirand, Total Energy, France
- Matthieu Dorier, Argonne National Laboratory, USA
- Earl P.N. Duque, Intelligent Light, USA
- Soumya Dutta, Los Alamos National Laboratory, USA
- Nicola Ferrier, Argonne National Laboratory (ANL), University of Chicago, USA
- Steffen Frey, University of Groningen, Netherlands
- Christoph Garth, University of Kaiserslautern, Germany
- Pascal Grosset, Los Alamos National Laboratory, USA
- Joseph A. Insley, Argonne National Laboratory, Northern Illinois University, USA
- James Kress, Oak Ridge National Laboratory, University of Oregon, USA
- Samuel Li, National Center for Atmospheric Research, USA
- Burlen Loring, Lawrence Berkeley National Laboratory, USA
- Preeti Malakar, Indian Institute of Technology, India
- Peter Messmer, NVIDIA Corporation, Switzerland
- Kenneth Moreland, Oak Ridge National Laboratory, USA
- Paul A. Navratil, Texas Advanced Computing Center, USA
- Patrick O’Leary, Kitware Inc., USA
- Dave Pugmire, Oak Ridge National Laboratory, USA
- Bruno Raffin, French Institute for Research in Computer Science and Automation (INRIA); Grenoble Alpes University, France
- Guido Reina, University of Stuttgart, Germany
- Alejandro Ribes, EDF Research and Development, France
- Sergei Shudler, Lawrence Livermore National Laboratory, USA
- Thomas Theussl, King Abdullah University of Science and Technology, Saudi Arabia
- Tom Vierjahn, Westphalian University of Applied Sciences, Germany
- Gunther Weber, Lawrence Berkeley National Laboratory; University of California, Davis, USA
- Brad Whitlock, Intelligent Light, USA
- Matthew Wolf, Oak Ridge National Laboratory, USA
- Qi Wu, University of California, Davis, USA
- Sean Ziegeler, US Department of Defense HPC Modernization Program, USA
Early Career Program Committee
- Valentin Bruder, University of Stuttgart, Germany
- Jieyang Chen, Oak Ridge National Laboratory, USA
- Amal Gueroudji, French Alternative Energies and Atomic Energy Commission (CEA), French Institute for Research in Computer Science and Automation (INRIA), France
- Charles Gueunet, Kitware Inc., USA
- Colleen Heinemann, University of Illinois, USA
- Jonas Lukasczyk, Arizona State University, USA
- Nicole Marsaglia, University of Oregon, USA
- Jesus Pulido, Los Alamos National Laboratory, USA
- Andrea Schnorr, Technical University Kaiserslautern, Germany
- Will Usher, University of Utah, Scientific Computing and Imaging Institute (SCI Institute); Intel Corporation, USA
- Abhishek D. Yenpure, University of Oregon, USA
- Silvio Rizzi, General Chair, srizzi at lcf dot anl dot gov
- Sean Ziegeler, Papers Chair, Sean dot Ziegeler at GDIT dot com