ISAV 2021: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization
Held in conjunction with
Full day: Monday 15 Nov 2021, 09:00am – 5:30pm CST
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.
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.
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.
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.
All paper submissions that receive favorable reviews will be included as part of the workshop proceedings, which will be published (details to be provided later). 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.
|20 Aug 2021||Paper submission deadline|
|24 Sep 2021||Author notification|
|15 Oct 2021||Camera ready copy due|
|15 Nov 2021||ISAV 2021 workshop at SC21|
- 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
- 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
- Silvio Rizzi, General Chair, srizzi at lcf dot anl dot gov
- Sean Ziegeler, Papers Chair, Sean dot Ziegeler at GDIT dot com