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 2019: (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
System resources, hardware, and emerging architectures
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
Visualization: information visualization, scientific visualization, time-varying methods
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
Workflows for supporting complex in situ processing pipelines
Reproducibility, provenance and metadata
Using in situ to enable rapid and flexible post-processing exploration and analysis
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 impactfulness 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 8.5” 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 2019 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 2019 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 theACM Prior Publication Policy for more details. Papers can be submitted athttps://submissions.supercomputing.org.
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.
2 August 2019
Paper submission deadline
13 September 2019
7 October 2019
Camera ready copy due
25 October 2019
Final program posted to ISAV web page
18 November 2019
ISAV 2019 workshop at SC19
Committees and Chairs
General chair and co-chair:
Kenneth Moreland, Sandia National Laboratories, USA
Christoph Garth, Technische Universität Kaiserslautern,Germany
Program chair and co-chair:
Wes Bethel, Lawrence Berkeley National Laboratory, USA
Bruno Raffin, INRIA, France
Earl P.N. Duque, Intelligent Light, USA
Publications chair and co-chair:
Nicola Ferrier, Argonne National Laboratory, USA; Silvio Rizzi, Argonne National Laboratory, USA
Early Career Program Committee Chair:
Hank Childs, University of Oregon, USA
Patrick O’Leary, Kitware, Inc., USA
·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
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