[Ieee_vis] call for papers: In Situ Visualization for Computational Science (Springer book)

[Hank Childs]

This Call For Papers seeks contributions for an upcoming Springer book titled "In Situ Visualization for Computational Science."

In situ visualization, i.e., visualizing data as it is generated, is an emerging processing paradigm in response to recent trends in the development of high-performance computers. This paradigm has great promise in its ability to access increased temporal resolution and leverage extensive computational power. However, the paradigm also is widely viewed as limiting when it comes to exploration-oriented use cases. Furthermore, it will require visualization systems to become increasingly complex and constrained in usage. As research efforts on in situ visualization are growing, the state of the art and best practices are rapidly maturing.

The goal of this book is to provide an overview of this emerging field.  Specifically, we seek manuscripts that reflect state-of-the-art research results and best practices in the area of in situ visualization.  Our target audience are researchers and practitioners from the areas of mathematics computational science, high-performance computing, and computer science that work on or with in situ techniques, or desire to do so in the future.  Manuscripts that summarize previous findings in an accessible way for our target audience or survey work on specific aspects of in situ visualization are within scope for the book.

Contributions should address one or more of the following topics:
● Data reduction and compression
● Specification and execution of in situ visualization workflows
● Implications of emerging architectures
● Algorithmic challenges at scale
● Use cases beyond exploratory analysis
● Predictive cost modeling
● Convergence of HPC and big data techniques
● Software Complexity, Heterogeneity, and User-facing Issues

Submissions will be peer-reviewed in a double-blind process by an international program committee, and are subject to a revision cycle before final acceptance.

The timeline for the process is as follows:
● Week of Nov. 5, 2019: Dissemination of the call for contributions and abstract solicitation.
● Dec. 8, 2019: Deadline to contact editors with abstracts (short, informal description of planned contribution)
● Jan. 8, 2020: Deadline for paper submission
● Feb. 5, 2020: Notification of preliminary acceptance / rejection
● Feb. 26, 2020: Revised submissions due
● March 13, 2020: Formal notification of acceptance
● April 3, 2020: Final submissions due
● April 24, 2020: Manuscript complete

Submission Guidelines

We seek manuscripts that reflect state-of-the-art research results and best practices in the area of in situ visualization.  Further, authors are kindly requested to contact the editors with an abstract by Dec. 8, 2019.  These abstracts should be short, informal descriptions of the planned contribution, and should be sent as email to isvfcs20 at cs.uoregon.edu.

Manuscripts should be formatted according to the Springer LaTeX template:
https://www.springer.com/gp/authors-editors/book-authors-editors/resources-guidelines/rights-permissions-licensing/manuscript-preparation/5636

There is no page limit, but we expect most contributions will be 15-20 pages in the Springer format, which is equivalent to an 8 page conference paper in a typical, double column format.  The text must be original and not violate copyright, even for manuscripts that summarize previous findings in an accessible way.

Submission link: https://easychair.org/conferences/?conf=isvfcs20

Editors
Hank Childs, University of Oregon
Janine Bennett, Sandia National Laboratories
Christoph Garth​, University of Kaiserslautern
Contact

All questions about submissions should be emailed to isvfcs20 at cs.uoregon.edu.

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